KR102633942B1 - Method and electronic device for correcting velocity of object - Google Patents

Abstract

According to various embodiments, an electronic device may include a camera, a memory, and a processor operatively connected to the camera and the memory. According to one embodiment, the processor may check a region of interest set based on an image captured using a camera. The processor may check the first area corresponding to at least one object included in the image. In response to an event in which the identified first region at least partially overlaps the region of interest, the processor may confirm the first time point at which the event occurred. The processor may determine a second point in time at which the identified first region leaves the region of interest. The processor may calculate the first speed of at least one object based on length information of the region of interest and time information from the first viewpoint to the second viewpoint. The processor may correct the first speed based on the second speed actually measured inside at least one object. Various other embodiments may be possible.

Description

Method and electronic device for correcting the velocity of an object {METHOD AND ELECTRONIC DEVICE FOR CORRECTING VELOCITY OF OBJECT}

Various embodiments of the present invention relate to a method for correcting the speed of an object and an electronic device implementing the same.

Recently, various electronic devices (e.g., server devices, management devices) can capture surrounding situations using PTZ cameras (pan-tilt-zoom cameras) (e.g., pan-tilt-zoom cameras). A PTZ camera may include a closed circuit television (CCTV) (e.g., closed circuit television, CCTV device), and an electronic device may acquire image information (e.g., video, image, image) captured using the CCTV. . For example, CCTV can be placed in a specific place at a specific angle, capture images in real time, and transmit the captured images to an electronic device (eg, a server device). The electronic device can control the shooting angle of the camera included in the CCTV and the zoom-in/zoom-out of the lens. Electronic devices can at least partially control the operation and functions of CCTV. CCTV can acquire images captured in real time and transmit the acquired images to an electronic device (eg, a server). Electronic devices can provide images captured using CCTV to users in real time.

An electronic device can at least partially control CCTV and capture images in real time. CCTV can encode captured images and provide them to electronic devices (e.g. servers) through streaming in real time.

The above information may be provided as background art for the purpose of aiding understanding of the present disclosure. No claim or determination is made as to whether any of the foregoing can be applied as prior art to the present disclosure.

Republic of Korea Patent Publication No. 10-2020-0052862 (2020.04.29)

Electronic devices (eg, server devices and/or management devices) may analyze images captured based on CCTV (eg, camera devices, CCTV devices). For example, the electronic device can measure at least one pixel value corresponding to a captured image and analyze the image based on the measured pixel value. Electronic devices can add information related to shooting to images based on OSD (on screen display) technology. For example, when displaying the image through a display, the electronic device may also display information related to capturing the image (eg, information related to a region of interest (ROI)). For example, the region of interest (ROI) may be set to be fixed to the position and area initially set in the image, regardless of the location and shape of the object (e.g., car) included in the image. For example, the region of interest (ROI) may be displayed in a form that at least partially obscures the object and/or background included in the image, or may be displayed in a form that at least partially overlaps the background. When an electronic device displays an image captured using a camera, it may also display a region of interest (ROI).

According to one embodiment, the electronic device may measure the speed of an object (eg, vehicle, automobile) passing through a set area of interest using a captured image. In this case, an error value may occur between the first speed of the object measured using only the captured image and the second speed (eg, actual speed) measured from the object. According to one embodiment, a method and an electronic device for comparing a first speed measured based on an image with a second speed corresponding to the actual speed and correcting the first speed so that the first speed is equal to the actual speed can be provided.

The technical challenges sought to be achieved in this document are not limited to the technical challenges mentioned above, and other technical challenges not mentioned can be clearly understood by those skilled in the art of this document from the description below. There will be.

According to various embodiments, an electronic device can recognize an object (e.g., vehicle, automobile) included in an image captured using CCTV, and the recognized object is a region of interest (e.g., ROI area) set in the image. When it passes at least partially, the speed of the recognized object can be calculated. An electronic device can calculate the speed of an object using only the captured image.

According to various embodiments, the electronic device includes a first speed of the object measured based on the image (e.g., calculated speed based on the image) and a second speed that is the actual speed measured within the object (e.g., a speed measurement program (e.g. : You can compare the actual speed measured by the navigation program. For example, there may be an error value between the first speed and the second speed. According to various embodiments, the electronic device may compare and analyze a first speed measured based on an image and a second speed corresponding to the actual speed, and the first speed may be adjusted so that the first speed is substantially equal to the actual speed. Speed can be corrected. The electronic device can improve the accuracy of the first speed in the process of calculating the first speed.

According to various embodiments, an electronic device may include a camera, a memory, and a processor operatively connected to the camera and the memory. According to one embodiment, the processor may check a region of interest set based on an image captured using a camera. The processor may check the first area corresponding to at least one object included in the image. In response to an event in which the identified first region at least partially overlaps the region of interest, the processor may confirm the first time point at which the event occurred. The processor may determine a second point in time at which the identified first region leaves the region of interest. The processor may calculate the first speed of at least one object based on length information of the region of interest and time information from the first viewpoint to the second viewpoint. The processor may correct the first speed based on the second speed actually measured inside at least one object.

A method for correcting the speed of an object according to various embodiments includes an operation of checking an area of interest set based on an image captured using a camera, an operation of checking a first area corresponding to at least one object included in the image, and confirmation. In response to an event in which the identified first region at least partially overlaps the region of interest, confirming a first time point at which the event occurred, confirming a second time point at which the identified first region is outside the region of interest, An operation of calculating a first speed of at least one object based on length information and time information from a first time point to a second time point, and calculating a first speed based on a second speed actually measured inside the at least one object. It may include a compensating operation.

In various embodiments of the present invention, when an electronic device captures an image using a CCTV, capture-related information (eg, region of interest (ROI)) based on OSD technology may be added to the image. According to one embodiment, the electronic device may measure at least one pixel data (e.g., coordinate information) corresponding to the captured image, and detect coordinate information corresponding to the area of interest based on the measured pixel data. can do. Based on the region of interest, the electronic device can recognize an object passing through the region of interest while at least partially overlapping the region of interest, and calculate the speed of the recognized object.

According to one embodiment, the electronic device may provide an application program that compares and analyzes the first speed of the object calculated using an image and the second speed of the object (eg, actual speed) measured inside the object. The electronic device can check the error between the first speed and the second speed based on the running application program, and measure the speed of the object to be substantially the same as the actual speed by correcting the confirmed error. One embodiment may provide a program in which the first speed is measured to be equal to the actual speed when measuring the speed of an object based on an image captured using CCTV. Electronic devices can measure the speed of an object more accurately using images. In addition, various effects that can be directly or indirectly identified through this document may be provided.

The effects that can be obtained from the present disclosure are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by those skilled in the art from the description below. will be.

In relation to the description of the drawings, identical or similar reference numerals may be used for identical or similar components.
Figure 1 shows a network environment between electronic devices and CCTV according to various embodiments of the present invention.
Figure 2 is a block diagram of an electronic device according to various embodiments of the present invention.
Figure 3 is a flowchart of a method for correcting the first speed of an object calculated based on an image captured using CCTV according to various embodiments of the present invention.
Figure 4 is a diagram illustrating an example in which a region of interest is set in a captured image according to various embodiments of the present invention.
FIG. 5 is a diagram illustrating a first scene in which the calculated first speed of an object is input to a speed correction program according to various embodiments of the present invention.
FIG. 6 is a diagram illustrating a second scene in which the calculated first speed of an object is input into a speed correction program according to various embodiments of the present invention.
FIG. 7 is a diagram illustrating result data in which the first speed of an object is corrected using a speed correction program according to various embodiments of the present invention.

Figure 1 shows a network environment between an electronic device 101 and a CCTV 110 according to various embodiments of the present invention.

Referring to FIG. 1, an electronic device 101 (e.g., a server device, a management device, a cloud server, a computer, and/or a manager device that manages images transmitted from a plurality of CCTVs 110) in a network environment. Can communicate with another electronic device (e.g., CCTV 110) through a first network (e.g., short-range wireless communication network) and a second network (e.g., long-distance wireless communication network). For example, the electronic device 101 may acquire an image 102 captured using the CCTV 110 from the CCTV 110 and analyze the acquired image 102. The electronic device 101 may at least partially control the operation and functions of the CCTV 110. According to one embodiment, there may be a plurality of CCTVs 110, and each CCTV 110 may communicate directly or indirectly with the electronic device 101. According to one embodiment, the electronic device 101 and the CCTV 110 may establish a direct (eg, wired) communication channel or a wireless communication channel, and/or perform communication through the established communication channel. For example, CCTV 110 may include cameras (e.g., pan-tilt-zoom (PTZ) cameras, embedded pan-tilt-zoom (ePTZ) cameras, and/or virtual pan-tilt-zoom (VPTZ) cameras. It may include a camera device (e.g., closed circuit television (CCTV)).

According to one embodiment, the electronic device 101 (eg, a server device) may transmit commands and/or data to the CCTV 110, or may receive commands and/or data from the CCTV 110. The electronic device 101 may exchange data with the CCTV 110 based on wireless communication, or may be directly connected to the CCTV 110 to exchange data (eg, captured image data). For example, the CCTV 110 can capture the external environment while being fixed at a set location, store the captured images 102 in memory, or transmit them to the electronic device 101 in real time. The captured image 102 may include at least one object 103. The electronic device 101 may recognize at least one object 103 based on the image 102 captured by the CCTV 110. The electronic device 101 can obtain captured images by streaming through the CCTV 110 and analyze the captured images in real time.

According to one embodiment, the CCTV 110 may include a camera device (eg, a camera, PTZ camera, ePTZ camera, and/or VPTZ camera) for capturing still images or moving images. The CCTV 110 may include a closed circuit television (CCTV) device and/or an electronic device including a camera capable of changing the shooting direction up/down/left/right. For example, the CCTV 110 can capture a specific area (e.g., external environment) containing at least one object 103 based on the set location and angle of view, and encode the captured image to transmit it to an electronic device ( 101), streaming can be transmitted.

For example, the electronic device 101 may receive streaming of encoded image data transmitted from the CCTV 110, decode the received encoded image data, and display the electronic device 101 (e.g., display The captured image can be displayed through the module (module, display device). For example, the electronic device 101 can run a specific application to play back images captured by the CCTV 110, and play the images captured by the CCTV 110 in real time based on the specific application. .

According to one embodiment, the electronic device 101 can receive images captured in CCTV 110 in real time, and store the captured images in a storage device (e.g., digital video recorder (DVR), digital image storage device). You can save it. According to one embodiment, the electronic device 101 may compare or analyze images received from a plurality of CCTVs 110. For example, the electronic device 101 may acquire a plurality of images taken of the same specific area from different directions, and may display the plurality of acquired images on one screen.

According to one embodiment, the electronic device 101 may set some areas as a region of interest (ROI) based on the image captured by the CCTV 110. The electronic device 101 may set the captured image as a region of interest (ROI). At least one object 103 (e.g., a car) included in can be individually recognized, and a situation (e.g., an event) in which at least one object 103 at least partially overlaps a set region of interest (ROI) can be recognized. It can be detected.

According to one embodiment, the electronic device 101 can analyze a captured image in real time and detect an event in which at least one object 103 overlaps an area of interest. In response to detection of an event, the electronic device 101 may determine a reference point within an overlapping area and check the movement direction, movement time, movement distance, and/or movement speed of the determined reference point. For example, the reference point may include reference coordinate information corresponding to at least one object 103. The electronic device 101 can check the movement distance and movement time of the reference point within the area of interest, and measure the speed with respect to the reference point based on the confirmed movement distance and movement time. The speed with respect to the reference point may mean the speed of the object corresponding to the reference point.

According to one embodiment, the method of calculating the speed of an object using an image is not limited to a specific method, and various methods can be used. According to one embodiment, the electronic device 101 can analyze a captured image and calculate the speed of an object included in the image using various methods.

According to one embodiment, the electronic device 101 can communicate with a plurality of CCTVs 110 and control each of the plurality of CCTVs 110 at least partially. For example, the electronic device 101 can distinguish and display a plurality of images acquired through a plurality of CCTVs 110, and select at least one of the plurality of CCTVs 110 to select a desired captured image. It can be displayed by enlarging or reducing it. According to one embodiment, the electronic device 101 and a plurality of CCTVs 110 may be configured as one system.

According to one embodiment, the electronic device 101 can encode an image captured using the CCTV 110 and obtain image data through the encoding process. The image data may include digital images. For example, CCTV 110 may encode captured image data and transmit streaming to the electronic device 101, and the electronic device 101 may decode the transmitted image data and display a display device (e.g., display). ), display module), the decoded video data can be displayed. According to one embodiment, when displaying image data, the electronic device 101 may also display the speed of the object 103 included in the image data. For example, the electronic device 101 can detect an event in which the object 103 passes while overlapping, and measure the speed of the object 103, based on a region of interest set in the image data. When displaying image data, the electronic device 101 may also display the measured speed of the object 103.

Figure 2 is a block diagram of an electronic device 101 according to various embodiments of the present invention.

According to one embodiment, the electronic device 101 (e.g., a server device, a management device) includes a processor 120, a communication circuit 190, and a memory 130 (e.g., a digital video recorder (DVR), a digital image storage device). ), and may include a camera 180. In some embodiments, in the electronic device 101, at least one of these components may be omitted, or one or more other components may be added. For example, at least one component may be an external device that operates independently. In some embodiments, some of these components may be implemented as a single integrated circuit. Referring to FIG. 2, the electronic device 101 is shown as including a camera 180, but the camera 180 may include a CCTV (eg, CCTV 110 in FIG. 1). For example, the electronic device 101 may be operatively connected to the camera 180 and acquire an image captured using the camera 180.

According to one embodiment, the electronic device 101 may photograph a specific area using a camera 180 (eg, CCTV 110, PTZ camera, ePTZ camera, and/or VPTZ camera). According to one embodiment, the electronic device 101 can photograph a specific area, encode the captured image, and store it in the memory 230 (e.g., a storage device and/or a digital video recorder (DVR)). . According to one embodiment, the memory 230 may include an external storage device (eg, DVR, storage device) functionally connected to the electronic device 101. According to one embodiment, the processor 120 of the electronic device 101 is functionally connected to the CCTV 110 through the communication circuit 190, can perform communication, and captures images captured using the CCTV 110. Image data can be acquired. According to one embodiment, the electronic device 101 may receive image data transmitted from the CCTV 110, decode the received image data, and display the image through a display device (e.g., display, display module). Data can be displayed.

For example, the processor 120 of the electronic device 101 executes software (e.g., a program, application, speed correction program 220) to execute at least one other component (e.g., hardware) connected to the processor 120. or software components) and perform various data processing or operations. According to one embodiment, as at least part of data processing or computation, the processor 120 stores commands or data received from other components (e.g., communication circuit 190, camera 180) in memory 130 (e.g., : Can be saved to DVR (digital video recorder), digital video storage device. According to one embodiment, the processor 120 is a main processor (e.g., a central processing unit (CPU) and/or an application processor (AP)) and/or an auxiliary processor that can operate independently or together with the main processor. May include a processor (e.g., a graphics processing unit (GPU), an image signal processor, a sensor hub processor, and/or a communication processor (CP)). . Additionally or alternatively, a coprocessor may be configured to use less power than the main processor or to specialize in designated functions. The auxiliary processor may be implemented separately from the main processor or as part of it.

According to one embodiment, the processor 120 may include an image processing module 201, and the image processing module 201 may include a graphics processing unit (GPU) and/or an image signal processor. According to one embodiment, the image processing module 201 may analyze a specific image (e.g., a plurality of image frames captured using the camera 180) and at least one pixel data included in the specific image. (Example: pixel value) can be checked. According to one embodiment, the image processing module 201 includes luminance information, brightness information, contrast information, RGB (red-green-blue) information, size information, and At least one piece of information among the top/bottom size information of the specific image can be extracted, and based on the extracted information, shooting-related information included in the captured image (e.g., object (e.g., car), People, boundaries of region of interest (ROI) can be detected. For example, the image processing module 201 may detect at least one object and at least one region of interest (ROI) included in the captured image. For example, a region of interest (ROI) may be set by the user as an arbitrary region or area in a captured image.

According to one embodiment, the image processing module 201 may recognize at least one object and a region of interest based on a specific image (e.g., a plurality of image frames captured using the camera 180), Pixel data (eg, pixel value) corresponding to the at least one object and the region of interest can be confirmed. For example, the image processing module 201 may obtain coordinate information corresponding to each of a plurality of image frames. The image processing module 201 may obtain first coordinate information corresponding to at least one object included in an image frame and second coordinate information corresponding to the region of interest. The image processing module 201 may detect an event (e.g., intersection of union area (IOU) event) in which at least one object at least partially overlaps the region of interest, based on coordinate information for each image frame. . The image processing module 201 may check a situation in which an object is moving within at least one region of interest included in the specific image, based on the measured pixel data.

According to one embodiment, the communication circuit 190 establishes a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device 101 (e.g., a server device) and the CCTV 110 (e.g., a CCTV device). , and/or may support conducting communications through established communication channels. Communication circuitry 190 may operate independently of processor 120 (e.g., an application processor) and may include one or more communication processors (CPs) that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication circuit 190 may include a wireless communication module (eg, a cellular communication module, a short-range wireless communication module, and/or a global navigation satellite system (GNSS) communication module). Communication circuitry 190 may be connected to a first network (e.g., a short-range communication network such as Bluetooth, WiFi direct, or infrared data association (IrDA)) and/or a second network (e.g., a cellular network, the Internet, and/or a computer network (e.g., It is possible to communicate with the CCTV 110 through a long-distance communication network such as LAN or WAN. The communication circuit 190 may be integrated into one component (eg, a single chip), or may be implemented as a plurality of separate components (eg, multiple chips). The communication circuit 190 uses subscriber information (e.g., International Mobile Subscriber Identifier (IMSI)) stored in a subscriber identification module (e.g., SIM card) to detect CCTV (CCTV) within a communication network, such as a first network and/or a second network. 110) can be confirmed and authenticated.

According to one embodiment, the memory 130 may store various data used by at least one component (eg, the processor 120, the camera 180, and/or the image processing module 201). Data may include, for example, input data or output data for software (e.g., programs and/or applications, speed correction program 220) and instructions related thereto. Memory 130 may include volatile memory and/or non-volatile memory. According to one embodiment, when correcting the speed of an object, the memory 130 may store data related to speed correction. For example, the memory 130 may store region-of-interest-related information 211, a speed correction program 220, and/or speed correction-related information 221.

According to one embodiment, when the processor 120 generates image data by encoding a captured image, the processor 120 determines the region of interest included in the captured image based on the region-of-interest related information 211 stored in the memory 130. (ROI) can be checked. For example, the area-of-interest-related information 211 includes the size (e.g. area), location (e.g. coordinate information), slope, actual size, vertical length, horizontal length, diagonal length, and width of the area of interest based on the captured image. , may include at least one piece of information among the widths. According to one embodiment, the area of interest may be arbitrarily set or changed by the user. When the region of interest changes, the processor 120 may update the region-of-interest related information 211 based on the changed region of interest.

According to one embodiment, the region-of-interest-related information 211 may include actual data measured based on the region of interest in an actual external environment corresponding to the captured image. The processor 120 may compare or analyze a first region of interest identified based on a captured image and a second region of interest based on measured actual data. If an error is identified by comparing the first region of interest and the second region of interest, the processor 120 may reflect the identified error based on the first region of interest and update information related to the first region of interest. You can.

According to one embodiment, the processor 120 generates image data of a captured image, based on the speed-related information 213 stored in the memory 130, and selects an object (e.g., a car) included in the captured image. ) can be measured. For example, when an object passes through the area of interest in a manner that at least partially overlaps the area of interest, the processor 120 may check the moving distance and movement time of the object within the area of interest and measure the speed of the object. can do.

According to one embodiment, the processor 120 may utilize the speed correction program 220 when measuring the speed of an object included in a captured image. For example, the processor 120 may calculate the speed of an object passing through a region of interest (ROI) based on the captured image. Meanwhile, the first speed of the object calculated based on the image may have at least a partial error (value) from the second speed of the object actually measured. According to one embodiment, the processor 120 may use a speed correction program 220 to correct the first speed to be substantially the same as the second speed. For example, the second speed may include the actual speed of the object measured using a speed measuring device (eg, navigation device, navigation program) disposed inside the object.

According to one embodiment, the processor 120 may check the first speed input by the user based on the running speed correction program 220. The processor 120 may at least partially correct the first speed using the speed correction-related information 221. For example, the processor 120 may apply a speed correction algorithm to the input first speed based on the speed correction program 220, and calculate the first speed to be similar to the actual speed. 1 Speed can be corrected. The processor 120 may update the speed correction algorithm when the corrected first speed is calculated to be similar to the actual speed within a set error range.

According to one embodiment, when executing the speed correction program 220, the processor 120 may apply a speed correction algorithm to the calculated first speed of the object and correct the first speed to be similar to the actual speed. there is.

According to one embodiment, the processor 120 of the electronic device 101 can acquire images captured using the camera 180 in real time and analyze the acquired images. The processor 120 may recognize at least one object 103 included in the image and calculate the first speed of the recognized object 103. The processor 120 can execute a speed correction program 220 installed in the memory 130 and use the speed correction program 220 to at least partially correct the calculated first speed. For example, the processor 120 may correct the first speed so that the first speed is measured to be substantially similar to the second speed (eg, actual speed) actually measured within the object. When correcting the first speed, the processor 120 may at least partially correct length information (eg, size, size) of the region of interest set based on the captured image. According to one embodiment, the electronic device 101 may provide the user with a speed correction program 220 so that the speed of the object calculated using the image is measured to be similar to the actual speed.

Figure 3 is a flowchart of a method for correcting the first speed of an object calculated based on an image captured using CCTV according to various embodiments of the present invention.

In the following embodiments, each operation may be performed sequentially, but is not necessarily performed sequentially. For example, the order of each operation may be changed, and at least two operations may be performed in parallel.

According to one embodiment, operations 301 to 313 will be understood as being performed by a processor (e.g., processor 120 of FIG. 2) of an electronic device (e.g., electronic device 101 of FIGS. 1 and 2). You can.

The electronic device 101 of FIG. 3 may be at least partially similar to the electronic device 101 of FIGS. 1 and 2 or may further include other embodiments of the electronic device. The electronic device 101 may acquire a captured image (e.g., a plurality of image frames) using an operatively connected camera (e.g., the camera 180 of FIG. 2), and based on the captured image, A set region of interest (ROI) and at least one object (e.g., vehicle, automobile) can be recognized. The electronic device 101 may detect an event in which a recognized object at least partially overlaps a region of interest (ROI) (e.g., an intersection of union area (IOU) event), and the object moves within the region of interest. Depending on the situation, the speed of the object can be measured.

In operation 301, the processor 120 may set at least one region of interest based on an image (eg, image frame) captured using the camera 180. For example, the processor 120 may set at least one region of interest in a captured image and check coordinate information related to the at least one region of interest. For example, coordinate information related to the region of interest may be stored as region-of-interest related information 211 in a memory (eg, memory 130 in FIG. 2). Coordinate information related to the region of interest may include coordinate information corresponding to boundary lines, vertices, corners, sides, and internal areas of the region of interest.

In operation 303, the processor 120 may identify a first area corresponding to an object (eg, car, vehicle) included in the image. For example, the processor 120 can identify an object included in an image and recognize the area occupied by the object within the image as the first area. The processor 120 may check coordinate information corresponding to the first area. For example, coordinate information corresponding to the first area may include a set boundary line of the first area. For example, when an object moves per unit time, the size and location of the first area may also change. According to one embodiment, the processor 120 may check a situation in which the position of the first area changes based on a plurality of captured images (image frames), and determine the movement direction of the first area and the first area. You can check the speed of .

In operation 305, the processor 120 may identify an event (e.g., an intersection of union area (IOU) event) in which the identified first area (e.g., object, vehicle, automobile) at least partially overlaps the area of interest. For example, a region of interest may remain fixed at a set location within the image. The region of interest may be set as a fixed area in each of a plurality of images. For example, if the captured image corresponds to a part of a road along which a car (eg, an object) moves, a part of the road may be set as an area of interest. The processor 120 detects an event (e.g., IOU event) in which an object at least partially overlaps the area of interest, based on first coordinate information corresponding to the first area and second coordinate information corresponding to the area of interest. You can.

According to one embodiment, the electronic device 101 may determine a first reference point among coordinate information included in the first area in response to a first time point at which an event is detected. For example, the first reference point may include coordinate information indicating the location of the object corresponding to the first area. The electronic device 101 may track the movement of the determined first reference point based on a plurality of captured image frames. The electronic device 101 may determine whether the first reference point is located within the area of interest or outside the area of interest. According to one embodiment, the electronic device 101 may confirm a second viewpoint at which the first reference point is outside the range of the region of interest.

In operation 307, the processor 120 may check the movement distance and movement time of the object based on the first time point when the event is confirmed and the second time point when the first area (eg, first reference point) is outside the area of interest. For example, the first time point may be a time point when an event where the first area overlaps with the area of interest is confirmed, and the second time point may be a time point when an event where the first reference point deviates from the area of interest is confirmed. For example, a first reference point may be set in a first area containing an object, and the movement distance and movement time of the object may be measured based on the first reference point. The first reference point may be moved in the same manner as the object, along the direction in which the object moves. The processor 120 may check first coordinate data of the first reference point set at the first viewpoint and check second coordinate data of the first reference point moved at the second viewpoint. The movement distance of the object may include the distance from the first coordinate data at the first viewpoint to the second coordinate data at the second viewpoint, and the movement time of the object may include the time interval from the first viewpoint to the second viewpoint. can do. According to one embodiment, the first reference point includes coordinate information within the first area containing the object and may be set as coordinate data indicating the location of the object.

In operation 309, the processor 120 may measure the first speed of the object based on the movement distance and movement time. For example, the processor 120 may measure the first speed of the object by dividing the moving distance of the object by the moving time of the object. According to one embodiment, the processor 120 may calculate the first speed of the object based on the captured image. For example, the calculated first speed may at least partially differ from the actual moving speed of the object.

In operation 311, the processor 120 calculates the first speed of the object calculated based on the image and the actual measured speed within the object based on the speed correction program (e.g., the speed correction program 220 of FIG. 2). measured) The second speed corresponding to the actual speed can be compared. For example, the electronic device 101 may have the speed correction program 220 installed in its memory (e.g., memory 130 in FIG. 2) and the speed correction program 220 may be executed. The processor 120 may compare the first speed (e.g., the speed calculated based on the image) and the second speed (e.g., the actual speed measured within the object) based on the running speed correction program 220. . For example, the first speed may include a speed value calculated based on the object shown in the image, and the second speed may be calculated using a speed measurement program (e.g. navigation) inside the object. May contain measured speed values (e.g. actual speed). The processor 120 may compare the first speed calculated using the speed correction program 220 with the second speed input by the user.

According to another example, the electronic device 101 may be operatively connected to an external electronic device in which a speed measurement program inside an object is installed. For example, at the time when the first speed is calculated by the speed correction program 220, the second speed (eg, actual speed) of the object may be measured inside the object based on the speed measurement program. The speed measurement program may be installed in an external electronic device and measure the second speed (e.g., actual speed) of the object using the object's location information (e.g., GPS information, GPS data). For example, the external electronic device may provide the second speed to the electronic device 101 in response to a request signal from the operatively connected electronic device 101 . According to another example, the electronic device 101 may compare and analyze the first speed calculated based on the captured image and the second speed provided from the external electronic device.

In operation 313, the processor 120 may correct the calculated value of the first speed based on the second speed corresponding to the actual speed. For example, the processor 120 may apply a speed correction algorithm based on the speed correction program 220 to the first speed, and may correct the first speed to be similar to the second speed corresponding to the actual speed. According to one embodiment, the electronic device 101 may provide a method for correcting the first speed so that the first speed calculated using the image is measured to be substantially similar to the actual speed (e.g., the second speed). . The accuracy of the calculated value of the first speed can be improved.

According to one embodiment, the electronic device 101 may store the speed algorithm applied to the first speed in the memory 130 and update the existing speed correction algorithm at least partially. Referring to FIG. 3, in operation 309, the electronic device 101 may at least partially correct the calculated first speed based on an updated speed correction algorithm. In this case, operations 311 to 313 may be omitted, and the electronic device 101 may correct the first speed to be similar to the actual speed by applying the updated speed correction algorithm to the first speed.

Figure 4 is a diagram illustrating an example in which a region of interest is set in a captured image according to various embodiments of the present invention.

The electronic device 101 of FIG. 4 may be at least partially similar to the electronic device 101 of FIGS. 1 and 2 or may further include other embodiments of the electronic device. The electronic device 101 may acquire a captured image using an operatively connected camera (e.g., the camera 180 of FIG. 2) and, based on the captured image, determine at least one region of interest (ROI). of interest) (410) can be set.

Referring to FIG. 4 , the processor of the electronic device 101 (e.g., the processor 120 of FIG. 2 ) may set a certain area as the area of interest 410 based on an image captured using a camera. For example, the captured image is an image that includes a roadway, and a partial area of the roadway may be set as the area of interest 410. According to one embodiment, the processor 120 may set a partial area of the roadway as the area of interest 410 and measure the speed of a vehicle (e.g., an object) 430 passing through the area of interest 410. . For example, the object 430 included in the image may at least partially pass through the region of interest 410 along the road direction 420 (eg, the first direction).

Referring to FIG. 4 , the area of interest 410 may be set based on the first road width 411 and the first road length 412. For example, the first road width 411 and the first road length 412 may be measured by the user. The area of interest 410 appears to have a trapezoidal shape based on the captured image, but may actually have a rectangular shape. According to one embodiment, when the electronic device 101 executes a speed correction program (e.g., the speed correction program 220 of FIG. 2) installed in a memory (e.g., the memory 130 of FIG. 2), the set region of interest ( 410), corresponding length information (e.g., first road width 411 and first road length 412) can be input, and the first speed of the object 430 can be calculated based on the length information. You can. According to one embodiment, the electronic device 101 may detect an event in which the object 430 passes through the region of interest 410, and in response to detection of the event, calculate the first speed of the object 430. You can. The electronic device 101 may calculate the first speed of the object 430 based on the speed correction program 220.

FIG. 5 is a diagram illustrating a first scene in which the calculated first speed of an object is input to a speed correction program according to various embodiments of the present invention. FIG. 6 is a diagram illustrating a second scene in which the calculated first speed of an object is input into a speed correction program according to various embodiments of the present invention.

The electronic device 101 of FIGS. 5 and 6 may be at least partially similar to the electronic device 101 of FIGS. 1 and 2 or may further include other embodiments of the electronic device. The electronic device 101 may acquire a captured image (e.g., a plurality of image frames) using an operatively connected camera (e.g., the camera 180 of FIG. 2), and based on the captured image, At least one region of interest (ROI) 410 can be set.

Referring to FIG. 5 , the processor 120 of the electronic device 101 may set a certain area as a region of interest (ROI) 410 based on the captured image. For example, the processor 120 may obtain coordinate information corresponding to the region of interest 410. Coordinate information corresponding to the region of interest 410 may include absolute coordinate information whose position is fixed within the image frame. The captured image (e.g., a plurality of image frames) includes an image captured using a CCTV (e.g., camera 180) fixedly installed at a specific location, and the angle of view corresponding to the image may be kept constant. A substantially identical region of interest 410 may be set for each of a plurality of image frames. The processor 120 may recognize at least one object (e.g., the object 430 of FIG. 4) in addition to the area of interest 410. The processor 120 may recognize an area (e.g., an area corresponding to the at least one object 403). coordinate information) can be recognized.

The processor 120 may execute a speed correction program (e.g., the speed correction program 220 of FIG. 2) stored in a memory (e.g., the memory 130 of FIG. 2) and display a user interface (UI, user interface) related to speed correction. interface) (510) can be displayed. For example, in a situation where a captured image is displayed, the electronic device 101 may display the user interface 510 in a form that at least partially overlaps the image.

For example, the user interface 510 displays information related to the setting of the region of interest 410 (e.g., selection option 511 (Region) among a plurality of regions of interest (e.g., Region1, Region2, Region3, Region4), An option to determine whether to display the area (Enable), an input option 513 for length information of the area of interest 410 (Distance), an option related to changing the position of the area of interest 410 (Position), and the calculated speed. A correction option 515 (Correction) may be included. The processor 120 may check the user input for the selection option 511 included in the user interface 510 and determine the region of interest 410 according to the user input. A plurality of areas of interest 410 may be set in the captured image, and at least one of the plurality of areas of interest may be determined. The processor 120 may determine whether to display the determined region of interest 410 in response to a user input for the option (Enable). The processor 120 may check length information (e.g., horizontal length 411 and vertical length 412) for the region of interest 410 based on the input option 513. For example, information entered into the input option 513 may include length information entered by the user. The “7 Horizontal” value in the input option 513 means that the horizontal length 411 of the area of interest 410 is about 7 m, and the value “40 Vertical” in the input option 513 means the area of interest 410. This may mean that the vertical length 412 is about 40 m. For example, the length information entered into the input option 513 may be in “m (meter)” units. The processor 120 may determine whether to correct the calculated speed (eg, the first speed calculated based on the captured image) in response to the user input for the correction option 515.

Referring to FIG. 5, the processor 120 determines a first region of interest 410 among a plurality of regions of interest through the user interface 510, and selects the determined first region of interest 410 within the captured image. can be displayed (e.g. select Enable: “Show”). For example, the first region of interest 410 may be shown or omitted in the captured image depending on the setting of the “Enable” option. The processor 120 may check length information 513 (e.g., Horizontal length 411: approximately 7 m, Vertical length 412: approximately 40 m) for the first region of interest 410, and , the confirmed length information 513 can be reflected in the speed correction program 220.

Referring to FIG. 5, the information input from the user interface 510 is reflected in the speed correction program 220, and the processor 120 selects the first image for the object that passed the first region of interest 410 (ROI 1). The speed can be calculated as “84KM/H”. The processor 120 may display the calculated first speed for the object as a notification message 520.

According to one embodiment, the electronic device 101 may execute a speed correction program 220 based on information input through the user interface 510 and perform a first correction for an object passing through the first region of interest 410. 1 speed can be calculated. The electronic device 101 may display the first speed calculated based on the speed correction program 220 as a notification message 520.

Referring to FIG. 6 , a first user interface 601 (eg, user interface 510 of FIG. 5 ) and a second user interface 602 displayed based on the speed correction program 220 are shown. After correction information is input in the second user interface 602, the 1-1 user interface 603 is displayed.

The processor 120 may display the first user interface 601 in response to execution of the speed correction program 220. The processor 120 may output a second user interface 602 in response to an input 611 for a correction option (Correction) included in the first user interface 601. Length information (e.g., Horizontal length 411: approximately 7 m, Vertical length 412: approximately 40 m) for the set region of interest (ROI region) is entered into the first user interface 601. It can be. The electronic device 101 may calculate the speed of an object (eg, vehicle, automobile) passing through a set area of interest. For example, the second user interface 602 may be output in the form of a pop-up window.

Referring to FIG. 6 , the second user interface 602 may include options for correcting the first speed calculated based on the region of interest 410 . For example, a first option 621 for inputting the moving direction of the object (e.g., horizontal direction, vertical direction), a second speed actually measured inside the object using a speed measurement program ( Example: a second option 622 for entering the actual speed (e.g. about 40 Km/h), a third option 623 for entering the first speed calculated based on the image (e.g. about 80 Km/h) ), and a button 624 for correcting the length information of the region of interest by applying the input first speed (e.g., about 80 Km/h), second speed (e.g., about 40 Km/h), and movement direction. can do. For example, the first option 621, the second option 622, and the button 624 may include information input by the user. The third option 623 may include a first speed calculated based on the captured image based on the speed correction program 220. Referring to FIG. 6, in response to an input of a button 624 in the second user interface 602, the 1-1 user interface 603 may be displayed. For example, comparing the first user interface 601 and the 1-1 user interface 603, the first length information 631 for the region of interest (e.g., about 7 m in width and about 40 m in height) The speed correction algorithm may be reflected and corrected as second length information 632 (e.g., horizontal length of approximately 7 m, vertical length of approximately 19 m). According to one embodiment, the electronic device 101 can accurately measure the speed of an object based on the second length information 632.

Based on the first option 621, the processor 120 determines whether the object passing through the area of interest 410 moves in the horizontal direction or moves in the vertical direction based on the area of interest 410. You can check whether it is working or not. Based on the second option 622, the processor 120 may check the actually measured second speed (e.g., actual speed) using a speed measurement program (e.g., navigation program) inside the object. Based on the third option 623, the processor 120 may check the first speed (eg, calculated speed) of the object calculated based on the captured image. When an input to the button 624 is detected, the processor 120 at least partially corrects the length information of the region of interest based on the first option 621, the second option 622, and the third option 623. can do. The processor 120 can measure the first speed substantially similar to the second speed by accurately correcting the length information of the area of interest, using the area of interest. The processor 120 may measure the first speed (eg, calculated speed) of the object to be substantially the same as the actual speed, based on a speed correction algorithm.

Referring to FIG. 6, the processor 120 determines that the object is moving in the vertical direction based on the first option 621, and determines the second speed of the object measured using a speed measurement program (e.g., a navigation program). It can be confirmed that is about 40Km/h, and the first speed of the object calculated based on the captured image is about 84Km/h. According to one embodiment, the processor 120 may apply a speed correction algorithm to the first speed based on the speed correction program 220, and may correct the first speed to be similar to the second speed, which is the actual measured speed. there is. For example, the processor 120 may compare the second speed corresponding to the actual measured speed with the first speed that is the calculated speed, and based on the second speed, the vertical of the region of interest (ROI) 410 ) The length can be corrected. Referring to the 1-1 user interface 603, first length information 631 (e.g., horizontal length about 7 m, vertical length about 40 m) about the region of interest is divided into second length information 632 (e.g., horizontal length It can be corrected to approximately 7m and vertical length of approximately 19m). Referring to the first user interface 601, the vertical length of the region of interest 410 is input as about 40 m, and the processor 120 calculates the value based on the difference between the first speed and the second speed, In the 1-1 user interface 603, the vertical length of the region of interest 410 can be corrected to about 19 m. The processor 120 may correct length information (eg, horizontal length, vertical length) of the region of interest 410 based on the difference value between the first speed and the second speed. According to one embodiment, the electronic device 101 calculates the first speed (e.g., calculated speed) of the object to be substantially the same as the actual speed based on a speed correction algorithm in which the second length information 632 is reflected. You can.

FIG. 7 is a diagram illustrating result data in which the first speed of an object is corrected using a speed correction program according to various embodiments of the present invention.

The electronic device 101 of FIG. 7 may be at least partially similar to the electronic device 101 of FIGS. 1 and 2 or may further include other embodiments of the electronic device. The electronic device 101 may acquire a captured image using an operatively connected camera (e.g., the camera 180 of FIG. 2) and, based on the captured image, determine at least one region of interest (ROI) ( 410) can be set.

Referring to FIG. 7, the electronic device 101 uses a speed correction program (e.g., the speed correction program 220 of FIG. 2) to obtain length information (e.g., horizontal length, vertical length) of the region of interest 410. It may be in a corrected state. For example, in FIG. 6, the processor 120 determines a first speed (e.g., the first speed of an object calculated based on a captured image) and a second speed (e.g., a speed measurement program inside the object (e.g., a navigation program) The length information of the region of interest 410 can be corrected based on the difference value between the actually measured second speeds using . For example, the first length information 631 about the region of interest in the first user interface 601 may be corrected with the second length information 632 about the region of interest in the 1-1 user interface 603. You can. When the difference between the first speed and the second speed exceeds a set threshold, the processor 120 of the electronic device 101 may correct or update the length information of the region of interest 410. The processor 120 may reflect the corrected or updated length information in the speed correction algorithm.

Referring to FIG. 7, it shows a situation in which the first speed of an object (e.g., a car) is calculated and information 720 about the first speed is output while the length information of the region of interest 410 is corrected. do. For example, in the first user interface 601 of FIG. 6, the area of interest 410 may be about 7 m in horizontal length and about 40 m in vertical length. In the process of correcting the first speed to be similar to the second speed in the second user interface 602 of FIG. 6, the processor 120 determines the vertical length of the region of interest 410 (e.g., corresponding to the moving direction of the object). length information) can be corrected from about 40m to about 19m. Referring to the 1-1 user interface 603 of FIG. 6, the first length information 631 may be corrected to the second length information 632. In FIG. 7, the processor 120 can calculate the first speed of the object (e.g., the first speed of the object calculated based on the captured image) with the vertical length of the region of interest 410 corrected to about 19 m. there is. The processor 120 may output the calculated first speed through the display in the form of a notification message 720.

According to one embodiment, the processor 120 of the electronic device 101 can acquire images captured using the camera 180 in real time and analyze the acquired images. The processor 120 may recognize at least one object 103 included in the image and calculate the first speed of the recognized object 103. The processor 120 can execute a speed correction program 220 installed in the memory 130 and use the speed correction program 220 to at least partially correct the calculated first speed. The processor 120 may correct length information (e.g., horizontal length, vertical length) for a set region of interest using the speed correction program 220, and based on the length information for the corrected region of interest, The first speed of an object passing through the area of interest can be corrected. For example, the processor 120 may correct the first speed so that the first speed is measured to be substantially similar to the second speed (eg, actual speed) actually measured within the object. When correcting the first speed, the processor 120 may at least partially correct length information (eg, size, size, horizontal length, and vertical length) of the region of interest set based on the captured image. According to one embodiment, the electronic device 101 may provide the user with a speed correction program 220 so that the speed of the object calculated using the image is measured to be similar to the actual speed.

Electronic devices according to various embodiments disclosed in this document may be of various types. Electronic devices may include, for example, portable communication devices (e.g., smartphones), computer devices, portable multimedia devices, portable medical devices, cameras, wearable devices, or home appliances. Electronic devices according to embodiments of this document are not limited to the above-described devices.

The various embodiments of this document and the terms used herein are not intended to limit the technical features described in this document to specific embodiments, and should be understood to include various changes, equivalents, or replacements of the embodiments. In connection with the description of the drawings, similar reference numbers may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the above items, unless the relevant context clearly indicates otherwise. As used herein, “A or B”, “at least one of A and B”, “at least one of A or B”, “A, B or C”, “at least one of A, B and C”, and “A Each of phrases such as “at least one of , B, or C” may include any one of the items listed together in the corresponding phrase, or any possible combination thereof. Terms such as "first", "second", or "first" or "second" may be used simply to distinguish one component from another, and to refer to that component in other respects (e.g., importance or order) is not limited. One (e.g., first) component is said to be “coupled” or “connected” to another (e.g., second) component, with or without the terms “functionally” or “communicatively.” When mentioned, it means that any of the components can be connected to the other components directly (e.g. wired), wirelessly, or through a third component.

The term “module” used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and is interchangeable with terms such as logic, logic block, component, or circuit, for example. It can be used as A module may be an integrated part or a minimum unit of the parts or a part thereof that performs one or more functions. For example, according to one embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of the present document are one or more instructions stored in a storage medium (e.g., built-in memory 136 or external memory 138) that can be read by a machine (e.g., electronic device 101). It may be implemented as software (e.g., program 140) including these. For example, a processor (e.g., processor 120) of a device (e.g., electronic device 101) may call at least one command among one or more commands stored from a storage medium and execute it. This allows the device to be operated to perform at least one function according to the at least one instruction called. The one or more instructions may include code generated by a compiler or code that can be executed by an interpreter. A storage medium that can be read by a device may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' only means that the storage medium is a tangible device and does not contain signals (e.g. electromagnetic waves), and this term refers to cases where data is semi-permanently stored in the storage medium. There is no distinction between temporary storage cases.

According to one embodiment, methods according to various embodiments disclosed in this document may be provided and included in a computer program product. Computer program products are commodities and can be traded between sellers and buyers. The computer program product may be distributed in the form of a machine-readable storage medium (e.g. compact disc read only memory (CD-ROM)) or through an application store (e.g. Play StoreTM) or on two user devices (e.g. It can be distributed (e.g. downloaded or uploaded) directly between smart phones) or online. In the case of online distribution, at least a portion of the computer program product may be at least temporarily stored or temporarily created in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

According to various embodiments, each component (e.g., module or program) of the above-described components may include a single or plural entity, and some of the plurality of entities may be separately placed in other components. there is. According to various embodiments, one or more of the components or operations described above may be omitted, or one or more other components or operations may be added. Alternatively or additionally, multiple components (eg, modules or programs) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each component of the plurality of components in the same or similar manner as those performed by the corresponding component of the plurality of components prior to the integration. . According to various embodiments, operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, or omitted. Alternatively, one or more other operations may be added.

In addition, the embodiments of the present invention disclosed in the specification and drawings are merely provided as specific examples to easily explain the technical content according to the embodiments of the present invention and to aid understanding of the embodiments of the present invention, and limit the scope of the embodiments of the present invention. It is not intended to be limiting. Therefore, the scope of the various embodiments of the present invention should be interpreted as including all changes or modified forms derived based on the technical idea of the various embodiments of the present invention in addition to the embodiments disclosed herein.

101: electronic device 120: processor
130: Memory 180: Camera
190: Communication circuit 201: Image processing module
211: Area of interest related information 220: Speed correction program
221: Speed correction related information

Claims (20)

In electronic devices,
camera;
Memory; and
a processor operatively coupled to the camera and the memory;
The processor,
Confirm the area of interest set based on the image captured using the camera,
Confirming a recognized first area based on the area occupied by at least one object in the image,
In response to an event in which the identified first region at least partially overlaps the region of interest, confirming a first time point at which the event occurred,
Confirming a second point in time at which the identified first region leaves the region of interest,
Calculating a first speed of the at least one object based on length information corresponding to the region of interest and time information from the first viewpoint to the second viewpoint,
Inside the at least one object, check the actually measured second speed of the at least one object using a speed measurement program,
An electronic device that corrects the first speed of the at least one object based on the confirmed second speed. According to claim 1,
The processor,
In response to the occurrence of the event, an electronic device that determines a first reference point based on coordinate information included in the first area at the first viewpoint. According to claim 2,
The processor,
Check whether the determined first reference point is outside the region of interest,
An electronic device that checks the second viewpoint in response to a situation where the first reference point leaves the region of interest. According to claim 3,
The processor,
An electronic device that calculates the movement time of the at least one object based on the first viewpoint and the second viewpoint. According to claim 4,
The processor,
An electronic device that calculates the first speed of the at least one object based on length information along a movement path of the first area in the area of interest and the movement time for the at least one object. According to claim 1,
The processor,
Confirming the actually measured second speed using a speed measurement program installed in the at least one object,
An electronic device that at least partially corrects length information corresponding to the region of interest based on the calculated first speed and the confirmed second speed. According to claim 6,
The speed measurement program determines the second speed corresponding to the actual speed of the at least one object based on location information corresponding to the at least one object. According to claim 1,
The processor,
Based on the difference between the first speed and the second speed, correct the length information corresponding to the region of interest,
An electronic device that calculates the first speed of the at least one object based on the corrected length information of the region of interest. According to claim 1,
The length information of the region of interest includes a horizontal length and a vertical length of the region of interest. According to claim 1,
The camera includes a closed circuit television (CCTV) operatively connected to the electronic device,
An electronic device wherein the at least one object includes at least one vehicle. In the object speed correction method,
An operation to check a set area of interest based on an image captured using a camera;
Confirming a recognized first area based on an area occupied by at least one object in the image;
In response to an event in which the identified first region at least partially overlaps the region of interest, confirming a first time point when the event occurs;
Confirming a second point in time at which the identified first region leaves the region of interest;
calculating a first speed of the at least one object based on length information corresponding to the region of interest and time information from the first viewpoint to the second viewpoint;
Checking, within the at least one object, a second speed of the at least one object actually measured using a speed measurement program; and
correcting the first speed of the at least one object based on the confirmed second speed; How to include . According to claim 11,
In response to the occurrence of the event, determining a first reference point based on coordinate information included in the first area at the first viewpoint; How to include more. According to claim 12,
Checking whether the determined first reference point is outside the region of interest; and
An operation of confirming the second viewpoint in response to a situation where the first reference point leaves the region of interest; How to include more. According to claim 13,
calculating a movement time of the at least one object based on the first viewpoint and the second viewpoint; How to include more. According to claim 14,
calculating the first speed of the at least one object in the area of interest based on length information along a movement path of the first area and the movement time for the at least one object; How to include more. According to claim 11,
The operation of correcting the first speed is,
An operation of checking the actually measured second speed using a speed measurement program installed in the at least one object; and
An operation of at least partially correcting length information corresponding to the region of interest based on the calculated first speed and the confirmed second speed; How to include . According to claim 16,
The speed measurement program is characterized in that it checks the second speed corresponding to the actual speed of the at least one object based on position information corresponding to the at least one object. According to claim 11,
The operation of calculating the first speed is,
correcting the length information corresponding to the region of interest based on the difference between the first speed and the second speed; and
calculating the first speed of the at least one object based on the corrected length information of the region of interest; How to include . According to claim 11,
The length information of the region of interest includes a horizontal length and a vertical length of the region of interest. According to claim 11,
The method of claim 1, wherein the camera includes a closed circuit television (CCTV), and the at least one object includes at least one vehicle.

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