JP7282952B1 - elevator system - Google Patents

Abstract

An object of the present invention is to set a mirror area on a captured image without requiring information about the mirror, thereby preventing erroneous detection due to the mirror. Kind Code: A1 An elevator system according to an embodiment includes an imaging means, a feature extraction means, a mirror image block detection means, and a mirror area generation means in an elevator system in which a mirror is installed in a car. The image capturing means captures an image of a range including a landing near an entrance from inside the car. The feature quantity extraction means extracts the feature quantity of the image obtained by the imaging means in block units. The mirror image block detection means detects symmetrical motion in a pair of block images having symmetrical motion in the image based on the change in the feature quantity of the image extracted by the feature quantity extraction means. A pair of blocks is determined, and one of the pair of blocks is detected as a mirror image block. The mirror area generating means generates a mirror area from the aggregation of the mirror image blocks detected by the mirror image block detecting means. [Selection diagram] Fig. 1

Description

Embodiments of the present invention relate to an elevator system that uses a camera installed in the car to detect passengers.

Conventionally, a camera was installed inside the car of an elevator, and by processing the images taken by this camera, the number of passengers inside the car was detected. A system is known which is reflected in operation control.

In this type of system, it is necessary to accurately detect the user by image processing. However, if a mirror is installed in the car, a phenomenon such as erroneously detecting the users reflected in the mirror and double-counting the number of passengers may occur.

JP 2020-145511 A Japanese Patent No. 5230793

As a method for preventing erroneous detection due to the mirror described above, it is common to mask an area (mirror area) corresponding to the installation location of the mirror on the captured image. However, the installation location of the mirror differs depending on the specifications of the car. Therefore, when using the above method, it is necessary to check the specifications of the car for each property, provide the system with information on the mirror (installation location, etc.), and set the mirror area.

SUMMARY OF THE INVENTION An object of the present invention is to provide an elevator system that can prevent erroneous detection by a mirror by setting a mirror area on a photographed image without requiring information about the mirror.

An elevator system according to one embodiment is an elevator system in which a mirror is installed in a car, and includes imaging means, feature quantity extraction means, mirror image block detection means, and mirror area generation means. The image capturing means captures an image of a range including a landing near an entrance from inside the car. The feature quantity extraction means extracts the feature quantity of the image obtained by the imaging means in block units. The mirror image block detection means determines a pair of blocks having symmetrical motion in the image based on changes in the feature amount of the image extracted by the feature amount extraction means, and determines the pair of blocks. One is detected as a mirror image block. The mirror area generating means generates a mirror area from the aggregation of the mirror image blocks detected by the mirror image block detecting means.

FIG. 1 is a diagram showing the configuration of an elevator system according to one embodiment. FIG. 2 is a diagram showing the configuration of the entrance and exit peripheral portion in the car in the same embodiment. FIG. 3 is a diagram showing an example of an image captured by a camera in the same embodiment. FIG. 4 is a diagram showing an example of an image of frame N in the same embodiment. FIG. 5 is a diagram showing an example of an image of frame N+1 in the same embodiment. FIG. 6 is a diagram showing an example of change in luminance gradient between images in the same embodiment. FIG. 7 is a diagram showing an example of changes in luminance gradients, luminance values, and histograms between images in the same embodiment. FIG. 8 is a diagram showing an example of marking a mirror image block in the same embodiment. FIG. 9 is a diagram for explaining a method of generating a mirror area in the same embodiment. FIG. 10 is a diagram for explaining another method of generating a mirror area in the same embodiment. FIG. 11 is a flow chart for explaining the operation of the elevator system in the same embodiment. FIG. 12 is a flow chart showing the details of the mirror area generation process executed in step S16 of FIG. 11 above.

Embodiments will be described below with reference to the drawings.
The disclosure is merely an example, and the invention is not limited by the contents described in the following embodiments. Modifications that can be easily conceived by those skilled in the art are naturally included in the scope of the disclosure. In order to make the explanation clearer, in the drawings, the size, shape, etc. of each part may be changed from the actual embodiment and shown schematically. Corresponding elements in multiple drawings may be denoted by the same reference numerals and detailed descriptions thereof may be omitted.

FIG. 1 is a diagram showing the configuration of an elevator system according to one embodiment. Here, one car will be described as an example, but the configuration is the same for a plurality of cars.

A camera 12 used as imaging means is installed above the doorway of the car 11 . Specifically, the camera 12 is installed in the curtain board 11a covering the upper part of the doorway of the car 11 with the lens portion directed directly downward. The camera 12 has a super-wide-angle lens such as a fish-eye lens, and photographs a wide range of objects including the inside of the car 11 with a viewing angle of 180 degrees or more. The camera 12 can continuously take several frames per second (for example, 30 frames/second).

Note that the camera 12 may be installed near the car door 13 and not above the doorway of the car 11 . For example, the ceiling surface near the doorway of the car 11 may be a place where the entire inside of the car including the entire floor surface in the car 11 and the landing 15 near the doorway when the door is open can be photographed.

At the landing 15 of each floor, a landing door 14 is installed at the arrival gate of the car 11 so as to be openable and closable. The landing door 14 engages with the car door 13 to open and close when the car 11 arrives. The power source (door motor) is located on the car 11 side, and the landing door 14 simply follows the car door 13 to open and close. In the following description, it is assumed that when the car door 13 is open, the landing door 14 is also open, and when the car door 13 is closed, the landing door 14 is also closed.

Each image (video) captured continuously by the camera 12 is analyzed in real time by the image processing device 20 . Although FIG. 1 shows the image processing device 20 removed from the car 11 for the sake of convenience, the image processing device 20 is actually housed in the curtain plate 11a together with the camera 12. As shown in FIG.

The image processing device 20 includes a storage section 21 and a detection section 22 . The storage unit 21 sequentially stores images captured by the camera 12 and has a buffer area for temporarily storing data required for processing by the detection unit 22 . Note that the storage unit 21 may store an image that has undergone processing such as distortion correction, enlargement/reduction, and partial cutout as preprocessing for the captured image.

The detection unit 22 is composed of, for example, a microprocessor, and detects a user in the car 11 or at the hall 15 using the image captured by the camera 12 . The detection unit 22 is functionally divided into a feature amount extraction unit 22a, a mirror image block detection unit 22b, a mirror area generation unit 22c, and a detection processing unit 22d. Note that these may be realized by software, hardware such as an IC (Integrated Circuit), or both software and hardware. Alternatively, the elevator control device 30 may have a part or all of the functions of the image processing device 20 .

The feature amount extraction unit 22a reads each image stored in the storage unit 21 in chronological order, and extracts feature amounts from these images in units of blocks. A “block unit” is a unit when an image is divided into blocks of a predetermined size in a matrix form. A “feature amount” is a numerical value that quantitatively expresses the features/characteristics of an image, and includes, for example, a luminance gradient, a luminance value, a histogram, and the like. The mirror image block detection unit 22b determines a pair of blocks having symmetrical motion in the image based on changes in the feature amount of the image extracted by the feature amount extraction unit 22a. The mirror image block detection unit 22b detects one of the pair of blocks as a mirror image block based on the position of the car sill 47 (see FIG. 3) of the car 11 on the captured image. A "mirror image block" refers to a block recognized as an image in the mirror 50 (see FIG. 3) installed in the car 11. FIG. The mirror area generation unit 22c generates a mirror area from the set of mirror image blocks detected by the mirror image block detection unit 22b.

The detection processing unit 22d detects the presence or absence of a user in the car 11 or in the hall 15 based on changes in brightness of images obtained from the camera 12 in chronological order. In addition to the user, for example, an object such as a wheelchair may be included in the detection target. At that time, the detection processing unit 22d performs processing such as masking the mirror area recognized by the mirror area generation unit 22c so as not to erroneously detect the user reflected in the mirror 50 .

The elevator control device 30 is composed of a computer having a CPU, a ROM, a RAM, and the like. The elevator control device 30 includes an operation control section 31 , a door opening/closing control section 32 and a notification section 33 . The operation control unit 31 controls the operation of the car 11 . The door opening/closing control unit 32 controls opening/closing of the car door 13 when the car 11 arrives at the hall 15 . Specifically, the door opening/closing control unit 32 opens the car door 13 when the car 11 arrives at the hall 15, and closes the car door 13 after a predetermined time has elapsed.

Here, for example, when the detection processing unit 22d detects a user near the car door 13 during the door opening operation of the car door 13, the door opening/closing control unit 32 detects a door accident (a person being pulled into the door pocket). Door opening/closing control is performed to avoid accidents. Specifically, the door opening/closing control unit 32 temporarily stops the door opening operation of the car door 13, moves the car door 13 in the opposite direction (door closing direction), or slows down the door opening speed of the car door 13. The notification unit 33 calls the attention of the user in the car 11 based on the detection result of the detection processing unit 22d.

FIG. 2 is a diagram showing the configuration of the entrance and exit peripheral portion in the car 11. As shown in FIG.
A car door 13 is provided at the doorway of the car 11 so as to be freely opened and closed. In the example of FIG. 2, a car door 13 of a two-door double-opening type is shown, and two door panels 13a and 13b constituting the car door 13 open and close in opposite directions along the frontage direction (horizontal direction). . Note that the “frontage” is the same as the doorway of the car 11 .

Front pillars 41a and 41b are provided on both sides of the doorway of the car 11, and surround the doorway of the car 11 together with the curtain board 11a. The "front pillar" is also called an entrance pillar or an entrance frame, and generally has a door pocket for housing the car door 13 on the back side. In the example of FIG. 2, when the car door 13 is opened, one door panel 13a is accommodated in the door pocket 42a provided on the back side of the front pillar 41a, and the other door panel 13b is provided on the back side of the front pillar 41b. It is housed in the door pocket 42b.

One or both of the front pillars 41a and 41b are provided with a display 43, an operation panel 45 having destination floor buttons 44, and a speaker 46. As shown in FIG. In the example of FIG. 2, a speaker 46 is installed on the front pillar 41a, and a display 43 and an operation panel 45 are installed on the front pillar 41b.

Further, as shown in FIG. 3, a rectangular mirror 50 is installed on the rear surface 49 of the car 11 at a location facing the entrance. This mirror 50 is used as a rearview mirror when a wheelchair user gets off the car 11, for example. The mirror 50 includes not only the "glass type" but also the "stainless steel mirror type".

A camera 12 having a super-wide-angle lens such as a fish-eye lens is installed in the center of the curtain plate 11a above the doorway of the car 11. As shown in FIG. The camera 12 photographs the inside of the car 11 and the landing 15 near the entrance at a predetermined frame rate (for example, 30 frames/second). An image captured by the camera 12 is supplied to the image processing device 20 shown in FIG. 1 and used for detection processing for detecting a user or an object.

FIG. 3 is a diagram showing an example of an image captured by the camera 12. As shown in FIG. With the car door 13 (door panels 13a, 13b) and the landing door 14 (door panels 14a, 14b) fully opened, the entire car interior and the landing 15 near the doorway are photographed at a viewing angle of 180 degrees or more from the upper part of the entrance of the car 11. indicates the case. The upper side is the landing 15 and the lower side is the inside of the car 11 .

In the landing 15, three-sided frames 17a and 17b are provided on both sides of the arrival gate of the car 11, and a strip-shaped landing sill 18 having a predetermined width is provided on the floor surface 16 between the three-sided frames 17a and 17b. 14 are arranged along the opening/closing direction. A band-shaped car sill 47 having a predetermined width is arranged along the opening/closing direction of the car door 13 on the doorway side of the floor surface 19 of the car 11 .

Here, when the mirror 50 is installed in the car 11, there arises a problem such as erroneous detection of the user reflected in the mirror 50 on the photographed image and double counting of the number of passengers. In this case, erroneous detection by the mirror 50 can be prevented by masking an area (mirror area) corresponding to the installation location of the mirror 50 on the captured image. However, in order to set the mirror area, it is necessary to provide the system with information (installation location, etc.) on the mirror 50 for each object in advance, which is extremely time-consuming.

A method for correctly setting the mirror area to the portion corresponding to the installation location of the mirror 50 on the captured image without requiring information about the mirror 50 will be described below.
(a) Detection of Symmetrical Motion FIG. 4 is a diagram showing an example of the image of frame N, and FIG. 5 is a diagram showing an example of the image of frame N+1 (N is an arbitrary integer). P1 and P2 in the figure indicate users. The user P1 is riding in the car 11 at a position not reflected in the mirror 50 (near the side 48a in this example). The user P2 is in the vicinity of the doorway of the car 11 and is about to get into the car 11 . A mirror 50 is installed at a position facing the entrance of the rear surface 49 of the car 11, and the user P2 is reflected in the mirror 50. - 特許庁

On the captured image, the real image of the user P2 and the mirror image of the user P2 reflected in the mirror 50 move symmetrically. Therefore, in order to detect the position of the mirror 50, it suffices to detect a symmetrically moving portion on the photographed image. Specifically, the captured image is divided into predetermined block units, and a feature amount (for example, luminance gradient) is extracted for each block. Then, the amount of change when the feature amounts of the image of the frame N and the image of the frame N+1 are compared on a block-by-block basis is obtained, and a pair of blocks having symmetrical motion is determined from the amount of change.

FIG. 6 is a diagram showing an example of change in luminance gradient between images. Part A is the upper side of the image (on the hall side), and part B is the lower side of the image (on the back side of the car) (see FIGS. 4 and 5). The arrows in the figure indicate the direction of the luminance gradient.

Assume that in the image of frame N, the luminance gradient of block b (Xb, Yb) in the A portion is 270° and the luminance gradient of block k (Xk, Yk) in the B portion is 90°. Assume that in the image of frame N+1, the luminance gradient of block b (Xb, Yb) in the A portion is 225° and the luminance gradient of block k (Xk, Yk) in the B portion is 135°.

The amount of change in luminance gradient of block b (Xb, Yb) is −45° (225°−270°). The amount of change in luminance gradient for block k(Xk, Yk) is +45° (135°-90°). The amount of change in luminance gradient represents motion. Therefore, it can be seen that symmetrical motion occurs between block b and block k in the image. In this case, the difference between the amount of change in the luminance gradient of block b and the amount of change in the luminance gradient of block k is almost zero.

In the example of FIG. 6, the block b of the A part and the block k of the B part were focused on. A pair of blocks with symmetric motion above is determined, and one of the pair of blocks is detected as a mirror image block. As will be described later, since the mirror 50 is often installed on the back surface 49 of the car 11, a block close to the lower side of the photographed image is detected as a mirror image block with the position of the sill 40 as a reference.

As shown in FIG. 7, it is also possible to extract a luminance value or a histogram as a feature amount in addition to the luminance gradient, and detect a mirror image block based on the amount of change in these. In the example of FIG. 7, "brightness gradient" is extracted as feature amount 1, "brightness value" is extracted as feature amount 2, and "histogram" is extracted as feature amount 3. FIG. In this case, a value obtained by adding the amount of change in the luminance gradient, the amount of change in the luminance value, and the amount of change in the histogram according to a preset weighting value is used to detect the mirror image block.

Assuming that the difference in the amount of change in the luminance gradient extracted as feature quantity 1 is “−θ _b °−θ _k °” and the weighting value is “G _θ ”, the score S _θ of feature quantity 1 is obtained as follows. be done.
S _θ = (−θ _b °−θ _k °)×G _θ
The score S _β of the feature quantity 2 is calculated as follows, where "β _b −β _k " is the difference between the luminance value variations extracted as the feature quantity 2 and "G _β " is the weighting value.
S _β = (β _b −β _k )×G _β
Assuming that the difference in the amount of change in the histogram extracted as the feature quantity 3 is "Hist _b -Hist _k " and the weighting value is "G _hist ", the score S _hist of the feature quantity 3 is obtained as follows.
S _hist = (Hist _b −Hist _k )×G _β
Here, G _θ >G _β >G _hist . The reason why the weighting value G _θ of the luminance gradient is higher than the luminance value and the histogram is that the luminance gradient has directional properties and is therefore the most reliable for determining symmetrical motion. .

If the value obtained by adding the score S _θ of feature quantity 1, the score S _β of feature quantity 2, and the score S _hist of feature quantity 2 is within a preset threshold value TH1, block b and block k move symmetrically. are determined as a pair of blocks with The threshold value TH1 is set in consideration of the lighting environment of the car 11 and the like, and is an ideal value of 0±error. That is, the change in the feature amount of block b and the change in feature amount of block k are symmetrical, and the closer the difference between the changes in the feature amounts of the two is to zero, the more symmetrical the movement is judged to be. be.

Thus, by using luminance values and histograms in addition to luminance gradients, it is possible to more accurately determine a pair of blocks having symmetrical motion in a captured image. In addition, determination may be made by adding feature amounts other than luminance values and histograms.

(b) Generation of Mirror Area FIG. 8 is a diagram showing an example of marking a mirror image block. FIG. 9 is a diagram showing an example of mirror area generation. "M" is a mark indicating detection as a mirror image block. "Mb" is a mark indicating that the mirror image block has been established as part of the mirror.

When the landing 15 is on the upper side of the photographed image, among the pair of blocks having symmetrical motion detected in the above (a), a block existing below the car sill 47 is detected as a mirror image block. This is because the mirror 50 is generally installed on the rear surface 49 of the car 11 in many cases. When both of the pair of blocks are below the car sill 47, the one closer to the bottom of the photographed image is detected as the mirror image block.

As shown in FIG. 8, marks M are added to blocks detected as mirror image blocks. A mirror image block is detected for each image obtained in chronological order as a photographed image, and when the same block is detected as a mirror image block a certain number of times C1 or more (at least two times or more), the mirror image block is regarded as part of the mirror 50. It is determined and used to generate the mirror area ME. At this time, the mark M is replaced with the mark Mb. The reason why the predetermined number of times C1 or more is set is to exclude blocks irregularly erroneously detected as mirror image blocks due to the influence of noise or the like.

Here, as shown in FIG. 9, when a collection of mirror image blocks of the mark Mb occupies a ratio of, for example, 75% or more to form a rectangular area, this rectangular area is generated as the mirror area ME. The rectangular area is used because the shape of a mirror is generally rectangular.

As another method, for example, the rectangular area to be searched is expanded under the condition that the mirror image block of the mark Mb is included at a ratio of 75% or more, and the finally obtained rectangular area is used as the mirror area ME. You can also generate it.

A specific example is shown in FIG. Assume now that the mirror image blocks indicated by “Mb1” to “Mb10” are determined as part of the mirror 50 .
First, the first rectangular area including the mirror image block of "Mb1" is searched. Subsequently, a second rectangular area including mirror image blocks of "Mb2" and "Mb3" adjacent to the first rectangular area is set as a search target. Similarly, a third rectangular area including the mirror image blocks of "Mb4", "Mb5", and "Mb6" adjacent to the second rectangular area→mirror image blocks of "Mb7" and "Mb8" adjacent to the third rectangular area. 4th rectangular area containing → 5th rectangular area containing mirror image blocks of "Mb9" and "Mb10" adjacent to the 4th rectangular area... Then, the finally obtained fifth rectangular area is set as the mirror area ME.

If such a method is used, even if a block that is not recognized as a mirror image block is partially included, for example, if the image contains noise or if the mirror 50 is partially dirty, can also generate the mirror area ME correctly.

Next, the operation of the elevator system according to this embodiment will be described.
FIG. 11 is a flow chart for explaining the operation of the elevator system. The processing shown in this flowchart is mainly executed by the image processing device 20 .

Assume now that the door of the car 11 is open at an arbitrary floor. A camera 12 installed in the car 11 photographs the inside of the car 11 and the landing 15 near the entrance at a predetermined frame rate. The images captured by the camera 12 are stored in the storage unit 21 of the image processing device 20 in chronological order.

The detection unit 22 of the image processing device 20 reads each image stored in the storage unit 21 in chronological order (step S11). The detection unit 22 divides these images into predetermined block units, and extracts, for example, a luminance gradient as a feature amount for each block (step S12). For each image, the detection unit 22 compares the amount of change in the feature amount in the captured image for each block, and calculates the difference in the change in the feature amount (step S13).

Here, when a pair of blocks whose feature amount change difference is within a preset threshold value TH1 is detected, the detection unit 22 determines that the blocks have symmetrical motion (step S14). Based on the position of the car sill 47, the detection unit 22 detects a block existing on the lower side of the photographed image among the pair of blocks as a mirror image block (step S15).

Specifically, as described with reference to FIG. 6, when the amount of change in the luminance gradient of block b and the amount of change in the luminance gradient of block k are compared between the image of frame N and the image of frame N+1, If the difference in variation is within the threshold TH1, block b and block k are determined as a pair of blocks having symmetrical motion. In this case, since block k exists on the lower side of the captured image, it is detected as a mirror image block.

In this way, when several mirror image blocks recognized as part of the mirror 50 are detected from the captured image, the detection unit 22 generates a mirror area ME on the captured image from the aggregation of the mirror image blocks ( step S16). FIG. 12 shows details of the mirror area generation process executed in step S16.

The detection unit 22 marks a block detected as a mirror image block on the captured image (step S21). At that time, the detection unit 22 counts the number of times each block is detected as a mirror image block (step S22). When the same block is detected as a mirror image block a certain number of times C1 or more (Yes in step S23), the detection unit 22 determines the mirror image block as a part of the mirror 50 (step S24), and A mirror area ME is generated on the photographed image from the set of blocks (step S25).

Specifically, as described with reference to FIG. 9, when a group of mirror image blocks (Mb) defined as part of the mirror 50 forms a rectangular area with a certain ratio or more, the edge of the rectangular area is Based on this, a mirror area ME is generated. Alternatively, as described with reference to FIG. 10, the rectangular area to be searched is expanded on the condition that the mirror image block (Mb) is included at a certain ratio or more, and based on the edge of the finally obtained rectangular area, It is generated as a mirror area ME.

After the mirror area ME is generated on the captured image, the detection unit 22 masks the mirror area ME and performs user detection processing (step S17). As a result, it is possible to accurately count the number of passengers, for example, by performing detection processing on only existing users without erroneously detecting users reflected in the mirror 50 . In the example of FIG. 5, when the user P2 gets into the car 11 when the door is open, the mirror image of the user P2 reflected in the mirror 50 is ignored, and the current image including the user P1 who has already boarded is ignored. The number of passengers can be correctly counted as two.

As described above, according to the present embodiment, the mirror area ME is set to the portion where the mirror 50 is installed, focusing on the portion having symmetrical movement on the captured image. Therefore, it is possible to correctly set the mirror area ME on the photographed image and prevent erroneous detection by the mirror 50 without checking the installation location of the mirror 50 for each property.

In the above embodiment, the case where the door of the car 11 is open has been described as an example, but the same applies when the door of the car 11 is closed. That is, by detecting one of a pair of blocks having a symmetrical movement from the image captured by the camera 12 while the door is closed as a mirror image block, the mirror area ME can be generated from the aggregation of the mirror image blocks. .

Moreover, even when the mirror 50 is installed on the side surface 48a or the side surface 48b, the mirror area ME can be generated by the same method as described above. In this case, when a pair of blocks having symmetrical motion is determined from the photographed image, a block below the car sill 47 and close to the left end or right end of the photographed image is detected as a mirror image block, A mirror area ME can be generated from the aggregate of the mirror image blocks.

Also, in order to increase the likelihood of the detection target, it is also possible to add the speed change amount (strength) of the feature amount. The “feature amount speed change amount” is the speed at which the feature amount changes between frame images. That is, if there is a pair of blocks whose feature values change at the same speed, one of the pair of blocks is detected as a mirror image block.

According to at least one embodiment described above, it is possible to provide an elevator system that can prevent erroneous detection by a mirror by setting a mirror area on a captured image without requiring information about the mirror.

It should be noted that although several embodiments of the invention have been described, these embodiments are provided by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and modifications can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the scope of the invention described in the claims and equivalents thereof.

DESCRIPTION OF SYMBOLS 11... Car, 11a... Curtain board, 12... Camera, 13... Car door, 14... Landing door, 15... Landing place, 16... Floor surface of a landing, 17a, 17b... Three-sided frame, 18... Landing sill, 19... Boarding Car floor 20... Image processing device 21... Storage unit 22... Detection unit 22a... Feature amount extraction unit 22b... Mirror image block detection unit 22c... Mirror area generation unit 22d... Detection processing unit 30... Elevator control device 31 operation control unit 32 door opening/closing control unit 33 notification unit 41a, 41b front pillar 41a-1, 41b-1 inner side surface of front pillar 42a, 42b door pocket 43 -- Indicator, 44 -- Destination floor button, 45 -- Operation panel, 46 -- Speaker, 47 -- Car sill, 48 a, 48 b -- Side, 49 -- Back, 50 -- Mirror, ME -- Mirror area.

Claims (10)

In an elevator system with mirrors installed in the car,
Imaging means for imaging a range including the landing area near the entrance from inside the car;
a feature amount extracting means for extracting a feature amount of the image captured by the imaging means in units of blocks;
A pair of blocks having a symmetrical motion in the image is determined based on changes in the feature amount of the image extracted by the feature amount extraction means, and one of the pair of blocks is detected as a mirror image block. a mirror image block detection means;
and mirror area generation means for generating a mirror area from the collection of the mirror image blocks detected by the mirror image block detection means. The mirror image block detection means includes:
2. The elevator system according to claim 1, wherein one of the pair of blocks is detected as the mirror image block with reference to the position of the sill of the car on the photographed image. The mirror image block detection means includes:
2. The elevator system according to claim 1, wherein a pair of blocks having a difference within a preset threshold when comparing changes in the feature amount of the image on a block-by-block basis is detected. The mirror area generating means includes:
2. The elevator system according to claim 1, wherein when the same block in the image is detected as the mirror image block a predetermined number of times or more, the block is used to generate the mirror area. The mirror area generating means includes:
2. The elevator system according to claim 1, wherein when said mirror image blocks occupy a certain proportion or more of said rectangular area to form a rectangular area, said rectangular area is generated as said mirror area. The mirror area generating means includes:
2. The elevator according to claim 1, wherein a rectangular area to be searched is expanded under the condition that the mirror image blocks are included at a rate equal to or higher than a certain ratio, and the finally obtained rectangular area is generated as the mirror area. system. 2. The elevator system according to claim 1, wherein said feature quantity includes a brightness gradient. 2. The elevator system according to claim 1, wherein the feature quantities include brightness gradients, brightness values, and histograms. 9. The elevator system according to claim 8, wherein a weighting value is set for each of said luminance gradient, said luminance value and said histogram. 10. The elevator system of claim 9, wherein a weighting value for said luminance gradient is set higher than said luminance values and said histogram.

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