WO2014087606A1 - Photographic image display device and photographic image display method - Google Patents

Photographic image display device and photographic image display method Download PDF

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Publication number
WO2014087606A1
WO2014087606A1 PCT/JP2013/006959 JP2013006959W WO2014087606A1 WO 2014087606 A1 WO2014087606 A1 WO 2014087606A1 JP 2013006959 W JP2013006959 W JP 2013006959W WO 2014087606 A1 WO2014087606 A1 WO 2014087606A1
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Prior art keywords
moving body
image
driver
captured image
index value
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PCT/JP2013/006959
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French (fr)
Japanese (ja)
Inventor
宗作 重村
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株式会社デンソー
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Publication of WO2014087606A1 publication Critical patent/WO2014087606A1/en

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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems
    • G08G1/166Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/59Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • G06V20/597Recognising the driver's state or behaviour, e.g. attention or drowsiness

Definitions

  • the present disclosure relates to a photographed image display apparatus and a photographed image display method for detecting a moving body from a photographed image photographed by a vehicle-mounted camera and displaying a photographed image in which the movable body is highlighted.
  • Various driving support technologies have been developed for the purpose of enabling the driver to drive the vehicle safely and comfortably.
  • a driving support technology there is a technology for detecting a moving body such as a pedestrian or a vehicle existing in front of or around the vehicle and informing the driver (hereinafter referred to as a moving body detection notification technology). To do.
  • This moving object detection notification technology is not affected by the difference in the size of the moving object, the difference in the distance to the moving object, and the fact that part of the moving object is behind something. Therefore, it is necessary to be able to detect the moving body without leakage and correctly. Nevertheless, it is also required that the processing load for detection is not excessive, and various detection methods such as a method using pattern matching have been developed in order to satisfy these requests (for example, patent documents). 1).
  • Patent Document 2 a technique has been developed that can detect a moving object accurately even at night by taking an image with near-infrared light.
  • the driver is notified of the presence of the moving body by displaying a photographed image on a monitor screen and surrounding the area where the moving body is detected with a frame.
  • the technology for notifying the driver of the presence of the detected moving body has not caught up with the advancement of the technology for detecting the moving body, and therefore the detection result of the moving body is used as driving assistance for the driver.
  • the detected moving object is displayed by enclosing the moving object in a frame on the in-vehicle camera image displayed on the monitor screen.
  • the moving object is small, it is enclosed in a frame.
  • the driver cannot immediately recognize what the moving object is.
  • even when a moving object is shown in a dark image (or a dark portion in the image) the driver cannot immediately recognize what the moving object is surrounded by the frame.
  • the driver is tired or feels sleepy, such a tendency becomes even more remarkable, and as a result, it becomes difficult to utilize the detection result of the moving body for driving assistance of the driver.
  • JP2007-087551A Japanese Patent No. 4611919
  • the present disclosure has been made in view of the above points, and provides a captured image display device and a captured image display method that allow a driver to recognize a detection result of a moving object regardless of a driver's condition.
  • the purpose is to do.
  • the captured image display device includes a moving object detection unit, an index value detection unit, a wakefulness detection unit, a display mode determination unit, and a display control unit.
  • the moving body detection unit detects at least one moving body from the captured image when the moving body is present in the captured image captured by the in-vehicle camera.
  • the index detection unit detects an index value related to ease of recognition by the driver for each detected moving body.
  • the awakening level detection unit detects the driver's awakening level.
  • the display mode determination unit determines a highlighted display mode for highlighting and displaying each mobile body based on the index value of each mobile body and the arousal level.
  • a display control part produces
  • the captured image display method detects at least one moving object from a captured image captured by an in-vehicle camera, and sets an index value related to the ease of recognition by the driver for each detected moving object. Detecting, detecting the driver's arousal level, determining an emphasis display mode for emphasizing and displaying each mobile unit based on the index value of each mobile unit and the arousal level, and highlighting each mobile unit
  • Each moving body may generate an image displayed in an emphasized manner in the captured image and display the image on a display screen based on an aspect.
  • FIG. 1 is an explanatory diagram of a vehicle equipped with a captured image display device according to an embodiment of the present disclosure.
  • FIG. 2 is a block diagram of the captured image display device.
  • FIG. 3 is a flowchart of the first half of the captured image display process of the present embodiment.
  • FIG. 4 is a flowchart of the latter half of the captured image display process of the present embodiment.
  • FIG. 5 is an explanatory diagram illustrating a captured image acquired from the in-vehicle camera.
  • 6 (a) to 6 (d) are explanatory diagrams showing a method for detecting the size and contrast of the moving object, FIG.
  • FIG. 7 is an explanatory diagram of a method of determining the recognition ease according to the size and contrast of the moving object.
  • FIG. 8A and FIG. 8B are explanatory diagrams of a method for correcting the degree of ease of recognition of a moving object according to the driver's arousal level.
  • FIG. 9A and FIG. 9B are explanatory diagrams illustrating the manner in which the range that is difficult to recognize changes depending on the driver's arousal level
  • FIG. 10 is an explanatory diagram illustrating a method of determining a highlight mode according to the recognition ease corrected by the arousal level
  • FIG. 11A and FIG. 11B are explanatory diagrams illustrating a method for displaying a moving object with enhanced contrast.
  • FIG. 12B are explanatory views illustrating another method of displaying the contrast of the moving object with emphasis
  • FIG. 13A and FIG. 13B are explanatory diagrams illustrating a method of displaying a moving body with an enlarged size
  • FIG. 14A and FIG. 14B are explanatory diagrams illustrating a method of displaying a moving object by replacing it with a symbol image.
  • FIG. 15 is an explanatory diagram illustrating a captured image displayed on the display monitor in a state where the moving object is highlighted
  • FIG. 16 is an explanatory diagram conceptually showing a method for determining the highlighted display mode of the moving object in the captured image display processing of the modified example.
  • FIG. 1 shows a rough configuration of a vehicle 1 on which the captured image display device 100 of the present embodiment is mounted.
  • the captured image display device 100 of the present embodiment displays an in-vehicle camera 10 that captures an image in the traveling direction (or surroundings) of the vehicle 1 and an image (captured image) captured by the in-vehicle camera 10. It is mounted on the vehicle 1 together with a display monitor 14 that is a display screen, a driver camera 12 that captures a face image of the driver of the vehicle 1, and the like.
  • the captured image display device 100 receives a captured image captured by the in-vehicle camera 10, detects a moving body (for example, a pedestrian or a vehicle) in the captured image and drives the moving body when the captured image includes a moving body.
  • the captured image is displayed on the display monitor 14 in a state of being highlighted so as to be easily recognized by a person. Further, when determining the highlighting mode of the moving object, the driver's arousal level is detected from the face image captured by the driver camera 12, and the mode of highlighting is determined in consideration of the awakening level.
  • FIG. 2 shows an internal configuration of a photographed image display device (IMG DISP APPA) 100 that controls the above-described functions.
  • the captured image display device 100 is connected to an in-vehicle camera (IN-V CAMERA) 10, a driver camera (DRIVER CAMERA) 12, a display monitor (DISP MONITOR) 14, and an image storage unit (IMG STORE).
  • IMG DISP APPA photographed image display device
  • MOVE OBJ DETC moving object detection unit
  • INDEX DETC index value detection unit
  • WAKE LV DETC arousal level detection unit
  • DISP MODE DECIDE display mode determination unit
  • DISP IMG GENERATE display image generation unit
  • SYMBOL IMG STORE symbol image storage unit
  • these seven “parts” are those for which the captured image display device 100 is classified for the sake of convenience, and the inside of the captured image display device 100 needs to be physically divided into seven parts. There is no. Of these seven “units”, the image storage unit 102 and the symbol image storage unit 114 are realized by a memory (not shown), but the other five “units” are hardware using a logic circuit or a CPU. It can be realized as hardware, or can be realized as software as a computer program or a part of the program.
  • the image storage unit 102 receives the captured image from the in-vehicle camera 10 and stores it in the memory.
  • the moving body detection unit 104 reads the captured image stored in the image storage unit 102, and detects a moving body from the captured image when a moving body such as a pedestrian is reflected in the captured image.
  • Various known methods such as a method using pattern matching can be used for detecting the moving object.
  • the index value detection unit 106 detects an index value (recognition level) indicating the ease of recognition for the driver for each of the mobile bodies detected by the mobile body detection unit 104. The ease of recognition will be described in detail later.
  • the arousal level detection unit 108 analyzes the driver's face image taken by the driver camera 12 and detects the driver's arousal level.
  • a well-known method can be used, such as detecting the arousal level based on the frequency with which the driver moves his / her line of sight, the frequency of blinking, and the speed of the eyelid when blinking.
  • the degree of arousal may be detected by measuring the driver's heart rate and breathing by incorporating a pressure sensor in the driver's seat, for example, without being limited to the face image photographed by the driver camera 12.
  • the display mode determination unit 110 displays a mode for highlighting the moving body for each moving body based on the index value (recognition level) detected by the index value detection unit 106 and the arousal level detected by the arousal level detection unit 108. decide. Further, in this embodiment, as one mode for highlighting the moving body, a mode is also set in which the image of the moving body is replaced with a symbol image corresponding to the moving body and displayed.
  • the “symbol image corresponding to the moving object” is, for example, a graphic image obtained by simplifying the shape of a human if the moving object is a pedestrian, and the animal shape and face are simplified if the moving object is an animal. It is an image of a figure that has become These symbol images are stored in advance in the symbol image storage unit 114.
  • the display image generation unit 112 reads the captured image stored in the image storage unit 102, the moving body detected by the moving body detection unit 104 is highlighted in the highlighted display mode determined by the display mode determination unit 110.
  • the displayed image is generated and output to the display monitor 14.
  • the moving body detection unit 104 corresponds to the “moving body detection unit” in the present disclosure
  • the index value detection unit 106 corresponds to the “index value detection unit” in the present disclosure
  • the arousal level detection unit 108 corresponds to the “wakefulness detection unit” of the present disclosure
  • the display mode determination unit 110 corresponds to the “display mode determination unit” of the present disclosure
  • the symbol image storage unit 114 corresponds to the “symbol image storage unit” of the present disclosure.
  • the display monitor 14 merely displays the captured image according to the image data output from the display image generation unit 112
  • the display image generation unit 112 actually controls the display monitor 14 to display the captured image. You can think that you are. Therefore, the display image generation unit 112 of this embodiment is also referred to as a display control unit 112 and corresponds to the “display control unit” of the present disclosure.
  • FIG. 3 and 4 show a flowchart of the captured image display process of the present embodiment executed by the captured image display apparatus 100.
  • FIG. This process is a process executed at a constant cycle of about 30 times per second in synchronization with the movement of the in-vehicle camera 10 to capture an image.
  • the image storage unit 102 in the captured image display device 100 stores the captured image output from the in-vehicle camera 10 (S100).
  • the moving object detection unit 104 in the captured image display device 100 analyzes the captured image, thereby moving the moving object (pedestrian, vehicle, animal, etc.) in the captured image. Is detected (S102).
  • the moving body in the captured image is detected as follows.
  • a typical luminance change pattern of a portion where a pedestrian is shown in the image is stored in advance.
  • a typical change pattern of a portion in which an image of a vehicle or an animal is captured is stored.
  • a portion where the luminance is changed in a pattern close to these typical change patterns is searched for in the captured image. For example, if a certain part in the photographed image is close to the pedestrian change pattern, it can be determined that a pedestrian is shown in that part.
  • it can be determined that the vehicle it can be determined that the vehicle is shown, and if it is close to the change pattern of the animal, it can be determined that the animal is shown.
  • the type of moving body (pedestrian, vehicle, animal, etc.) to be detected changes depending on which change pattern is used, such as for pedestrians, vehicles, and animals. Therefore, if various types of change patterns are stored in advance, it is possible to detect more types of moving bodies. Moreover, the classification of the detected moving body can be determined depending on which classification change pattern is used.
  • FIG. 5 shows an example in which a moving body is detected from a captured image when a moving body is present in the captured image.
  • pedestrian images A to E and a vehicle image F are detected.
  • a dashed frame surrounding a pedestrian or vehicle in a rectangle represents the position of the change pattern when the moving body is detected.
  • the broken-line rectangle surrounding the pedestrian image A in the figure changes the luminance in the captured image in the same manner as the change pattern when the pedestrian change pattern of that size is placed at that position.
  • a broken-line rectangle surrounding the vehicle image F indicates that the luminance in the captured image changes in the same manner as the change pattern when the change pattern for the vehicle of that size is placed at that position. ing.
  • FIGS. 6A to 6D show examples of detecting the size and contrast of a moving body detected from a captured image.
  • size of a pedestrian will be represented by the length of the diagonal line of the change pattern (dashed rectangle) which detected the pedestrian (FIG. 6 (a)). reference). If the length of the diagonal line is used, the size of the moving object can be expressed without distinguishing between the case of using a vertically long change pattern like a pedestrian and the case of using a horizontally long change pattern like a vehicle. Can do.
  • the contour of the pedestrian shown in the image A is detected by detecting an edge with respect to the image A of the pedestrian (dotted line in FIG. 6B), and the portion inside the contour ( The average luminance at the moving body part) is calculated (see FIG. 6C). Further, the average luminance in the portion outside the contour (background portion) is also calculated (see FIG. 6D). The difference in average luminance between the inside of the contour (moving body portion) and the outside of the contour (background portion) can be detected as the contrast of the moving body. Of course, the contrast may be detected using other known methods.
  • the degree of ease of recognition of the moving body (how easily the moving body can be recognized by the driver) can be determined. For example, the driver can easily recognize the size of the moving body as the moving body becomes larger. Further, regarding the contrast of the moving body, it becomes difficult for the driver to recognize the contrast because the contrast between the moving body and the background becomes difficult to distinguish. Therefore, the driver can easily recognize the higher the contrast of the moving body.
  • the driver cannot easily recognize even if the contrast is high.
  • the contrast is low, if the moving body is sufficiently large, the driver can recognize the moving body relatively easily.
  • FIG. 7 shows results obtained by experimentally determining the ease of recognition (recognition level) for moving bodies having various sizes and contrasts. If such data is obtained, it is possible to determine the ease of recognition of the moving object from the size and contrast detected for the moving object.
  • the size of the moving body increases along the arrow direction
  • the contrast of the moving body increases along the arrow direction
  • the recognition degree is high along the arrow direction, that is, the recognition becomes easy. .
  • the pedestrian of the location which displayed "A” in the figure has sufficient size and contrast is high, a driver
  • the vehicle at the location indicated as “F” in the figure is sufficiently large but has a low contrast, so that the ease of recognition is slightly reduced.
  • the pedestrians indicated by “B” or “E” are not sufficiently large in size and low in contrast, so that the degree of recognition is further reduced.
  • the pedestrian at the location indicated by “D” in the figure has a high contrast but a small size, so the driver cannot easily recognize it, and the degree of recognition becomes small.
  • the pedestrian at the location indicated by “C” in the drawing is very small in size and low in contrast, the degree of recognition is very small.
  • the index value detection unit 106 receives the size and contrast of the moving object from the moving object detection unit 104, the index value detection unit 106 refers to the data stored in the memory to determine the recognition ease for each moving object (see FIG. 3 S104).
  • the arousal level detection unit 108 of the captured image display device 100 detects the driver's arousal level by analyzing the driver's face image captured by the driver camera 12 (S106).
  • Various known methods can be applied to detect the degree of arousal.
  • the driver's pupil is detected from the face image, and the frequency with which the driver moves the line of sight is detected from the movement of the pupil position.
  • the arousal level may be detected by detecting the frequency with which the driver blinks, the movement speed of the eyelid when blinking, and the like.
  • the degree of arousal can be detected by monitoring the driver's breathing and pulse using a pressure sensor built in the driver's seat.
  • one arbitrary moving body is selected from one or a plurality of moving bodies detected in the captured image (S108 in FIG. 3). Then, the recognition ease of the selected moving object is corrected based on the arousal level (S110). For example, a driver who is sufficiently awake can recognize a pedestrian in a portion displayed as “B” or “E” in the captured image of FIG. 5, but the driver's arousal level is reduced. Then, it becomes difficult to recognize these pedestrians. Therefore, the ease of recognition of the moving object is corrected in consideration of the influence of the driver's arousal level.
  • a correction coefficient corresponding to the driver's arousal level is set in advance in a memory (not shown). Then, when the display mode determination unit 110 receives the recognition ease and the arousal level from the index value detection unit 106 and the arousal level detection unit 108, the display mode determination unit 110 reads the correction coefficient corresponding to the arousal level and multiplies the recognition level by the correction coefficient. The corrected recognition degree is calculated.
  • FIG. 8 (a) shows an example in which a correction coefficient is set in advance according to the driver's arousal level.
  • the arousal level is obtained in six stages, and a correction coefficient of 1.0 is set for the arousal level of 5 (completely awakened state). Also, the correction coefficient decreases as the awakening level decreases.
  • FIG. 8B conceptually shows an example in which the recognition ease determined by the size and contrast of the moving object is modified according to the arousal level.
  • FIG. 9A shows the degree of ease of recognition for the size and contrast of the moving object when the driver's arousal level is sufficiently high. It is expected that the driver cannot recognize the moving body in the area (indicated by slanted lines in the figure) even if the image captured by the in-vehicle camera 10 is displayed on the display monitor 14 as it is.
  • FIG. 9B shows the degree of ease of recognition for the size and contrast of the moving body when the driver's arousal level is lowered. Since the correction is made, the area where the recognition ease is less than or equal to the allowable value (the area where the driver cannot be recognized even if displayed on the display monitor 14 as it is) becomes wider.
  • the size of the moving body increases along the direction of the arrow, the contrast of the moving body increases along the direction of the arrow, and the ease of recognition is increased in the direction of the arrow. It becomes high along the line, that is, it becomes easy to recognize.
  • the display mode determination unit 110 of the photographed image display device 100 compares the corrected recognition ease with the allowable value and does not satisfy the allowable value (S112: NO), depending on the corrected easy recognition level.
  • the highlighted display mode is determined (S114 in FIG. 4).
  • FIG. 10 exemplifies a highlight mode according to the degree of easy recognition after correction.
  • the detected moving body is surrounded by a frame.
  • the first threshold value is set to a value smaller than the allowable value.
  • the frame surrounding the moving body can be the size of the change pattern (see FIGS. 5 and 6A to 6D) used to detect the moving body.
  • the driver can reliably recognize the moving object simply by surrounding the moving object with a frame. It becomes possible to do.
  • the moving body (moving body that is less than the first threshold value but greater than or equal to the second threshold value) that has been corrected in consideration of the driver's arousal level
  • the moving body is surrounded by a frame and contrast is increased. Is highlighted.
  • the second threshold value is set to a value smaller than the first threshold value.
  • the contrast is also displayed with emphasis, so that the driver can surely recognize the moving body. A method for enhancing the contrast of the moving object will be described later.
  • the mobile object For mobile objects that have a smaller level of recognition that has been corrected in consideration of the degree of arousal (moving objects that are less than the second threshold, but greater than or equal to the third threshold), the mobile object is surrounded by a frame and contrast is enhanced. Further, the image of the moving object is enlarged and displayed.
  • the third threshold value is set to a value smaller than the second threshold value. In this way, it is possible to reliably recognize even a moving body that cannot be reliably recognized by the driver simply by enclosing the frame and enhancing the contrast. A method of enlarging and displaying the moving object image will be described later.
  • images of moving objects taken with the in-vehicle camera 10 are classified according to the type of moving object.
  • the symbol image to be replaced is displayed. For example, if the moving body is an image of a pedestrian, it is replaced with a simple figure (symbol image) representing a person and displayed. If the moving body is an animal, it is displayed by replacing it with a simple figure (symbol image) representing the animal. Since the symbol image is set to a simple and easy-to-understand graphic, the driver can easily recognize it even if it is displayed in a small size. The symbol image will be described in detail later.
  • the display mode determination unit 110 of the captured image display apparatus 100 determines that the value of the ease of recognition of the selected moving object corrected according to the arousal level is less than the allowable value (see FIG. 4). (S112: NO), an emphasis display mode when the moving body is displayed on the display monitor 14 is determined according to the corrected recognition ease (S114).
  • the display image generation unit 112 of the captured image display device 100 generates an image of the moving object highlighted in the determined manner, and generates an image (captured image) captured by the in-vehicle camera 10.
  • the moving body image (highlighted image) is synthesized (S116).
  • the determined highlighting mode is a moving body (a moving body having a corrected recognition degree equal to or higher than the first threshold and lower than the allowable value) in a mode of being displayed surrounded by a frame
  • the determined highlighted display mode is a moving body (a moving body having a corrected recognition degree equal to or higher than the second threshold value and lower than the first threshold value) that is displayed in a frame and with the contrast emphasized.
  • FIGS. 11 (a), 11 (b), 12 (a), and 12 (b) exemplify a method for generating an image of a moving body with enhanced contrast.
  • FIGS. 11 (a) and 11 (b) will be described.
  • a little bright (brightness is shown) on a dark (low brightness) background.
  • High moving object (pedestrian B) is shown.
  • the rate of expanding the gradation range may be increased as the recognition ease corrected according to the arousal level is smaller.
  • a slightly dark (low luminance) moving body (pedestrian B) is shown on a bright (high luminance) background.
  • the luminance on the moving body side is decreased with the background side as a reference. In this way, the gradation range of luminance within the frame can be expanded, and the contrast of the moving object can be enhanced.
  • the contrast is enhanced, and the image is further enlarged (the second recognition level when the moving body is corrected is greater than or equal to the third threshold). If it is less than the threshold), the image of the moving object with the contrast enhanced by the above-described method is further enlarged as follows, and the finally obtained moving object image is combined with the captured image. .
  • FIG. 13 (a) and 13 (b) illustrate several methods for enlarging a moving object image.
  • the image of the moving object is enlarged within the range of the frame surrounding the moving object.
  • the portion that protrudes from the frame due to enlargement of the image of the moving object is not displayed.
  • an image in a state where the upper end portion of the pedestrian's head and the tip portion of the foot are missing is displayed.
  • the image of the moving body is enlarged for each frame surrounding the moving body.
  • the image around the frame before enlargement is overwritten with the image of the moving body enlarged together with the frame.
  • the ratio of enlarging the image may be increased as the recognition degree after correction is smaller.
  • the image of the moving object is enlarged, a distant moving object will appear to be in the vicinity, so it is desirable to set a predetermined upper limit for the enlargement ratio.
  • the determined highlighting mode is a mode in which the moving body is replaced with a symbol image (when the ease of recognition after correction of the moving body is less than the third threshold)
  • the captured image is displayed.
  • the image of the part in which the moving body is shown is replaced with a symbol image corresponding to the type of the moving body to synthesize the captured image.
  • the symbol image 114s representing a person is overwritten on the image of the portion where the pedestrian is shown. If an animal is shown, a symbol image 114s representing the animal as illustrated in FIG. 14B is overwritten. These symbol images 114 s are stored in advance in the symbol image storage unit 114.
  • the moving object to be replaced with the symbol image 114s is considered to be very small like a pedestrian in the portion “C” in FIG. For this reason, if the size of the symbol image 114s is displayed in accordance with the size of the moving object, the symbol image 114s may be too small to be recognized by the driver. In view of this, the symbol image storage unit 114 stores one symbol image 114s large enough to be recognized by the driver for each type of moving object, and the size of the moving object shown in the captured image. Regardless of this, the symbol image 114s having the same size is replaced and displayed.
  • the display image generating unit 112 displays the image data of the finally obtained captured image on the display monitor 14.
  • step S120 the captured image display process of this embodiment is terminated.
  • the captured image is displayed on the display monitor 14 in a state where all the moving bodies detected by the moving body detection unit 104 can be easily recognized by the driver.
  • FIG. 15 illustrates a captured image displayed on the display monitor 14. Compared with the image captured by the in-vehicle camera 10 shown in FIG. 5, in the captured image displayed on the display monitor 14, even a moving body that is difficult for the driver to recognize is highlighted depending on the degree of difficulty. As a result, all the moving objects are displayed in a state where they can be easily recognized.
  • the vehicle indicated by “F” in the figure is sufficiently large in the image taken by the in-vehicle camera 10 (the image in FIG. 5), but the contrast is low, so the driver may overlook it.
  • the image on the display monitor 14 in FIG. 15 is surrounded by a frame and is thus easily recognized by the driver.
  • a pedestrian at a location indicated as “B” or “E” in the drawing may not be sufficiently large and has a low contrast in the image taken by the in-vehicle camera 10, so the driver may miss it. is there.
  • the frame is displayed surrounded by a frame and the contrast is also emphasized, so that the driver can easily recognize it as much as the vehicle at the location “F”. .
  • the pedestrian at the location indicated by “D” in the figure is likely to be overlooked by the driver because it is small in size and low in the image taken by the in-vehicle camera 10.
  • the screen on the display monitor 14 in FIG. 15 is displayed surrounded by a frame and emphasized in contrast, and is further magnified, so that it is compared with a pedestrian “B” or “E”. To the extent that it is not significantly different, it is easier for the driver to recognize.
  • the pedestrian at the location indicated by “C” in the figure is very small and has a low contrast in the image taken by the in-vehicle camera 10, the driver can hardly recognize it, but on the display monitor 14 in FIG. In this screen, the symbol image 114s is replaced and displayed.
  • the symbol image 114s is a simple figure and easily visible, so that the driver can easily recognize it.
  • the pedestrian of the location indicated as “A” in the figure is sufficiently large and has high contrast, the driver can easily recognize the image taken by the in-vehicle camera 10 as it is.
  • the driver can easily recognize any moving body. For this reason, in this embodiment, even a moving body that is difficult for the driver to recognize is highlighted and displayed according to the degree of ease of recognition of the moving body, so that the driver can recognize the presence of all detected moving bodies. It is possible.
  • the ease of recognition of moving objects is corrected according to the driver's arousal level, and the highlighting mode is determined based on the corrected level of recognition, so it can be detected regardless of the driver's condition. It is possible to make the driver recognize all the moving bodies.
  • the display mode determination unit 110 determines the highlight mode for highlighting the mobile unit for each mobile unit, and the display image generation unit 112 determines An image in which the moving body is highlighted in the highlighted display mode is generated, and the generated image is displayed on the display device 14.
  • the moving body can be highlighted in a manner that takes into consideration not only the index value relating to the ease of recognition of the moving body but also the driver's arousal level. For this reason, even when the driver feels tired or sleepy, the driver can recognize the moving body detected from the captured image.
  • the index value detection unit 106 detects the size of the moving body on the captured image as an index value related to the ease of recognition by the driver.
  • the size of the moving body on the photographed image is largely related to the ease of recognition by the driver and is easy to detect. Therefore, the size of the moving body on the captured image can be suitably used as an index value relating to the ease of recognition by the driver.
  • the index value detection unit 106 determines the contrast of the moving body (that is, an index related to the luminance difference between the portion where the moving body appears on the captured image and the background portion of the moving body) by the driver. It is detected as an index value related to ease of recognition.
  • the magnitude of the contrast of the moving object on the photographed image is greatly related to the ease of recognition by the driver, and is easy to detect. Therefore, the contrast of the moving body on the captured image can also be suitably used as an index value related to the ease of recognition by the driver.
  • the display mode determination unit 110 may display the mobile body in an enlarged display mode by highlighting the mobile body.
  • the moving object can be easily highlighted on the photographed image.
  • the display mode determination unit 110 may use a display mode in which the contrast between the moving body and the background portion of the moving body is emphasized and displayed with the moving body highlighted.
  • the moving object can be easily highlighted on the captured image.
  • the display mode determination unit 110 corresponds to the classification of the moving object from the symbol image storage unit 114 in which a predetermined symbol image is stored for each classification of the moving object (for example, a pedestrian or a vehicle).
  • the symbol image to be acquired may be acquired, and the image of the moving object in the captured image may be replaced with the symbol image corresponding to the type of the moving object and displayed. That is, the display mode determination unit 110 may change the display of the moving body image to the symbol image corresponding to the type of the moving body and may display the highlighted moving body.
  • FIG. 16 shows a concept for determining the highlighting mode of the moving object in the captured image display process of the modification.
  • the main reason for the ease of recognition being below the allowable value is mainly low contrast. You can think that there is. Therefore, as shown by the white arrow in the figure, the highlighted display mode that mainly emphasizes the contrast is determined.
  • the vehicle shown in the place indicated by “F” in the captured image corresponds to the moving body of the first group.
  • the reason why the ease of recognition falls below the permissible value is the reason for the moving object having a medium size and contrast. And it can be considered that both of them are in contrast. Therefore, as indicated by the white arrow in the figure, the highlighted display mode is selected so that the moving body is enlarged and the contrast is also emphasized. However, if the moving body is enlarged, the perspective is distorted, so it is desirable to keep the expansion rate of the moving body low.
  • a pedestrian reflected in a place indicated as “B” or “E” in the photographed image corresponds to the moving body of the second group.
  • the reason why the ease of recognition is below the allowable value is small. You can think that there is. Accordingly, although the size of the moving body is enlarged, there is a limit to enlargement because the perspective is distorted if it is enlarged too much. Therefore, as shown by the white arrow in the figure, the moving object is enlarged, and the highlighted display mode is determined by compensating for the portion that is insufficient only by the enlargement of the moving object by enhancing the contrast.
  • a pedestrian who appears in a place where “D” is displayed in the captured image corresponds to a moving body of the third group.
  • a pedestrian that appears in a place indicated by “C” in the captured image corresponds to a moving body of the fourth group.
  • the moving body is displayed on the screen of the display monitor 14. A captured image highlighted in a more appropriate manner can be displayed.

Abstract

A photographic image display device comprises a mobile body detection unit (104), an index value detection unit (106), an arousal degree detection unit (108), a display mode determination unit (110), and a display control unit (112). If a mobile body is present in a photographic image which is photographed with a vehicle-mounted camera (10), the mobile body detection unit (104) detects at least one mobile body from the photographic image. The index value detection unit (106) detects an index value for each detected mobile body relating to ease of recognition by a driver. The arousal degree detection unit (108) detects a degree of arousal of the driver. The display mode determination unit (110) determines, on the basis of the index value of each mobile body and the degree of arousal, an enhanced display mode whereby each mobile body is displayed in an enhanced form. On the basis of the enhanced display mode of each mobile body, the display control unit (112) generates an image wherein each mobile body is displayed in the enhanced form in the photographed image and displays same in a display screen (14).

Description

撮影画像表示装置、および撮影画像表示方法Captured image display device and captured image display method 関連出願の相互参照Cross-reference of related applications
 本開示は、2012年12月3日に出願された日本出願番号2012-264759号に基づくもので、ここにその記載内容を援用する。 This disclosure is based on Japanese Patent Application No. 2012-264759 filed on December 3, 2012, the contents of which are incorporated herein.
 本開示は、車載カメラで撮影した撮影画像から移動体を検出して、移動体が強調表示された撮影画像を表示する撮影画像表示装置、および撮影画像表示方法に関する。 The present disclosure relates to a photographed image display apparatus and a photographed image display method for detecting a moving body from a photographed image photographed by a vehicle-mounted camera and displaying a photographed image in which the movable body is highlighted.
 運転者が安全に、且つ快適に車両を運転できるようにすることを目的として、様々な運転支援技術が開発されている。そのような運転支援技術の代表的なものとして、車両の前方あるいは周辺に存在する歩行者や車両などの移動体を検出して、運転者に知らせる技術(以下、移動体検出通知技術)が存在する。 Various driving support technologies have been developed for the purpose of enabling the driver to drive the vehicle safely and comfortably. As a representative example of such driving support technology, there is a technology for detecting a moving body such as a pedestrian or a vehicle existing in front of or around the vehicle and informing the driver (hereinafter referred to as a moving body detection notification technology). To do.
 この移動体検出通知技術では、移動体の大きさの違いや、移動体までの距離の違い、更には、移動体の一部が何かの陰になっていること等による影響を受けずに、洩れなく且つ正しく移動体を検出可能なことが必要となる。それでいながら、検出のための処理負担が過大とならないことも要請され、これらの要請を満たすために、パターンマッチングを利用した方式を初めとする種々の検出方式が開発されてきた(たとえば特許文献1)。 This moving object detection notification technology is not affected by the difference in the size of the moving object, the difference in the distance to the moving object, and the fact that part of the moving object is behind something. Therefore, it is necessary to be able to detect the moving body without leakage and correctly. Nevertheless, it is also required that the processing load for detection is not excessive, and various detection methods such as a method using pattern matching have been developed in order to satisfy these requests (for example, patent documents). 1).
 また、近赤外光による画像を撮影することで、夜間であっても移動体を正確に検出可能とする技術も開発されている(特許文献2)。 In addition, a technique has been developed that can detect a moving object accurately even at night by taking an image with near-infrared light (Patent Document 2).
 もっとも、如何に精度良く移動体を検出できたとしても、車両を運転するための最終的な判断は運転者に委ねられる。そこで、これらの移動体検出通知技術では、撮影した画像をモニター画面に表示し、移動体が検出された領域を枠で囲うなどの方法で、移動体の存在を運転者に通知している。 However, no matter how accurately the moving body can be detected, the final judgment for driving the vehicle is left to the driver. Therefore, in these moving body detection notification techniques, the driver is notified of the presence of the moving body by displaying a photographed image on a monitor screen and surrounding the area where the moving body is detected with a frame.
 しかし、現状では、移動体を検出する技術の進歩に対して、検出した移動体の存在を運転者に通知する技術が追いついておらず、従って、移動体の検出結果を運転者の運転支援に十分に活用できていないという問題があった。たとえば現状では、検出した移動体は、モニター画面に表示した車載カメラの画像上で移動体を枠で囲うことによって表示しているが、移動体が小さく写っている場合には、枠で囲われた移動体が何であるかを運転者は直ちには認識することができない。また、暗い画像(あるいは画像中の暗い部分)に移動体が写っている場合にも、枠で囲われた移動体が何であるかを運転者は直ちには認識することができない。そして、運転者が疲れている場合や眠気を感じている場合には、こうした傾向はより一層顕著となり、その結果、移動体の検出結果を運転者の運転支援に活用することが困難となる。 However, at present, the technology for notifying the driver of the presence of the detected moving body has not caught up with the advancement of the technology for detecting the moving body, and therefore the detection result of the moving body is used as driving assistance for the driver. There was a problem that it was not fully utilized. For example, currently, the detected moving object is displayed by enclosing the moving object in a frame on the in-vehicle camera image displayed on the monitor screen. However, if the moving object is small, it is enclosed in a frame. The driver cannot immediately recognize what the moving object is. In addition, even when a moving object is shown in a dark image (or a dark portion in the image), the driver cannot immediately recognize what the moving object is surrounded by the frame. When the driver is tired or feels sleepy, such a tendency becomes even more remarkable, and as a result, it becomes difficult to utilize the detection result of the moving body for driving assistance of the driver.
特開2007-058751号公報JP2007-087551A 特許第4611919号公報Japanese Patent No. 4611919
 本開示は、上記点に鑑みてなされたものであり、運転者のコンディションによらず、移動体の検出結果を運転者に認識させることが可能な撮影画像表示装置、および撮影画像表示方法を提供することを目的とする。 The present disclosure has been made in view of the above points, and provides a captured image display device and a captured image display method that allow a driver to recognize a detection result of a moving object regardless of a driver's condition. The purpose is to do.
 本開示の第1態様による撮影画像表示装置は、移動体検出部、指標値検出部、覚醒度検出部、表示態様決定部と表示制御部を備える。移動体検出部は、車載カメラで撮影した撮影画像に移動体が存在する場合、撮影画像から少なくとも一つの移動体を検出する。指標検出部は、前記検出した各移動体について、運転者による認識のし易さに関する指標値を検出する。覚醒度検出部は、前記運転者の覚醒度を検出する。表示態様決定部は、各移動体の指標値と前記覚醒度とに基づいて、各移動体を強調して表示する強調表示態様を決定する。表示制御部は、各移動体の強調表示態様に基づいて、各移動体が前記撮影画像において強調して表示された画像を生成して表示画面に表示する。 The captured image display device according to the first aspect of the present disclosure includes a moving object detection unit, an index value detection unit, a wakefulness detection unit, a display mode determination unit, and a display control unit. The moving body detection unit detects at least one moving body from the captured image when the moving body is present in the captured image captured by the in-vehicle camera. The index detection unit detects an index value related to ease of recognition by the driver for each detected moving body. The awakening level detection unit detects the driver's awakening level. The display mode determination unit determines a highlighted display mode for highlighting and displaying each mobile body based on the index value of each mobile body and the arousal level. A display control part produces | generates the image which each moving body emphasized in the said picked-up image based on the emphasis display aspect of each moving body, and displays it on a display screen.
 上記撮影画像表示装置によると、運転者のコンディションによらず、移動体の検出結果を運転者に認識させることが可能である。 According to the above-mentioned photographed image display device, it is possible to make the driver recognize the detection result of the moving body regardless of the driver's condition.
 本開示の第2態様による撮影画像表示方法は、車載カメラで撮影した撮影画像から少なくとも一つの移動体を検出し、前記検出した各移動体について、運転者による認識のし易さに関する指標値を検出し、前記運転者の覚醒度を検出し、各移動体の指標値と前記覚醒度とに基づいて、各移動体を強調して表示する強調表示態様を決定し、各移動体の強調表示態様に基づいて、各移動体が前記撮影画像において強調して表示された画像を生成して表示画面に表示することを備える。 The captured image display method according to the second aspect of the present disclosure detects at least one moving object from a captured image captured by an in-vehicle camera, and sets an index value related to the ease of recognition by the driver for each detected moving object. Detecting, detecting the driver's arousal level, determining an emphasis display mode for emphasizing and displaying each mobile unit based on the index value of each mobile unit and the arousal level, and highlighting each mobile unit Each moving body may generate an image displayed in an emphasized manner in the captured image and display the image on a display screen based on an aspect.
 上記方法によると、運転者のコンディションによらず、移動体の検出結果を運転者に認識させることが可能である。 According to the above method, it is possible to make the driver recognize the detection result of the moving object regardless of the driver's condition.
 本開示についての上記目的およびその他の目的、特徴や利点は、添付の図面を参照しながら下記の詳細な記述により、より明確になる。その図面は、
図1は、本開示の一実施形態による撮影画像表示装置を搭載した車両の説明図であり、 図2は、撮影画像表示装置のブロック図であり、 図3は、本実施例の撮影画像表示処理の前半部分のフローチャートであり、 図4は、本実施例の撮影画像表示処理の後半部分のフローチャートであり、 図5は、車載カメラから取得した撮影画像を例示した説明図であり、 図6(a)から図6(d)は、移動体の大きさおよびコントラストを検出する方法を示す説明図であり、 図7は、移動体の大きさおよびコントラストに応じて認識容易度を決定する方法についての説明図であり、 図8(a)と図8(b)は、移動体の認識容易度を運転者の覚醒度に応じて修正する方法についての説明図であり、 図9(a)と図9(b)は、運転者の覚醒度によって認識困難な範囲が変化する様子を例示した説明図であり、 図10は、覚醒度によって修正した認識容易度に応じて強調表示態様を決定する方法を示す説明図であり、 図11(a)と図11(b)は、は移動体のコントラストを強調して表示する方法を例示した説明図であり、 図12(a)と図12(b)は、移動体のコントラストを強調して表示する他の方法を例示した説明図であり、 図13(a)と図13(b)は、移動体の大きさを拡大して表示する方法を例示した説明図であり、 図14(a)と図14(b)は、移動体をシンボル画像に差し替えて表示する方法を例示した説明図であり、 図15は、移動体が強調表示された状態で表示モニターに表示された撮影画像を例示した説明図であり、 図16は、変形例の撮影画像表示処理で移動体の強調表示態様を決定する方法を概念的に示した説明図である。
The above and other objects, features and advantages of the present disclosure will become more apparent from the following detailed description with reference to the accompanying drawings. The drawing
FIG. 1 is an explanatory diagram of a vehicle equipped with a captured image display device according to an embodiment of the present disclosure. FIG. 2 is a block diagram of the captured image display device. FIG. 3 is a flowchart of the first half of the captured image display process of the present embodiment. FIG. 4 is a flowchart of the latter half of the captured image display process of the present embodiment. FIG. 5 is an explanatory diagram illustrating a captured image acquired from the in-vehicle camera. 6 (a) to 6 (d) are explanatory diagrams showing a method for detecting the size and contrast of the moving object, FIG. 7 is an explanatory diagram of a method of determining the recognition ease according to the size and contrast of the moving object. FIG. 8A and FIG. 8B are explanatory diagrams of a method for correcting the degree of ease of recognition of a moving object according to the driver's arousal level. FIG. 9A and FIG. 9B are explanatory diagrams illustrating the manner in which the range that is difficult to recognize changes depending on the driver's arousal level, FIG. 10 is an explanatory diagram illustrating a method of determining a highlight mode according to the recognition ease corrected by the arousal level, FIG. 11A and FIG. 11B are explanatory diagrams illustrating a method for displaying a moving object with enhanced contrast. FIG. 12A and FIG. 12B are explanatory views illustrating another method of displaying the contrast of the moving object with emphasis, FIG. 13A and FIG. 13B are explanatory diagrams illustrating a method of displaying a moving body with an enlarged size, FIG. 14A and FIG. 14B are explanatory diagrams illustrating a method of displaying a moving object by replacing it with a symbol image. FIG. 15 is an explanatory diagram illustrating a captured image displayed on the display monitor in a state where the moving object is highlighted, FIG. 16 is an explanatory diagram conceptually showing a method for determining the highlighted display mode of the moving object in the captured image display processing of the modified example.
 以下では、上述した本開示の内容を明確にするために図面を参照して実施例について説明する。 Hereinafter, embodiments will be described with reference to the drawings in order to clarify the contents of the present disclosure described above.
 図1には、本実施例の撮影画像表示装置100を搭載した車両1の大まかな構成が示されている。図示されているように本実施例の撮影画像表示装置100は、車両1の進行方向(あるいは周囲)の画像を撮影する車載カメラ10や、車載カメラ10で撮影した画像(撮影画像)を表示する表示画面である表示モニター14、車両1の運転者の顔画像を撮影するドライバーカメラ12などと共に、車両1に搭載されている。 FIG. 1 shows a rough configuration of a vehicle 1 on which the captured image display device 100 of the present embodiment is mounted. As shown in the drawing, the captured image display device 100 of the present embodiment displays an in-vehicle camera 10 that captures an image in the traveling direction (or surroundings) of the vehicle 1 and an image (captured image) captured by the in-vehicle camera 10. It is mounted on the vehicle 1 together with a display monitor 14 that is a display screen, a driver camera 12 that captures a face image of the driver of the vehicle 1, and the like.
 撮影画像表示装置100は、車載カメラ10で撮影した撮影画像を受け取り、撮影画像に移動体が存在する場合、撮影画像中の移動体(たとえば歩行者や車両)を検出し、それら移動体を運転者が認識しやすいように強調表示された状態で、撮影画像を表示モニター14に表示する。また、移動体の強調表示態様を決定するに際しては、ドライバーカメラ12で撮影した顔画像から運転者の覚醒度を検出して、覚醒度も考慮して強調表示する態様を決定する。 The captured image display device 100 receives a captured image captured by the in-vehicle camera 10, detects a moving body (for example, a pedestrian or a vehicle) in the captured image and drives the moving body when the captured image includes a moving body. The captured image is displayed on the display monitor 14 in a state of being highlighted so as to be easily recognized by a person. Further, when determining the highlighting mode of the moving object, the driver's arousal level is detected from the face image captured by the driver camera 12, and the mode of highlighting is determined in consideration of the awakening level.
 図2には、上述した機能を司る撮影画像表示装置(IMG DISP APPA)100の内部構成が示されている。図示されるように撮影画像表示装置100は、車載カメラ(IN-V CAMERA)10、ドライバーカメラ(DRIVER CAMERA)12、表示モニター(DISP MONITOR)14に接続されており、画像記憶部(IMG STORE)102や、移動体検出部(MOVE OBJ DETC)104、指標値検出部(INDEX DETC)106、覚醒度検出部(WAKE LV DETC)108、表示態様決定部(DISP MODE DECIDE)110、表示画像生成部(DISP IMG GENERATE)112、シンボル画像記憶部(SYMBOL IMG STORE)114が設けられている。 FIG. 2 shows an internal configuration of a photographed image display device (IMG DISP APPA) 100 that controls the above-described functions. As shown in the figure, the captured image display device 100 is connected to an in-vehicle camera (IN-V CAMERA) 10, a driver camera (DRIVER CAMERA) 12, a display monitor (DISP MONITOR) 14, and an image storage unit (IMG STORE). 102, moving object detection unit (MOVE OBJ DETC) 104, index value detection unit (INDEX DETC) 106, arousal level detection unit (WAKE LV DETC) 108, display mode determination unit (DISP MODE DECIDE) 110, display image generation unit (DISP IMG GENERATE) 112 and symbol image storage unit (SYMBOL IMG STORE) 114 are provided.
 尚、これら7つの「部」は、撮影画像表示装置100を機能に着目して便宜的に分類したものであり、撮影画像表示装置100の内部が物理的に7つの部分に区分されている必要はない。また、これら7つの「部」のうち、画像記憶部102およびシンボル画像記憶部114は図示しないメモリーによって実現されるが、その他の5つの「部」については、論理回路あるいはCPUなどを用いてハードウェア的に実現することもできるし、コンピュータープログラムあるいはプログラムの一部としてソフトウェア的に実現することもできる。 Note that these seven “parts” are those for which the captured image display device 100 is classified for the sake of convenience, and the inside of the captured image display device 100 needs to be physically divided into seven parts. There is no. Of these seven “units”, the image storage unit 102 and the symbol image storage unit 114 are realized by a memory (not shown), but the other five “units” are hardware using a logic circuit or a CPU. It can be realized as hardware, or can be realized as software as a computer program or a part of the program.
 画像記憶部102は、車載カメラ10から撮影画像を受け取ってメモリーに記憶する。 The image storage unit 102 receives the captured image from the in-vehicle camera 10 and stores it in the memory.
 移動体検出部104は、画像記憶部102に記憶されている撮影画像を読み出して、撮影画像に歩行者などの移動体が写っている場合、撮影画像から移動体を検出する。移動体の検出には、パターンマッチングを利用する方法など周知な種々の方法を用いることができる。 The moving body detection unit 104 reads the captured image stored in the image storage unit 102, and detects a moving body from the captured image when a moving body such as a pedestrian is reflected in the captured image. Various known methods such as a method using pattern matching can be used for detecting the moving object.
 指標値検出部106は、移動体検出部104で検出された移動体の各々について、運転者にとっての認識し易さを示す指標値(認識容易度)を検出する。認識容易度については後ほど詳しく説明する。 The index value detection unit 106 detects an index value (recognition level) indicating the ease of recognition for the driver for each of the mobile bodies detected by the mobile body detection unit 104. The ease of recognition will be described in detail later.
 覚醒度検出部108は、ドライバーカメラ12で撮影した運転者の顔画像を解析して、運転者の覚醒度を検出する。顔画像から覚醒度を検出する際には、運転者が視線を動かす頻度や、瞬きする頻度、瞬きする際のまぶたの速度に基づいて覚醒度を検出するなど、周知の方法を用いることができる。尚、ドライバーカメラ12で撮影した顔画像に限らず、たとえば運転座席に圧力センサーを内蔵して運転者の心拍数や呼吸を計測することによって覚醒度を検出しても良い。 The arousal level detection unit 108 analyzes the driver's face image taken by the driver camera 12 and detects the driver's arousal level. When detecting the arousal level from the face image, a well-known method can be used, such as detecting the arousal level based on the frequency with which the driver moves his / her line of sight, the frequency of blinking, and the speed of the eyelid when blinking. . Note that the degree of arousal may be detected by measuring the driver's heart rate and breathing by incorporating a pressure sensor in the driver's seat, for example, without being limited to the face image photographed by the driver camera 12.
 表示態様決定部110は、指標値検出部106で検出した指標値(認識容易度)と覚醒度検出部108で検出した覚醒度とに基づいて、移動体を強調表示する態様を移動体毎に決定する。また、本実施例では、移動体を強調表示する態様の1つとして、移動体の画像を、移動体に対応したシンボル画像に差し替えて表示する態様も設定されている。尚、「移動体に対応したシンボル画像」とは、たとえば移動体が歩行者であれば人間の形状を単純化した図形の画像であり、移動体が動物であれば動物の形状や顔を単純化した図形の画像である。これらシンボル画像は、シンボル画像記憶部114に予め記憶されている。 The display mode determination unit 110 displays a mode for highlighting the moving body for each moving body based on the index value (recognition level) detected by the index value detection unit 106 and the arousal level detected by the arousal level detection unit 108. decide. Further, in this embodiment, as one mode for highlighting the moving body, a mode is also set in which the image of the moving body is replaced with a symbol image corresponding to the moving body and displayed. The “symbol image corresponding to the moving object” is, for example, a graphic image obtained by simplifying the shape of a human if the moving object is a pedestrian, and the animal shape and face are simplified if the moving object is an animal. It is an image of a figure that has become These symbol images are stored in advance in the symbol image storage unit 114.
 そして、表示画像生成部112は、画像記憶部102に記憶された撮影画像を読み出すと、移動体検出部104で検出された移動体が、表示態様決定部110で決定された強調表示態様で強調表示された画像を生成して、表示モニター14に出力する。 Then, when the display image generation unit 112 reads the captured image stored in the image storage unit 102, the moving body detected by the moving body detection unit 104 is highlighted in the highlighted display mode determined by the display mode determination unit 110. The displayed image is generated and output to the display monitor 14.
 このように、撮影画像から検出された移動体毎に、移動体の認識容易度および運転者の覚醒度を考慮した態様で移動体を強調表示して表示モニター14に表示してやれば、運転者のコンディションによらずに、移動体の検出結果を運転者に認識させて、適切な運転支援を実現することが可能となる。以下では、こうしたことを実現するために撮影画像表示装置100の内部で行われる処理について詳しく説明する。 In this way, for each moving body detected from the captured image, if the moving body is highlighted and displayed on the display monitor 14 in a manner that considers the ease of recognition of the moving body and the driver's arousal level, Regardless of the condition, it is possible to cause the driver to recognize the detection result of the moving body and to realize appropriate driving support. In the following, a process performed inside the captured image display device 100 in order to realize this will be described in detail.
 尚、本実施例では、移動体検出部104が本開示における「移動体検出手段」に対応し、指標値検出部106が本開示の「指標値検出手段」に対応し、覚醒度検出部108が本開示の「覚醒度検出手段」に、表示態様決定部110が本開示の「表示態様決定手段」に、シンボル画像記憶部114が本開示の「シンボル画像記憶手段」にそれぞれ対応する。また、表示モニター14は表示画像生成部112から出力される画像データに従って撮影画像を表示しているに過ぎないから、実際には表示画像生成部112が表示モニター14を制御して撮影画像を表示していると考えることができる。従って、本実施例の表示画像生成部112は、表示制御部112とも称し、本開示の「表示制御手段」に対応している。 In this embodiment, the moving body detection unit 104 corresponds to the “moving body detection unit” in the present disclosure, the index value detection unit 106 corresponds to the “index value detection unit” in the present disclosure, and the arousal level detection unit 108. Corresponds to the “wakefulness detection unit” of the present disclosure, the display mode determination unit 110 corresponds to the “display mode determination unit” of the present disclosure, and the symbol image storage unit 114 corresponds to the “symbol image storage unit” of the present disclosure. Further, since the display monitor 14 merely displays the captured image according to the image data output from the display image generation unit 112, the display image generation unit 112 actually controls the display monitor 14 to display the captured image. You can think that you are. Therefore, the display image generation unit 112 of this embodiment is also referred to as a display control unit 112 and corresponds to the “display control unit” of the present disclosure.
 図3および図4には、撮影画像表示装置100が実行する本実施例の撮影画像表示処理のフローチャートが示されている。尚、この処理は、車載カメラ10が画像を撮影する動きに同期させて、1秒間に30回程度の一定周期で実行される処理である。 3 and 4 show a flowchart of the captured image display process of the present embodiment executed by the captured image display apparatus 100. FIG. This process is a process executed at a constant cycle of about 30 times per second in synchronization with the movement of the in-vehicle camera 10 to capture an image.
 本実施例の撮影画像表示処理を開始すると、先ず始めに、撮影画像表示装置100中の画像記憶部102が車載カメラ10から出力された撮影画像を記憶する(S100)。 When the captured image display process of the present embodiment is started, first, the image storage unit 102 in the captured image display device 100 stores the captured image output from the in-vehicle camera 10 (S100).
 続いて、撮影画像に移動体が存在する場合、撮影画像表示装置100中の移動体検出部104が撮影画像を解析することによって、撮影画像中の移動体(歩行者や、車両、動物など)を検出する(S102)。撮影画像中の移動体は次のようにして検出する。 Subsequently, when a moving object is present in the captured image, the moving object detection unit 104 in the captured image display device 100 analyzes the captured image, thereby moving the moving object (pedestrian, vehicle, animal, etc.) in the captured image. Is detected (S102). The moving body in the captured image is detected as follows.
 先ず、画像中で歩行者が写った部分の代表的な輝度の変化パターンを予め記憶しておく。同様に、車両や動物などについても、画像中でそれらが写った部分の代表的な変化パターンを記憶しておく。そして、撮影画像中で、これら代表的な変化パターンに近いパターンで輝度が変化している部分を探索する。たとえば、撮影画像中のある部分が、歩行者の変化パターンに近かったとすると、その部分には歩行者が写っているものと判断することができる。同様に、車両の変化パターンに近ければ、車両が写っていると判断することができ、動物の変化パターンに近ければ動物が写っていると判断することができる。 First, a typical luminance change pattern of a portion where a pedestrian is shown in the image is stored in advance. Similarly, a typical change pattern of a portion in which an image of a vehicle or an animal is captured is stored. Then, a portion where the luminance is changed in a pattern close to these typical change patterns is searched for in the captured image. For example, if a certain part in the photographed image is close to the pedestrian change pattern, it can be determined that a pedestrian is shown in that part. Similarly, if it is close to the change pattern of the vehicle, it can be determined that the vehicle is shown, and if it is close to the change pattern of the animal, it can be determined that the animal is shown.
 また、当然ながら、遠くの移動体は小さく写り、近くの移動体は大きく写るから、撮影画像に写った移動体の大きさも一様ではない。そこで、移動体の変化パターンについても様々な大きさのパターン(但し、形状は互いに相似)を用意しておき、それら複数の変化パターンを用いて撮影画像を探索する。こうすることで、撮影画像に移動体が存在する場合、撮影画像中で大きく写った移動体から小さく写った移動体まで、様々な大きさの移動体を検出することができる。 Of course, since a distant moving object appears small and a nearby moving object appears large, the size of the moving object shown in the photographed image is not uniform. Accordingly, patterns of various sizes (however, the shapes are similar to each other) are prepared for the change pattern of the moving body, and a photographed image is searched using the plurality of change patterns. In this way, when a moving body exists in the captured image, it is possible to detect moving bodies of various sizes from a moving body that appears large in the captured image to a moving body that appears small.
 尚、上述したように、歩行者用、車両用、動物用など、何れの変化パターンを用いるかによって、検出される移動体の類別(歩行者、車両、動物など)が切り換わる。従って、予め多種類の変化パターンを記憶しておけば、より多くの類別の移動体を検出することが可能となる。また、検出した移動体の類別は、何れの類別の変化パターンを用いたかによって判断することができる。 Note that, as described above, the type of moving body (pedestrian, vehicle, animal, etc.) to be detected changes depending on which change pattern is used, such as for pedestrians, vehicles, and animals. Therefore, if various types of change patterns are stored in advance, it is possible to detect more types of moving bodies. Moreover, the classification of the detected moving body can be determined depending on which classification change pattern is used.
 図5には、撮影画像に移動体が存在する場合、撮影画像中から移動体が検出された例が示されている。図示した例では、歩行者の画像A~Eと、車両の画像Fとが検出されている。尚、図中で歩行者や車両を矩形で囲った破線の枠は、その移動体が検出された時の変化パターンの位置を表している。すなわち、上述したように移動体を検出する際には、様々な大きさの変化パターンを撮影画像中で少しずつ移動させながら、撮影画像中の輝度が変化パターンと同じように変化する部分を探索している。従って、図中で歩行者の画像Aを囲う破線の矩形は、その大きさの歩行者用の変化パターンをその位置に置いたときに、撮影画像中の輝度が変化パターンと同じように変化していることを表している。歩行者の画像B~Eを囲う破線の矩形についても同様である。尚、歩行者用の変化パターンは、大きさが異なっていても形状は互いに相似であるから、歩行者の画像A~Eを囲う破線の矩形は互いに相似な形状となっている。 FIG. 5 shows an example in which a moving body is detected from a captured image when a moving body is present in the captured image. In the illustrated example, pedestrian images A to E and a vehicle image F are detected. In the figure, a dashed frame surrounding a pedestrian or vehicle in a rectangle represents the position of the change pattern when the moving body is detected. In other words, as described above, when detecting a moving body, a change pattern of various sizes is moved little by little in the captured image, and a portion where the luminance in the captured image changes in the same manner as the change pattern is searched. is doing. Accordingly, the broken-line rectangle surrounding the pedestrian image A in the figure changes the luminance in the captured image in the same manner as the change pattern when the pedestrian change pattern of that size is placed at that position. It represents that. The same applies to the broken-line rectangles surrounding the pedestrian images B to E. Note that the change patterns for pedestrians are similar in shape even if they are different in size, so that the broken-line rectangles surrounding the pedestrian images A to E are similar to each other.
 また、以上の内容は、車両の画像Fについても全く同様に当て嵌まる。すなわち、車両の画像Fを囲う破線の矩形は、その大きさの車両用の変化パターンをその位置に置いたときに、撮影画像中の輝度が変化パターンと同じように変化していることを表している。 Also, the above description applies to the image F of the vehicle in exactly the same manner. That is, a broken-line rectangle surrounding the vehicle image F indicates that the luminance in the captured image changes in the same manner as the change pattern when the change pattern for the vehicle of that size is placed at that position. ing.
 こうして撮影画像中の移動体を検出したら、それら移動体の大きさおよびコントラストを検出して、移動体毎に、運転者にとっての認識のし易さを示す指標値(認識容易度)を決定する(S104)。 When moving bodies in the captured image are detected in this way, the size and contrast of the moving bodies are detected, and an index value (recognition ease) indicating ease of recognition for the driver is determined for each moving body. (S104).
 図6(a)から図6(d)には、撮影画像中から検出された移動体の大きさおよびコントラストを検出する例が示されている。一例として、前述した歩行者の画像Aを用いて説明すると、歩行者の大きさは、その歩行者を検出した変化パターン(破線の矩形)の対角線の長さで代表させる(図6(a)参照)。対角線の長さを用いれば、歩行者のように縦長の変化パターンを用いた場合と、車両のように横長の変化パターンを用いた場合とを区別することなく、移動体の大きさを表すことができる。 FIGS. 6A to 6D show examples of detecting the size and contrast of a moving body detected from a captured image. As an example, if it demonstrates using the image A of the pedestrian mentioned above, the magnitude | size of a pedestrian will be represented by the length of the diagonal line of the change pattern (dashed rectangle) which detected the pedestrian (FIG. 6 (a)). reference). If the length of the diagonal line is used, the size of the moving object can be expressed without distinguishing between the case of using a vertically long change pattern like a pedestrian and the case of using a horizontally long change pattern like a vehicle. Can do.
 また、コントラストについては、歩行者の画像Aに対してエッジを検出するなどによって画像Aに写った歩行者の輪郭を検出し(図6(b)中の一点鎖線)、輪郭の内側の部分(移動体部分)での平均輝度を算出する(図6(c)参照)。更に、輪郭の外側の部分(背景部分)での平均輝度も算出する(図6(d)参照)。そして、輪郭の内側(移動体部分)と輪郭の外側(背景部分)との平均輝度の差を、移動体のコントラストとして検出することができる。もちろん、他の周知な方法を用いてコントラストを検出しても良い。 As for contrast, the contour of the pedestrian shown in the image A is detected by detecting an edge with respect to the image A of the pedestrian (dotted line in FIG. 6B), and the portion inside the contour ( The average luminance at the moving body part) is calculated (see FIG. 6C). Further, the average luminance in the portion outside the contour (background portion) is also calculated (see FIG. 6D). The difference in average luminance between the inside of the contour (moving body portion) and the outside of the contour (background portion) can be detected as the contrast of the moving body. Of course, the contrast may be detected using other known methods.
 こうして移動体の大きさおよびコントラストが分かれば、移動体の認識容易度(運転者にとってその移動体がどの程度認識し易いか)を決定することができる。たとえば、移動体の大きさについては、移動体が大きくなるほど運転者は容易に認識することが可能となる。また、移動体のコントラストについては、コントラストが低くなると移動体と背景との区別が付き難くなるので、運転者が認識することが困難となる。従って、移動体のコントラストが高くなるほど、運転者は容易に認識することができる。 Thus, if the size and contrast of the moving body are known, the degree of ease of recognition of the moving body (how easily the moving body can be recognized by the driver) can be determined. For example, the driver can easily recognize the size of the moving body as the moving body becomes larger. Further, regarding the contrast of the moving body, it becomes difficult for the driver to recognize the contrast because the contrast between the moving body and the background becomes difficult to distinguish. Therefore, the driver can easily recognize the higher the contrast of the moving body.
 もっとも、移動体の大きさがあまりに小さい場合には、コントラストが高くても運転者は容易に認識することができない。これに対して、コントラストが低くても、移動体が十分に大きければ、運転者は移動体を比較的容易に認識することができる。 However, if the size of the moving body is too small, the driver cannot easily recognize even if the contrast is high. On the other hand, even if the contrast is low, if the moving body is sufficiently large, the driver can recognize the moving body relatively easily.
 図7には、様々な大きさおよびコントラストを有する移動体についての認識し易さ(認識容易度)を、実験的な手法によって求めた結果が示されている。このようなデータを求めておけば、移動体について検出した大きさおよびコントラストから、移動体の認識容易度を決定することができる。図7において、移動体の大きさは、矢印方向に沿って大きくなり、移動体のコントラストは、矢印方向に沿って高くなり、認識容易度は、矢印方向に沿って高く、即ち認識しやすくなる。 FIG. 7 shows results obtained by experimentally determining the ease of recognition (recognition level) for moving bodies having various sizes and contrasts. If such data is obtained, it is possible to determine the ease of recognition of the moving object from the size and contrast detected for the moving object. In FIG. 7, the size of the moving body increases along the arrow direction, the contrast of the moving body increases along the arrow direction, and the recognition degree is high along the arrow direction, that is, the recognition becomes easy. .
 図5の撮影画像を例に用いて説明すれば、図中で「A」と表示した箇所の歩行者は、十分な大きさがあり且つコントラストも高いので、運転者が容易に認識することが可能であり、認識容易度は大きくなる。また、図中で「F」と表示した箇所の車両は、大きさは十分であるがコントラストが低いので、認識容易度は少し小さくなる。図中で「B」あるいは「E」と示した箇所の歩行者は、大きさも十分には大きくはなく且つコントラストも低いので、認識容易度は更に小さくなる。また、図中で「D」と表示した箇所の歩行者は、コントラストは高いが大きさが小さいので運転者が容易には認識することができず、認識容易度は小さくなる。更に、図中で「C」と表示した箇所の歩行者は、大きさもたいへんに小さく且つコントラストも低いので、認識容易度はたいへん小さくなる。 If it demonstrates using the picked-up image of FIG. 5 as an example, since the pedestrian of the location which displayed "A" in the figure has sufficient size and contrast is high, a driver | operator can recognize easily. This is possible, and the degree of recognition is increased. In addition, the vehicle at the location indicated as “F” in the figure is sufficiently large but has a low contrast, so that the ease of recognition is slightly reduced. In the figure, the pedestrians indicated by “B” or “E” are not sufficiently large in size and low in contrast, so that the degree of recognition is further reduced. In addition, the pedestrian at the location indicated by “D” in the figure has a high contrast but a small size, so the driver cannot easily recognize it, and the degree of recognition becomes small. Furthermore, since the pedestrian at the location indicated by “C” in the drawing is very small in size and low in contrast, the degree of recognition is very small.
 撮影画像表示装置100の図示しないメモリーには図7に示すようなデータが予め記憶されている。そして指標値検出部106は、移動体検出部104から移動体の大きさおよびコントラストを受け取ると、メモリーに記憶されているデータを参照することによって、移動体毎に認識容易度を決定する(図3のS104)。 7 is stored in advance in a memory (not shown) of the photographed image display apparatus 100. When the index value detection unit 106 receives the size and contrast of the moving object from the moving object detection unit 104, the index value detection unit 106 refers to the data stored in the memory to determine the recognition ease for each moving object (see FIG. 3 S104).
 続いて、撮影画像表示装置100の覚醒度検出部108は、ドライバーカメラ12で撮影した運転者の顔画像を解析することによって、運転者の覚醒度を検出する(S106)。覚醒度の検出には周知の様々な方法を適用することができる。 Subsequently, the arousal level detection unit 108 of the captured image display device 100 detects the driver's arousal level by analyzing the driver's face image captured by the driver camera 12 (S106). Various known methods can be applied to detect the degree of arousal.
 たとえば、顔画像の中から運転者の瞳を検出して、瞳の位置の動きから運転者が視線を動かす頻度を検出する。そして、運転者が頻繁に視線を動かしている場合は覚醒度が高いと判断し、視線を動かす頻度が低くなるに従って、覚醒度が低下したと判断することができる。あるいは、運転者が瞬きをする頻度、瞬きする際のまぶたの移動速度などを検出することによって、覚醒度を検出してもよい。更には、ドライバーカメラ12による顔画像を解析するのではなく、運転席に内蔵した圧力センサーを用いて運転者の呼吸や脈拍を監視することによって、覚醒度を検出することもできる。 For example, the driver's pupil is detected from the face image, and the frequency with which the driver moves the line of sight is detected from the movement of the pupil position. When the driver frequently moves his / her line of sight, it can be determined that the degree of arousal is high, and as the frequency of moving the line of sight decreases, it can be determined that the degree of arousal has decreased. Alternatively, the arousal level may be detected by detecting the frequency with which the driver blinks, the movement speed of the eyelid when blinking, and the like. Furthermore, instead of analyzing the face image by the driver camera 12, the degree of arousal can be detected by monitoring the driver's breathing and pulse using a pressure sensor built in the driver's seat.
 続いて、撮影画像に移動体が存在する場合、撮影画像中で検出された一つ又は複数の移動体の中から任意の移動体を1つ選択する(図3のS108)。そして、選択した移動体の認識容易度を、覚醒度に基づいて修正する(S110)。たとえば、十分に覚醒した状態の運転者であれば、図5の撮影画像中で「B」あるいは「E」と表示した部分の歩行者も認識することができるが、運転者の覚醒度が低下するとこれらの歩行者を認識することが困難となる。そこで、運転者の覚醒度の影響を考慮して、移動体の認識容易度を修正しておくのである。 Subsequently, when a moving body exists in the captured image, one arbitrary moving body is selected from one or a plurality of moving bodies detected in the captured image (S108 in FIG. 3). Then, the recognition ease of the selected moving object is corrected based on the arousal level (S110). For example, a driver who is sufficiently awake can recognize a pedestrian in a portion displayed as “B” or “E” in the captured image of FIG. 5, but the driver's arousal level is reduced. Then, it becomes difficult to recognize these pedestrians. Therefore, the ease of recognition of the moving object is corrected in consideration of the influence of the driver's arousal level.
 撮影画像表示装置100には、図示しないメモリーに運転者の覚醒度に応じた修正係数が予め設定されている。そして、表示態様決定部110は、指標値検出部106および覚醒度検出部108から認識容易度および覚醒度を受け取ると、覚醒度に対応する修正係数を読み出して認識容易度に乗算することによって、修正された認識容易度を算出する。 In the captured image display device 100, a correction coefficient corresponding to the driver's arousal level is set in advance in a memory (not shown). Then, when the display mode determination unit 110 receives the recognition ease and the arousal level from the index value detection unit 106 and the arousal level detection unit 108, the display mode determination unit 110 reads the correction coefficient corresponding to the arousal level and multiplies the recognition level by the correction coefficient. The corrected recognition degree is calculated.
 図8(a)には、運転者の覚醒度に応じて修正係数が予め設定されている例が示されている。図示した例では、覚醒度が6段階で求められるようになっており、覚醒度5(完全に覚醒した状態)に対しては修正係数1.0が設定されている。また、覚醒度が低くなるに従って、修正係数も小さくなる。 FIG. 8 (a) shows an example in which a correction coefficient is set in advance according to the driver's arousal level. In the illustrated example, the arousal level is obtained in six stages, and a correction coefficient of 1.0 is set for the arousal level of 5 (completely awakened state). Also, the correction coefficient decreases as the awakening level decreases.
 また、図8(b)には、移動体の大きさおよびコントラストによって決まる認識容易度が、覚醒度に応じて修正される例が概念的に示されている。 FIG. 8B conceptually shows an example in which the recognition ease determined by the size and contrast of the moving object is modified according to the arousal level.
 以上のようにして、覚醒度を考慮して修正した認識容易度が得られたら、その認識容易度が所定の許容値以上か否かを判断する(図4のS112)。その結果、認識容易度が許容値に満たない移動体については、そのまま表示モニター14に表示しても運転者が十分に認識できないことが予想される。 As described above, when the recognition ease corrected in consideration of the arousal level is obtained, it is determined whether or not the recognition ease is equal to or greater than a predetermined allowable value (S112 in FIG. 4). As a result, it is expected that the driver cannot sufficiently recognize the moving body whose recognition ease is less than the allowable value even if it is displayed on the display monitor 14 as it is.
 たとえば、図9(a)には運転者の覚醒度が十分に高い場合での、移動体の大きさおよびコントラストに対する認識容易度が示されているが、認識容易度が許容値以下の領域(図中に斜線を伏して示した領域)にある移動体については、車載カメラ10で撮影した画像をそのまま表示モニター14に表示しても運転者が認識できないことが予想される。また、図9(b)には運転者の覚醒度が低下した場合での、移動体の大きさおよびコントラストに対する認識容易度が示されているが、覚醒度が低下すると認識容易度が低めに修正されるので、認識容易度が許容値以下の領域(そのまま表示モニター14に表示しても運転者が認識できないことが予想される領域)が広くなる。図9(a)と図9(b)において、移動体の大きさは、矢印方向に沿って大きくなり、移動体のコントラストは、矢印方向に沿って高くなり、認識容易度は、矢印方向に沿って高く、即ち認識しやすくなる。 For example, FIG. 9A shows the degree of ease of recognition for the size and contrast of the moving object when the driver's arousal level is sufficiently high. It is expected that the driver cannot recognize the moving body in the area (indicated by slanted lines in the figure) even if the image captured by the in-vehicle camera 10 is displayed on the display monitor 14 as it is. FIG. 9B shows the degree of ease of recognition for the size and contrast of the moving body when the driver's arousal level is lowered. Since the correction is made, the area where the recognition ease is less than or equal to the allowable value (the area where the driver cannot be recognized even if displayed on the display monitor 14 as it is) becomes wider. 9 (a) and 9 (b), the size of the moving body increases along the direction of the arrow, the contrast of the moving body increases along the direction of the arrow, and the ease of recognition is increased in the direction of the arrow. It becomes high along the line, that is, it becomes easy to recognize.
 そこで、撮影画像表示装置100の表示態様決定部110は、修正された認識容易度を許容値と比較して許容値に満たなかった場合は(S112:NO)、修正後の認識容易度に応じて強調表示態様を決定する(図4のS114)。 Therefore, the display mode determination unit 110 of the photographed image display device 100 compares the corrected recognition ease with the allowable value and does not satisfy the allowable value (S112: NO), depending on the corrected easy recognition level. The highlighted display mode is determined (S114 in FIG. 4).
 図10には、修正後の認識容易度に応じた強調表示態様が例示されている。 FIG. 10 exemplifies a highlight mode according to the degree of easy recognition after correction.
 たとえば、修正後の認識容易度が許容値に少しだけ満たなかった場合(すなわち、許容値よりは小さいが、第1閾値以上であった場合)は、検出された移動体を枠で囲うことによって強調表示する。尚、第1閾値は許容値よりも小さな値に設定されている。また、移動体を囲う枠は、移動体を検出するために用いた変化パターン(図5、図6(a)から図6(d)参照)の大きさとすることができる。 For example, when the degree of ease of recognition after correction does not satisfy the permissible value only slightly (that is, smaller than the permissible value but greater than or equal to the first threshold), the detected moving body is surrounded by a frame. Highlight. The first threshold value is set to a value smaller than the allowable value. In addition, the frame surrounding the moving body can be the size of the change pattern (see FIGS. 5 and 6A to 6D) used to detect the moving body.
 運転者の覚醒度を考慮して修正した認識容易度が許容値に少し満たない程度の移動体であれば、移動体を枠で囲って表示するだけで、運転者は移動体を確実に認識することが可能となる。 If the moving object has a degree of ease of recognition that has been corrected in consideration of the driver's arousal level and is slightly less than the permissible value, the driver can reliably recognize the moving object simply by surrounding the moving object with a frame. It becomes possible to do.
 また、運転者の覚醒度を考慮して修正した認識容易度がより小さい移動体(第1閾値には満たないが第2閾値以上の移動体)については、移動体を枠で囲うと共に、コントラストを強調して表示する。尚、第2閾値は第1閾値よりも小さな値に設定されている。このような移動体については、移動体を枠で囲って表示することに加えて、コントラストも強調して表示することで、運転者が移動体を確実に認識することが可能となる。移動体のコントラストを強調する方法については後述する。 In addition, for a moving body (moving body that is less than the first threshold value but greater than or equal to the second threshold value) that has been corrected in consideration of the driver's arousal level, the moving body is surrounded by a frame and contrast is increased. Is highlighted. The second threshold value is set to a value smaller than the first threshold value. For such a moving body, in addition to displaying the moving body surrounded by a frame, the contrast is also displayed with emphasis, so that the driver can surely recognize the moving body. A method for enhancing the contrast of the moving object will be described later.
 覚醒度を考慮して修正した認識容易度が、更に小さい移動体(第2閾値には満たないが、第3閾値以上の移動体)については、移動体を枠で囲うと共に、コントラストを強調し、更に移動体の画像を拡大して表示する。尚、第3閾値は第2閾値よりも小さな値に設定されている。こうすれば、枠で囲って、且つコントラストを強調しただけでは運転者が確実に認識できない移動体であっても、確実に認識することが可能となる。移動体の画像を拡大して表示する方法については後述する。 For mobile objects that have a smaller level of recognition that has been corrected in consideration of the degree of arousal (moving objects that are less than the second threshold, but greater than or equal to the third threshold), the mobile object is surrounded by a frame and contrast is enhanced. Further, the image of the moving object is enlarged and displayed. The third threshold value is set to a value smaller than the second threshold value. In this way, it is possible to reliably recognize even a moving body that cannot be reliably recognized by the driver simply by enclosing the frame and enhancing the contrast. A method of enlarging and displaying the moving object image will be described later.
 覚醒度を考慮して修正した認識容易度が、より一層小さい移動体(第3閾値にも満たない移動体)については、車載カメラ10で撮影した移動体の画像を、移動体の類別に対応するシンボル画像に差し替えて表示する。たとえば、移動体が歩行者の画像であれば、人間を表す単純な図形(シンボル画像)に差し替えて表示する。また、移動体が動物であれば動物を表す単純な図形(シンボル画像)に差し替えて表示する。シンボル画像は単純で分かり易い図形が設定されているので、小さく表示されていても運転者が容易に認識することができる。シンボル画像についても後ほど詳しく説明する。 For moving objects that have a smaller recognition level that has been corrected in consideration of the arousal level (moving objects that do not satisfy the third threshold), images of moving objects taken with the in-vehicle camera 10 are classified according to the type of moving object. The symbol image to be replaced is displayed. For example, if the moving body is an image of a pedestrian, it is replaced with a simple figure (symbol image) representing a person and displayed. If the moving body is an animal, it is displayed by replacing it with a simple figure (symbol image) representing the animal. Since the symbol image is set to a simple and easy-to-understand graphic, the driver can easily recognize it even if it is displayed in a small size. The symbol image will be described in detail later.
 以上のように、撮影画像表示装置100の表示態様決定部110は、選択した移動体の認識容易度を覚醒度に応じて修正した値が、許容値に満たなかった場合には(図4のS112:NO)、その移動体を表示モニター14に表示する際の強調表示態様を、修正後の認識容易度に応じて決定する(S114)。 As described above, the display mode determination unit 110 of the captured image display apparatus 100 determines that the value of the ease of recognition of the selected moving object corrected according to the arousal level is less than the allowable value (see FIG. 4). (S112: NO), an emphasis display mode when the moving body is displayed on the display monitor 14 is determined according to the corrected recognition ease (S114).
 続いて、撮影画像表示装置100の表示画像生成部112は、決定された態様で強調表示された移動体の画像を生成し、車載カメラ10で撮影した画像(撮影画像)に対して、生成した移動体の画像(強調表示された画像)を合成する(S116)。 Subsequently, the display image generation unit 112 of the captured image display device 100 generates an image of the moving object highlighted in the determined manner, and generates an image (captured image) captured by the in-vehicle camera 10. The moving body image (highlighted image) is synthesized (S116).
 たとえば、決定された強調表示態様が、枠で囲って表示する態様の移動体(修正後の認識容易度が第1閾値以上で許容値未満の移動体)であれば、撮影画像に対して、移動体を囲う枠の画像を合成する。 For example, if the determined highlighting mode is a moving body (a moving body having a corrected recognition degree equal to or higher than the first threshold and lower than the allowable value) in a mode of being displayed surrounded by a frame, Synthesize an image of a frame that surrounds the moving object.
 また、決定された強調表示態様が、枠で囲い、且つコントラストを強調して表示する態様の移動体(修正後の認識容易度が第2閾値以上で第1閾値未満の移動体)の場合には、次のようにして、コントラストが強調された移動体の画像を生成し、得られた画像を撮影画像に合成する。 Further, when the determined highlighted display mode is a moving body (a moving body having a corrected recognition degree equal to or higher than the second threshold value and lower than the first threshold value) that is displayed in a frame and with the contrast emphasized. Generates an image of a moving body with enhanced contrast and synthesizes the obtained image with a captured image as follows.
 図11(a)、図11(b)、図12(a)および図12(b)には、コントラストが強調された移動体の画像を生成する方法が例示されている。先ず始めに図11(a)と図11(b)に示した例を用いて説明すると、図11(a)に示した例では、暗い(輝度が低い)背景の上に少し明るい(輝度が高い)移動体(歩行者B)が写っている。 11 (a), 11 (b), 12 (a), and 12 (b) exemplify a method for generating an image of a moving body with enhanced contrast. First, the example shown in FIGS. 11 (a) and 11 (b) will be described. In the example shown in FIG. 11 (a), a little bright (brightness is shown) on a dark (low brightness) background. High) moving object (pedestrian B) is shown.
 コントラストが強調された移動体の画像を生成するに際しては、先ず、移動体を囲う枠内での輝度の度数分布を検出する。すると、得られた度数分布には、移動体の部分(図示した例では歩行者)と、背景の部分とが現れる。そこで、図11(b)に示すように、背景側を基準として移動体側の輝度を増加させる。こうすれば、枠内での輝度の階調範囲を拡大させて、移動体のコントラストを強調することができる。 When generating an image of a moving object with enhanced contrast, first, a luminance frequency distribution within a frame surrounding the moving object is detected. Then, in the obtained frequency distribution, a moving body part (pedestrian in the illustrated example) and a background part appear. Therefore, as shown in FIG. 11B, the luminance on the moving object side is increased with the background side as a reference. By so doing, it is possible to enhance the contrast of the moving object by expanding the luminance gradation range within the frame.
 尚、階調範囲を拡大する割合は、覚醒度に応じて修正した認識容易度が小さいほど大きくしてもよい。 It should be noted that the rate of expanding the gradation range may be increased as the recognition ease corrected according to the arousal level is smaller.
 また、図12(a)に示した例では、明るい(輝度が高い)背景の上に、少し暗い(輝度が低い)移動体(歩行者B)が写っている。このような場合には、図12(b)に示すように、背景側を基準として、移動体側の輝度を減少させる。こうすれば、枠内での輝度の階調範囲が拡大して、移動体のコントラストを強調することができる。 In the example shown in FIG. 12A, a slightly dark (low luminance) moving body (pedestrian B) is shown on a bright (high luminance) background. In such a case, as shown in FIG. 12B, the luminance on the moving body side is decreased with the background side as a reference. In this way, the gradation range of luminance within the frame can be expanded, and the contrast of the moving object can be enhanced.
 尚、図11(a)、図11(b)、図12(a)および図12(b)に示した方法で枠内の画像のコントラストを強調すると、コントラストが強調されていない枠の外側との境目で、輝度が不自然に変化する箇所が生じることがある。しかし、この境目の部分に枠を表示することで、輝度が不自然に変化していることを目立たなくすることができる。 When the contrast of the image in the frame is emphasized by the method shown in FIGS. 11A, 11B, 12A, and 12B, the outside of the frame in which the contrast is not enhanced. There may be a place where the luminance changes unnaturally at the boundary of. However, by displaying a frame at the border, it is possible to make the luminance unnaturally change.
 また、決定された強調表示態様が、移動体を枠で囲い、コントラストを強調し、更に画像を拡大する態様であった場合(移動体の修正後の認識容易度が第3閾値以上で第2閾値未満であった場合)には、上述した方法でコントラストを強調した移動体の画像を、更に、次のようにして拡大し、最終的に得られた移動体の画像を撮影画像に合成する。 In addition, when the determined highlight display mode is a mode in which the moving body is surrounded by a frame, the contrast is enhanced, and the image is further enlarged (the second recognition level when the moving body is corrected is greater than or equal to the third threshold). If it is less than the threshold), the image of the moving object with the contrast enhanced by the above-described method is further enlarged as follows, and the finally obtained moving object image is combined with the captured image. .
 図13(a)と図13(b)には、移動体の画像を拡大する幾つかの方法が例示されている。たとえば図13(a)に示した例では、移動体を囲う枠の範囲内で移動体の画像を拡大する。この場合、移動体の画像を拡大したことで枠内からはみ出した部分は表示されなくなる。その結果、図示した例では、歩行者の頭の上端部分や、足の先端部分が欠けた状態の画像が表示される。 13 (a) and 13 (b) illustrate several methods for enlarging a moving object image. For example, in the example shown in FIG. 13A, the image of the moving object is enlarged within the range of the frame surrounding the moving object. In this case, the portion that protrudes from the frame due to enlargement of the image of the moving object is not displayed. As a result, in the illustrated example, an image in a state where the upper end portion of the pedestrian's head and the tip portion of the foot are missing is displayed.
 また、図13(b)に示した例では、移動体を囲う枠ごと、移動体の画像を拡大する。この場合、拡大前の枠の周囲の画像は、枠ごと拡大した移動体の画像で上書きされる。 In the example shown in FIG. 13B, the image of the moving body is enlarged for each frame surrounding the moving body. In this case, the image around the frame before enlargement is overwritten with the image of the moving body enlarged together with the frame.
 尚、何れの方法で拡大する場合にも、画像を拡大する割合は、修正後の認識容易度が小さいほど大きくしてもよい。もっとも、移動体の画像を拡大すると遠くの移動体が近区にあるように見えてしまうので、拡大する割合には所定の上限値を設定しておくことが望ましい。 Note that, in any case of enlarging by any method, the ratio of enlarging the image may be increased as the recognition degree after correction is smaller. However, if the image of the moving object is enlarged, a distant moving object will appear to be in the vicinity, so it is desirable to set a predetermined upper limit for the enlargement ratio.
 また、決定された強調表示態様が、移動体をシンボル画像に差し替えて表示する態様であった場合(移動体の修正後の認識容易度が第3閾値未満であった場合)には、撮影画像中で移動体が写った部分の画像を、移動体の類別に対応するシンボル画像に差し替えることによって、撮影画像を合成する。 In addition, when the determined highlighting mode is a mode in which the moving body is replaced with a symbol image (when the ease of recognition after correction of the moving body is less than the third threshold), the captured image is displayed. The image of the part in which the moving body is shown is replaced with a symbol image corresponding to the type of the moving body to synthesize the captured image.
 たとえば、図14(a)に例示したように移動体が歩行者であれば、歩行者が写った部分の画像に、人間を表すシンボル画像114sを上書きする。また、動物が写っている場合には、図14(b)に例示するような動物を表すシンボル画像114sを上書きする。これらのシンボル画像114sは、シンボル画像記憶部114に予め記憶されている。 For example, as illustrated in FIG. 14A, if the moving body is a pedestrian, the symbol image 114s representing a person is overwritten on the image of the portion where the pedestrian is shown. If an animal is shown, a symbol image 114s representing the animal as illustrated in FIG. 14B is overwritten. These symbol images 114 s are stored in advance in the symbol image storage unit 114.
 尚、シンボル画像114sに差し替える移動体は、図5中の「C」の部分の歩行者のようにたいへん小さく写っていると考えられる。このため、シンボル画像114sの大きさを、移動体が写った大きさに合わせて表示したのでは、シンボル画像114sが小さすぎて運転者が認識困難な場合が予想される。そこで、シンボル画像記憶部114には、運転者が認識できる程度の大きさのシンボル画像114sが、移動体の類別毎に1つずつ記憶されており、撮影画像中に写った移動体の大きさに拘わらず、同じ大きさのシンボル画像114sに差し替えて表示されるようになっている。 It should be noted that the moving object to be replaced with the symbol image 114s is considered to be very small like a pedestrian in the portion “C” in FIG. For this reason, if the size of the symbol image 114s is displayed in accordance with the size of the moving object, the symbol image 114s may be too small to be recognized by the driver. In view of this, the symbol image storage unit 114 stores one symbol image 114s large enough to be recognized by the driver for each type of moving object, and the size of the moving object shown in the captured image. Regardless of this, the symbol image 114s having the same size is replaced and displayed.
 以上に説明したように、選択した移動体の認識容易度を覚醒度に基づいて修正した値が、許容値に満たなかった場合は(図4のS112:NO)、修正後の認識容易度に応じた態様で強調表示された移動体の画像を生成し、生成した画像を撮影画像中に合成する(S114、S116)。 As described above, when the value obtained by correcting the recognition ease of the selected moving body based on the arousal level is less than the allowable value (S112: NO in FIG. 4), the recognition ease after the correction is increased. An image of the moving body highlighted in a corresponding manner is generated, and the generated image is combined with the captured image (S114, S116).
 これに対して、移動体の修正した認識容易度が許容値以上であった場合は(S112:YES)、S114およびS116の処理は省略する。 On the other hand, when the ease of recognition corrected by the moving body is equal to or greater than the allowable value (S112: YES), the processes of S114 and S116 are omitted.
 そして、撮影画像中で検出した全ての移動体について、上述した処理(S110~S116)を終了したか否かを判断し(S118)、未処理の移動体が残っている場合は(S118:NO)、S108に戻って新たな移動体を1つ選択して、続く上述した一連の処理を実行する。 Then, it is determined whether or not the above-described processing (S110 to S116) has been completed for all the moving bodies detected in the captured image (S118). If any unprocessed moving bodies remain (S118: NO) ), Returning to S108, selecting one new moving body, and executing the series of processes described above.
 このような処理を繰り返して、全ての移動体についての処理を終了したと判断したら(S118:YES)、表示画像生成部112は、最終的に得られた撮影画像の画像データを表示モニター14に出力して(S120)、本実施例の撮影画像表示処理を終了する。 When it is determined that the processing for all the moving objects has been completed by repeating such processing (S118: YES), the display image generating unit 112 displays the image data of the finally obtained captured image on the display monitor 14. In step S120, the captured image display process of this embodiment is terminated.
 その結果、表示モニター14には、移動体検出部104が検出した全ての移動体が運転者によって容易に認識可能な状態で、撮影画像が表示される。 As a result, the captured image is displayed on the display monitor 14 in a state where all the moving bodies detected by the moving body detection unit 104 can be easily recognized by the driver.
 図15には、表示モニター14に表示された撮影画像が例示されている。図5に示した車載カメラ10が撮影した画像と比較すると、表示モニター14に表示された撮影画像では、運転者が認識困難な移動体であっても、困難な程度に応じて強調表示されており、その結果、全ての移動体が容易に認識可能な状態で表示されている。 FIG. 15 illustrates a captured image displayed on the display monitor 14. Compared with the image captured by the in-vehicle camera 10 shown in FIG. 5, in the captured image displayed on the display monitor 14, even a moving body that is difficult for the driver to recognize is highlighted depending on the degree of difficulty. As a result, all the moving objects are displayed in a state where they can be easily recognized.
 たとえば、図中で「F」と表示した箇所の車両は、車載カメラ10が撮影した画像(図5の画像)中では、大きさは十分であるもののコントラストが低いために、運転者が見落とす虞があるが、図15の表示モニター14上の画像では枠で囲って表示されているため、運転者が認識し易くなっている。 For example, the vehicle indicated by “F” in the figure is sufficiently large in the image taken by the in-vehicle camera 10 (the image in FIG. 5), but the contrast is low, so the driver may overlook it. However, the image on the display monitor 14 in FIG. 15 is surrounded by a frame and is thus easily recognized by the driver.
 また、図中で「B」あるいは「E」と表示した箇所の歩行者は、車載カメラ10が撮影した画像中では、大きさも十分とは言えずコントラストも低いため、運転者が見落とす可能性がある。しかし、図15の表示モニター14上の画像では、枠で囲って表示されると共にコントラストも強調されているので、「F」の箇所の車両と同じ程度に、運転者が認識し易くなっている。 In addition, a pedestrian at a location indicated as “B” or “E” in the drawing may not be sufficiently large and has a low contrast in the image taken by the in-vehicle camera 10, so the driver may miss it. is there. However, in the image on the display monitor 14 of FIG. 15, the frame is displayed surrounded by a frame and the contrast is also emphasized, so that the driver can easily recognize it as much as the vehicle at the location “F”. .
 更に、図中で「D」と表示した箇所の歩行者は、車載カメラ10が撮影した画像中では、大きさが小さくコントラストも低いため、運転者が見落とす可能性が高い。しかし、図15の表示モニター14上の画面では、枠で囲って表示されると共にコントラストが強調され、更に少し拡大して表示されているので、「B」あるいは「E」の歩行者と比べて大きくは違わない程度まで、運転者が認識し易くなっている。 Furthermore, the pedestrian at the location indicated by “D” in the figure is likely to be overlooked by the driver because it is small in size and low in the image taken by the in-vehicle camera 10. However, the screen on the display monitor 14 in FIG. 15 is displayed surrounded by a frame and emphasized in contrast, and is further magnified, so that it is compared with a pedestrian “B” or “E”. To the extent that it is not significantly different, it is easier for the driver to recognize.
 また、図中で「C」と表示した箇所の歩行者は、車載カメラ10が撮影した画像中では、たいへんに小さくコントラストも低いため、運転者はほとんど認識できないが、図15の表示モニター14上の画面では、シンボル画像114sに差し替えられて表示されている。シンボル画像114sは単純な図形であり、目に付き易いので、運転者が認識し易くなっている。 In addition, since the pedestrian at the location indicated by “C” in the figure is very small and has a low contrast in the image taken by the in-vehicle camera 10, the driver can hardly recognize it, but on the display monitor 14 in FIG. In this screen, the symbol image 114s is replaced and displayed. The symbol image 114s is a simple figure and easily visible, so that the driver can easily recognize it.
 尚、図中で「A」と表示した箇所の歩行者は、十分に大きく且つコントラストも高いので、車載カメラ10で撮影された画像のままでも運転者が容易に認識することができる。 In addition, since the pedestrian of the location indicated as “A” in the figure is sufficiently large and has high contrast, the driver can easily recognize the image taken by the in-vehicle camera 10 as it is.
 以上のように、表示モニター14に表示される画像では、何れの移動体についても、運転者が容易に認識することが可能である。このため、本実施例では、たとえ運転者に認識されにくい移動体でも、移動体の認識容易度に応じて強調表示して表示するので、検出した全ての移動体の存在を運転者に認識させることが可能である。また、移動体の認識容易度を運転者の覚醒度に応じて修正し、修正後の認識容易度に基づいて強調表示の態様を決定しているので、運転者のコンディションによらずに、検出した全ての移動体を運転者に認識させることが可能となる。 As described above, in the image displayed on the display monitor 14, the driver can easily recognize any moving body. For this reason, in this embodiment, even a moving body that is difficult for the driver to recognize is highlighted and displayed according to the degree of ease of recognition of the moving body, so that the driver can recognize the presence of all detected moving bodies. It is possible. In addition, the ease of recognition of moving objects is corrected according to the driver's arousal level, and the highlighting mode is determined based on the corrected level of recognition, so it can be detected regardless of the driver's condition. It is possible to make the driver recognize all the moving bodies.
 上記実施形態では、撮影画像に移動体が存在する場合、指標値検出部106が、移動体検出部104より撮影画像から検出した移動体の各々について、運転者による認識のし易さに関する指標値を検出する。そして、得られた指標値と、運転者の覚醒度とに基づいて、表示態様決定部110が移動体を強調表示する強調表示態様を移動体毎に決定し、表示画像生成部112が、決定した強調表示態様で移動体が強調表示された画像を生成し、表示装置14に生成した画像を表示する。 In the above embodiment, when there is a moving object in the captured image, the index value regarding the ease of recognition by the driver for each of the moving objects detected by the index value detection unit 106 from the captured image by the moving object detection unit 104. Is detected. Then, based on the obtained index value and the driver's arousal level, the display mode determination unit 110 determines the highlight mode for highlighting the mobile unit for each mobile unit, and the display image generation unit 112 determines An image in which the moving body is highlighted in the highlighted display mode is generated, and the generated image is displayed on the display device 14.
 こうすれば、移動体の認識のし易さに関する指標値だけでなく、運転者の覚醒度も考慮
した態様で、移動体を強調表示することができる。このため、運転者が疲れや眠気を感じ
ているような場合でも、撮影画像中から検出された移動体を運転者に認識させることが可
能となる。
In this way, the moving body can be highlighted in a manner that takes into consideration not only the index value relating to the ease of recognition of the moving body but also the driver's arousal level. For this reason, even when the driver feels tired or sleepy, the driver can recognize the moving body detected from the captured image.
 また、上記実施形態において、指標値検出部106は、撮影画像上での移動体の大きさを運転者による認識のし易さに関する指標値として検出している。 In the above embodiment, the index value detection unit 106 detects the size of the moving body on the captured image as an index value related to the ease of recognition by the driver.
 撮影画像上での移動体の大きさは、運転者による認識のし易さに大きく関係し、且つ検出も容易である。従って、撮影画像上での移動体の大きさは、運転者による認識のし易さに関する指標値として好適に用いることができる。 The size of the moving body on the photographed image is largely related to the ease of recognition by the driver and is easy to detect. Therefore, the size of the moving body on the captured image can be suitably used as an index value relating to the ease of recognition by the driver.
 また、上記実施形態において、指標値検出部106は、移動体のコントラスト(すなわち、撮影画像上で移動体が写った部分と、その移動体の背景部分との輝度差に関する指標)を運転者による認識のし易さに関する指標値として検出している。 In the above embodiment, the index value detection unit 106 determines the contrast of the moving body (that is, an index related to the luminance difference between the portion where the moving body appears on the captured image and the background portion of the moving body) by the driver. It is detected as an index value related to ease of recognition.
 撮影画像上での移動体のコントラストの大きさも、運転者による認識のし易さに大きく関係し、且つ検出も容易である。従って、撮影画像上での移動体のコントラストも、運転者による認識のし易さに関する指標値として好適に用いることができる。 The magnitude of the contrast of the moving object on the photographed image is greatly related to the ease of recognition by the driver, and is easy to detect. Therefore, the contrast of the moving body on the captured image can also be suitably used as an index value related to the ease of recognition by the driver.
 また、上記実施形態において、表示態様決定部110は、移動体を拡大して表示する態様を移動体を強調して表示する強調表示態様としてもよい。 Further, in the above-described embodiment, the display mode determination unit 110 may display the mobile body in an enlarged display mode by highlighting the mobile body.
 移動体を拡大表示すれば、撮影画像上で移動体を簡単に強調表示することができる。 If the moving object is enlarged and displayed, the moving object can be easily highlighted on the photographed image.
 また、上記実施形態において、表示態様決定部110は、移動体と、移動体の背景部分とのコントラストを強調して表示する態様を移動体を強調して表示する強調表示態様としてもよい。 Further, in the above-described embodiment, the display mode determination unit 110 may use a display mode in which the contrast between the moving body and the background portion of the moving body is emphasized and displayed with the moving body highlighted.
 移動体と移動体の背景部分とのコントラストを強調して表示すれば、撮影画像上で移動体を簡単に強調表示することが可能となる。 If the contrast between the moving object and the background portion of the moving object is displayed with emphasis, the moving object can be easily highlighted on the captured image.
 また、上記実施形態において、表示態様決定部110は、移動体の類別(たとえば、歩行者や車両など)毎に所定のシンボル画像が記憶されているシンボル画像記憶部114から移動体の類別に対応するシンボル画像を取得し、撮影画像において移動体の画像を移動体の類別に対応するシンボル画像に差し替えて表示することとしてもよい。即ち、表示態様決定部110は、移動体の画像を移動体の類別に対応するシンボル画像に差し替えて表示する態様を移動体を強調して表示する強調表示態様としてもよい。 In the above embodiment, the display mode determination unit 110 corresponds to the classification of the moving object from the symbol image storage unit 114 in which a predetermined symbol image is stored for each classification of the moving object (for example, a pedestrian or a vehicle). The symbol image to be acquired may be acquired, and the image of the moving object in the captured image may be replaced with the symbol image corresponding to the type of the moving object and displayed. That is, the display mode determination unit 110 may change the display of the moving body image to the symbol image corresponding to the type of the moving body and may display the highlighted moving body.
 こうすれば、運転者が認識し易い画像をシンボル画像としておくことで、撮影画像上で移動体を簡単に強調表示することが可能となる。 In this way, it is possible to easily highlight the moving object on the captured image by setting the image that is easy for the driver to recognize as the symbol image.
 (変形例):
 上述した実施例では、撮影画像に移動体が存在する場合、撮影画像中から検出した移動体の認識容易度に基づいて、移動体を強調表示するか否かを判断し、強調表示すると判断した場合の強調表示態様も認識容易度に基づいて決定するものとして説明した。しかし、強調表示態様については、認識容易度ではなく、(認識容易度を決定するために用いた)移動体の大きさおよびコントラストに基づいて決定しても良い。
(Modification):
In the above-described embodiment, when a moving object is present in the captured image, it is determined whether to highlight the moving object based on the recognition ease of the moving object detected from the captured image, and it is determined to highlight the moving object. It has been described that the highlighting mode in the case is also determined based on the recognition degree. However, the highlighting mode may be determined based on the size and contrast of the moving body (used to determine the recognition ease) instead of the recognition ease.
 図16には、変形例の撮影画像表示処理で移動体の強調表示態様を決定するための考え方が示されている。 FIG. 16 shows a concept for determining the highlighting mode of the moving object in the captured image display process of the modification.
 たとえば、図中に「第1グループ」と表示したように、移動体の大きさが大きく且つコントラストが低い移動体については、認識容易度が許容値を下回る主な原因は、主にコントラストが低いことにあると考えて良い。そこで、図中に白抜きの矢印で示したように、主にコントラストを強調するような強調表示態様に決定する。 For example, as indicated by “first group” in the figure, for a moving body having a large moving body and low contrast, the main reason for the ease of recognition being below the allowable value is mainly low contrast. You can think that there is. Therefore, as shown by the white arrow in the figure, the highlighted display mode that mainly emphasizes the contrast is determined.
 尚、図5に示した例では、撮影画像中で「F」と表示した箇所に写った車両が、第1グループの移動体に該当する。 In the example shown in FIG. 5, the vehicle shown in the place indicated by “F” in the captured image corresponds to the moving body of the first group.
 また、図中に「第2グループ」と表示したように、移動体の大きさおよびコントラストの何れも中くらいの移動体については、認識容易度が許容値を下回る原因は、移動体の大きさおよびコントラストの何れにもあると考えて良い。そこで、図中に白抜きの矢印で示したように、移動体を拡大し且つコントラストも強調するような強調表示態様に決定する。但し、移動体を拡大すると遠近感が狂ってしまうので、移動体の拡大率は控えめにしておくことが望ましい。 In addition, as indicated by “second group” in the figure, the reason why the ease of recognition falls below the permissible value is the reason for the moving object having a medium size and contrast. And it can be considered that both of them are in contrast. Therefore, as indicated by the white arrow in the figure, the highlighted display mode is selected so that the moving body is enlarged and the contrast is also emphasized. However, if the moving body is enlarged, the perspective is distorted, so it is desirable to keep the expansion rate of the moving body low.
 尚、図5に示した例では、撮影画像中で「B」あるいは「E」と表示した箇所に写った歩行者が、第2グループの移動体に該当する。 In the example shown in FIG. 5, a pedestrian reflected in a place indicated as “B” or “E” in the photographed image corresponds to the moving body of the second group.
 また、図中に「第3グループ」と表示したように、移動体の大きさが小さく且つコントラストが高い移動体については、認識容易度が許容値を下回る原因は、移動体の大きさが小さいことにあると考えて良い。従って、移動体の大きさを拡大するが、あまりに拡大しすぎると遠近感が狂ってしまうので拡大するには限界がある。そこで、図中に白抜きの矢印で示したように、移動体を拡大し、移動体の拡大だけでは不足する部分についてはコントラストも強調することによって補うような強調表示態様に決定する。 In addition, as indicated by “third group” in the figure, for a moving body having a small moving body and a high contrast, the reason why the ease of recognition is below the allowable value is small. You can think that there is. Accordingly, although the size of the moving body is enlarged, there is a limit to enlargement because the perspective is distorted if it is enlarged too much. Therefore, as shown by the white arrow in the figure, the moving object is enlarged, and the highlighted display mode is determined by compensating for the portion that is insufficient only by the enlargement of the moving object by enhancing the contrast.
 尚、図5に示した例では、撮影画像中で「D」と表示した箇所に写った歩行者が、第3グループの移動体に該当する。 In the example shown in FIG. 5, a pedestrian who appears in a place where “D” is displayed in the captured image corresponds to a moving body of the third group.
 更に、図中に「第4グループ」と表示したように、移動体の大きさが小さく且つコントラストも低い移動体については、移動体の画像をシンボル画像114sに差し替える強調表示態様に決定する。これは、遠近感が狂わないようにしようとすると、移動体を拡大し且つコントラストも強調しても、許容値を上回る程度まで認識容易度を大きくすることができないためである。 Further, as indicated by “fourth group” in the figure, for a moving body having a small moving body size and low contrast, it is determined as an emphasis display mode in which the image of the moving body is replaced with the symbol image 114s. This is because, if an attempt is made to prevent the perspective from being distorted, the recognition ease cannot be increased to a level exceeding the allowable value even if the moving body is enlarged and the contrast is enhanced.
 尚、図5に示した例では、撮影画像中で「C」と表示した箇所に写った歩行者が、第4グループの移動体に該当する。 In the example shown in FIG. 5, a pedestrian that appears in a place indicated by “C” in the captured image corresponds to a moving body of the fourth group.
 また、図16中の「第3グループ」よりも更にコントラストが高い移動体については、移動体の拡大だけでは不足する部分をコントラストの強調によって補うことができないので、移動体の画像をシンボル画像114sに差し替える強調表示態様に決定してもよい。 Further, with respect to a moving object having a higher contrast than the “third group” in FIG. 16, a portion that is insufficient only by enlargement of the moving object cannot be compensated for by contrast enhancement. You may determine to the highlight display aspect replaced with.
 以上に説明した変形例では、移動体が運転者に認識され難くなっている原因に応じて、移動体の強調表示態様を決定することができるので、表示モニター14の画面上では、移動体がより適切な態様で強調表示された撮影画像を表示することができる。 In the modification described above, since the highlighting mode of the moving body can be determined according to the cause that the moving body is difficult to be recognized by the driver, the moving body is displayed on the screen of the display monitor 14. A captured image highlighted in a more appropriate manner can be displayed.
 本開示は、実施例に準拠して記述されたが、本開示は当該実施例や構造に限定されるものではないと理解される。本開示は、様々な変形例や均等範囲内の変形をも包含する。加えて、様々な組み合わせや形態、さらには、それらに一要素のみ、それ以上、あるいはそれ以下、を含む他の組み合わせや形態をも、本開示の範疇や思想範囲に入るものである。 Although the present disclosure has been described based on the embodiments, it is understood that the present disclosure is not limited to the embodiments and structures. The present disclosure includes various modifications and modifications within the equivalent range. In addition, various combinations and forms, as well as other combinations and forms including only one element, more or less, are within the scope and spirit of the present disclosure.

Claims (7)

  1.  車載カメラ(10)で撮影した撮影画像に移動体が存在する場合、前記撮影画像から少なくとも一つの移動体を検出する移動体検出部(104)と、
     前記検出した各移動体について、運転者による認識のし易さに関する指標値を検出する指標値検出部(106)と、
     前記運転者の覚醒度を検出する覚醒度検出部(108)と、
     各移動体の指標値と前記覚醒度とに基づいて、各移動体を強調して表示する強調表示態様を決定する表示態様決定部(110)と、
     各移動体の強調表示態様に基づいて、各移動体が前記撮影画像において強調して表示された画像を生成して表示画面(14)に表示する表示制御部(112)と
     を備える撮影画像表示装置。
    A moving body detection unit (104) for detecting at least one moving body from the captured image when a moving body is present in the captured image captured by the in-vehicle camera (10);
    An index value detection unit (106) for detecting an index value relating to ease of recognition by the driver for each detected moving body;
    An arousal level detection unit (108) for detecting the driver's arousal level;
    A display mode determination unit (110) for determining a highlight mode for displaying each mobile unit in an emphasized manner based on the index value of each mobile unit and the arousal level;
    A captured image display comprising: a display control unit (112) that generates an image displayed by emphasizing the captured image in the captured image based on the highlighted display mode of each movable object and displays the image on the display screen (14). apparatus.
  2.  前記指標値検出部(106)は、前記撮影画像上での各移動体の大きさを前記指標値として検出する請求項1に記載の撮影画像表示装置。 The photographed image display device according to claim 1, wherein the index value detection unit (106) detects the size of each moving body on the photographed image as the index value.
  3.  前記指標値検出部(106)は、各移動体と該移動体の背景部分との前記撮影画像上でのコントラストを前記指標値として検出する請求項1または請求項2に記載の撮影画像表示装置。 The captured image display device according to claim 1, wherein the index value detection unit (106) detects, as the index value, a contrast between each moving body and a background portion of the moving body on the captured image. .
  4.  前記表示態様決定部(110)は、各移動体を拡大して表示する態様を前記強調表示態様として決定する請求項1ないし請求項3の何れか一項に記載の撮影画像表示装置。 The photographed image display device according to any one of claims 1 to 3, wherein the display mode determination unit (110) determines a mode in which each moving body is displayed in an enlarged manner as the highlight display mode.
  5.  前記表示態様決定部(110)は、各移動体と該移動体の背景部分とのコントラストを強調して表示する態様を前記強調表示態様として決定する請求項1ないし請求項3の何れか一項に記載の撮影画像表示装置。 The display mode determination unit (110) determines, as the highlight display mode, a mode in which the contrast between each moving body and the background portion of the moving body is emphasized and displayed. The captured image display device described in 1.
  6.  前記移動体の類別毎に所定のシンボル画像を記憶しておくシンボル画像記憶部(114)をさらに備え、
     前記表示態様決定部(110)は、各移動体の画像を該移動体の類別に対応する前記シンボル画像に差し替えて表示する態様を前記強調表示態様として決定する請求項1ないし請求項3の何れか一項に記載の撮影画像表示装置。
    A symbol image storage unit (114) for storing a predetermined symbol image for each category of the moving body;
    The display mode determination unit (110) determines, as the highlight mode, a mode in which an image of each moving body is replaced with the symbol image corresponding to the type of the moving body. The captured image display device according to claim 1.
  7.  車載カメラ(10)で撮影した撮影画像から少なくとも一つの移動体を検出し、
     前記検出した各移動体について、運転者による認識のし易さに関する指標値を検出し、
     前記運転者の覚醒度を検出し、
     各移動体の指標値と前記覚醒度とに基づいて、各移動体を強調して表示する強調表示態様を決定し、
     各移動体の強調表示態様に基づいて、各移動体が前記撮影画像において強調して表示された画像を生成して表示画面(14)に表示すること
     を備える撮影画像表示方法。
    At least one moving object is detected from a photographed image photographed by the in-vehicle camera (10),
    For each detected moving body, an index value relating to ease of recognition by the driver is detected,
    Detecting the driver's arousal level,
    Based on the index value of each moving body and the arousal level, the highlighting display mode for emphasizing and displaying each moving body is determined,
    A captured image display method comprising: generating, based on an emphasis display mode of each moving object, an image in which each moving object is emphasized and displayed in the captured image and displaying the generated image on a display screen (14).
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