JP5924054B2 - Program, information processing apparatus and information processing method - Google Patents

Description

  The present invention relates to a program using an information processing device, an information processing device, and an information processing method.

  Conventionally, many traffic monitoring apparatuses that perform vehicle recognition using a millimeter wave radar or a camera have been proposed (see, for example, Patent Documents 1 to 3). These install a millimeter wave radar or camera on the road to recognize vehicles or license plates.

JP 2007-257536 A JP 2004-258991 A JP 2002-318533 A

  However, one lane or more lanes are mixed on the road, and there is a problem that the installer has to set the number of lanes when installing the traffic monitoring device at the site.

  The present invention has been made in view of such circumstances. The purpose is to provide a program or the like that can save the installer the trouble of setting the number of lanes when installing the apparatus.

The program disclosed in the present application is obtained by acquiring a plurality of coordinates at different times of the same license plate recognized from a captured image by a computer having a control unit up to a numerical value stored in advance for a plurality of types of license plates. When the control unit calculates the intercept value of each license plate based on the plurality of coordinates, the number of lanes is determined based on the distribution of the plurality of intercept values calculated by the control unit , and the number of lanes is determined to be two lanes In addition, the control unit acquires a plurality of coordinates of the two-wheeled vehicle license plate recognized from the captured image by the control unit, and among the acquired coordinates, the maximum value of the first coordinate system along the lane width direction of the captured image , And based on the extracted maximum value, the control unit executes a process of changing a region for dividing the lane .

  According to one aspect of the present application, it is possible to omit the time and effort for the installer to set the number of lanes when installing the apparatus.

It is explanatory drawing which shows the outline | summary of a measurement system. It is a block diagram which shows the hardware group of information processing apparatus. It is explanatory drawing which shows the image of a captured image. It is explanatory drawing which shows the record layout of a history file. It is a graph which shows the example which judges the number of lanes by the number of mountains. It is a flowchart which shows the procedure of a memory | storage process. It is a flowchart which shows the procedure of a lane number determination process. It is a flowchart which shows the process sequence at the time of calculating a moving direction. It is a flowchart which shows the process sequence at the time of calculating a moving direction. FIG. 10 is an explanatory diagram showing a record layout of a history file according to the third embodiment. It is a flowchart which shows the procedure of an area | region change process. 10 is a flowchart illustrating a procedure of movement direction calculation processing according to the fourth embodiment. It is a functional block diagram which shows operation | movement of the information processing apparatus of the form mentioned above. FIG. 10 is a block diagram illustrating a hardware group of an information processing device according to a fifth embodiment.

Embodiment 1
Hereinafter, embodiments will be described with reference to the drawings. FIG. 1 is an explanatory diagram showing an outline of a measurement system. The measurement system includes an information processing apparatus 1, an imaging apparatus 2, a monitoring apparatus 3, and the like that are connected to each other via a communication network N such as the Internet, a LAN (Local Area Network), and a public telephone network. The information processing apparatus 1 is, for example, a personal computer, a PDA (Personal Digital Assistance), or a dedicated control apparatus, and is installed on an overpass or on the side of a road. The imaging device 2 is a video camera and outputs the captured image to the information processing device 1 arranged adjacent to the imaging device 2. Note that the imaging device 2 (hereinafter referred to as the camera 2) and the information processing device 1 may be integrated. Further, the camera 2 may be installed on an overpass that crosses the road, and the information processing apparatus 1 may be installed on the side of the road.

  The monitoring device 3 is a server computer or a personal computer, for example, and stores the license plate number of the vehicle recognized by the information processing device 1. As shown in FIG. 1, one or more lanes are mixed. In the present embodiment, for ease of explanation, it is assumed that there are two types of one lane and two lanes. The information processing apparatus 1 determines the number of lanes based on the distribution of intercept values of license plates of a plurality of vehicles. The information processing device 1 transmits the determined number of lanes to the monitoring device 3 (hereinafter referred to as personal computer 3). Details will be described below.

  FIG. 2 is a block diagram illustrating a hardware group of the information processing apparatus 1. The information processing apparatus 1 includes a CPU (Central Processing Unit) 11, a RAM (Random Access Memory) 12, an input unit 13, a display unit 14, a storage unit 15, a communication unit 16, a clock unit 18, an image acquisition unit 19, and the like. The CPU 11 is connected to each part of the hardware via the bus 17. The CPU 11 controls each part of the hardware according to the control program 15P stored in the storage unit 15. The RAM 12 is, for example, SRAM (Static RAM), DRAM (Dynamic RAM), flash memory, or the like. The RAM 12 temporarily stores various data generated when the CPU 11 executes various programs.

  The input unit 13 is an operation button, a mouse, a keyboard, a touch panel, or the like, and outputs input information to the CPU 11. The display unit 14 is, for example, a liquid crystal display or an organic EL (electroluminescence) display, and displays necessary information under the control of the CPU 11. Note that the input unit 13 and the display unit 14 are not necessarily provided. The communication unit 16 is a wired or wireless LAN card or the like, and transmits / receives information to / from the personal computer 3 by HTTP (HyperText Transfer Protocol) or the like. The clock unit 18 outputs date information to the CPU 11. The image acquisition unit 19 is a frame memory, for example, and outputs an image output from the camera 2 to the CPU 11. The storage unit 15 is, for example, a large-capacity flash memory or a hard disk, and stores the control program 15P, the history file 151, the setting file 152, and the like.

  FIG. 3 is an explanatory diagram showing an image of a captured image. The image acquisition unit 19 acquires, for example, 30 images per second and outputs them to the CPU 11. As shown in FIG. 3, in this embodiment, the lower left of the screen is the origin, the direction increasing in the right lateral direction is the X-axis positive direction, and the direction increasing upward is the Y-axis positive direction. The X axis as the first coordinate system is 0 to 1600 pixels, and the Y axis as the second coordinate system is 0 to 1200 pixels. In addition, the numerical value shown by this embodiment is an example, and is not restricted to this. In this embodiment, the image is divided into three regions. The CPU 11 recognizes the license plate in each area. In the example of FIG. 3, the license plates of the vehicles A and B traveling on the two-lane road are recognized in each of the regions 1, 2, and 3.

  Region 1 is a region including the maximum coordinate of the Y axis, and region 3 is a region including the minimum coordinate of the Y axis. In calculating the intercept value, the region 1 and the region 3 in which the distance between the regions is the largest are used. In addition, although the form which uses the area | region 1 and the area | region 3 is shown in this embodiment, it is not restricted to this. Region 1 and region 2 or region 2 and region 3 may be used. The number of regions is not limited to this, and it may be one or more. The CPU 11 stores the license plate recognized in the area in the history file 151. Further, the CPU 11 stores the coordinates constituting the license plate in the history file 151. The coordinates constituting the license plate may be the upper left corner point of the license plate. The coordinates constituting the license plate may be other points such as the center coordinate of the license plate and the point at the lower right corner. When the license plate is recognized a plurality of times in the area, the coordinates at the earliest or later time of the recognized time may be stored in the history file 151.

  FIG. 4 is an explanatory diagram showing a record layout of the history file 151. The history file 151 includes a number field, a recognition result field, a region field, and the like. The number field stores the number of vehicles that have recognized the license plate. In the recognition result field, the number of the license plate recognized by pattern matching or the like is stored in association with the number. In the area field, the coordinates of the license plate recognized in each area and the recognition time are stored in association with the number of the license plate. In the example of FIG. 4, the license plate number “11-22” is recognized in the region 1 at 12:00:00, and the coordinates of the license plate are stored as (1000, 1200). The record layout of the history file 151 is merely an example, and the present invention is not limited to this. Other storage formats may be used as long as the relationship between data is maintained. In addition to storing the data in the storage unit 15, the data may be stored in the RAM 12 or an external storage unit (not shown).

  The CPU 11 stores the coordinates of the upper left corner of the license plate recognized in each area in the history file 151. Further, the CPU 11 stores the time output from the clock unit 18 at the time of recognition in the history file 151 in association with the license plate and the coordinates. The CPU 11 stores up to a numerical value stored in advance in the storage unit 15 in the history file 151. In this embodiment, 100 license plates are recognized. If the number exceeds 100, the newly recognized license plate, number, coordinates, and time may be stored in another record.

  The CPU 11 reads the two coordinates of the area 1 and the area 3 of the history file 151. The CPU 11 calculates the intercept value of the Y axis based on the read two coordinates. Specifically, the x and y coordinates of the region 1 and the region 3 are input to x and y of the linear function defined by y = ax + b. The CPU 11 calculates the intercept value b based on the input value. For example, when the coordinates of the region 1 are (1000, 1200) and the coordinates of the region 3 are (800, 800), the intercept value is −800. In the case of one lane, a large number of intercept values that approximate the obtained intercept value are calculated.

  For example, when the coordinates of the region 1 are (600, 1000) and the coordinates of the region 3 are (200, 10), the intercept value is −233. Thus, in the case of two lanes, there are two intercept value distributions. The CPU 11 calculates the variance of the intercept values for the calculated predetermined number. CPU11 reads a threshold value. When the variance is equal to or less than the read threshold value, the CPU 11 determines that there is little variation and one lane. When the variance exceeds the threshold, the CPU 11 determines that there are two lanes because there are many variations. Note that by setting a plurality of threshold values in advance, it can be determined that the number of lanes is three or more according to the dispersion. In this embodiment, an example using variance is shown, but the number of lanes may be determined by clustering by the k-means method or the number of peaks exceeding the threshold.

  FIG. 5 is a graph showing an example of determining the number of lanes based on the number of peaks. FIG. 5A is a graph showing statistics for two lanes, and FIG. 5B is a graph showing statistics for one lane. The horizontal axis is the intercept value, and the vertical axis is the number of units. The CPU 11 takes the calculated intercept value on the horizontal axis and the number of units having each intercept value on the vertical axis. The horizontal axis may be a value obtained by rounding the calculated intercept value, a value set in a predetermined range such as 800 to 810, or a value obtained by rounding down the decimal point. As shown in FIG. 5, the number of peaks exceeding the threshold stored in the storage unit 15 is different depending on the number of lanes. CPU11 reads a threshold value from the memory | storage part 15, and makes the number of the peaks which exceed a threshold value the number of lanes. Specifically, the CPU 11 calculates, as the number of peaks, the number at which the integral value for the intercept value changes from positive to negative.

  FIG. 6 is a flowchart showing the procedure of the storage process. The CPU 11 recognizes the license plate from the image captured in accordance with the control program 15P, calculates the coordinates of the recognized license plate, and acquires the time output from the clock unit 18 at the time of recognition (step S61). The CPU 11 determines whether or not the recognized license plate number is the first license plate number in the history file 151 (step S62). If the CPU 11 determines that it is the first license plate number (YES in step S62), it proceeds to step S63 to create a new record. The CPU 11 newly stores the number in the history file 151 (step S63).

  The CPU 11 stores the license plate number recognized in the history file 151 in association with the number (step S64). If the CPU 11 determines that it is not the first license plate number (NO in step S62), and after step S64, the process proceeds to step S65. The CPU 11 stores the coordinates corresponding to the area and the acquired time in the history file 151 in association with the license plate number (step S65). The Y-axis coordinates of the area are stored in advance in the storage unit 15, and the CPU 11 determines the area to which the calculated coordinates belong based on the coordinates stored in the storage unit 15 and the calculated coordinates.

  The CPU 11 reads the predetermined number from the storage unit 15, refers to the number stored in the history file 151, and determines whether or not the predetermined number is stored (step S66). If the CPU 11 determines that the predetermined number is not stored in the history file 151 (NO in step S66), the process returns to step S61. Thereby, a plurality of types of license plate numbers and coordinate values are acquired. If the CPU 11 determines that a predetermined number of items have been stored (YES in step S66), the process ends.

  FIG. 7 is a flowchart showing the procedure of the lane number determination process. CPU11 performs the following processes after the process of step S66. The CPU 11 reads out the coordinates of the area 1 and the coordinates of the area 3 from the history file 151 (step S71). The CPU 11 calculates a y-axis intercept value based on the read two coordinates (step S72). The CPU 11 stores the intercept value in the RAM 12 (step S73). The CPU 11 determines whether or not intercept values have been calculated for all the numbers stored in the history file 151 (step S74).

  If the CPU 11 determines that the intercept value has not been calculated for all the units (NO in step S74), the process returns to step S71. If the CPU 11 determines that the intercept value has been calculated for all the units (YES in step S74), the process proceeds to step S75. CPU11 reads the some intercept value memorize | stored in RAM12, and calculates dispersion | distribution (step S75). The CPU 11 reads the threshold value stored in the storage unit 15 (step S76). The CPU 11 determines whether or not the calculated variance is equal to or less than a threshold value (step S77).

  If the CPU 11 determines that the variance is equal to or less than the threshold value (YES in step S77), the CPU 11 proceeds to step S78. CPU11 determines the number of lanes to 1 (step S78). If the CPU 11 determines that the variance is not less than or equal to the threshold (NO in step S77), the process proceeds to step S79. CPU11 determines the number of lanes to 2 (step S79). After step S78 or S79, the CPU 11 stores the determined number of lanes in the setting file 152 (step S710). As a result, the number of lanes on the road is determined without setting by the installer.

Embodiment 2
The second embodiment relates to a mode for calculating the moving direction of the license plate. 8 and 9 are flowcharts showing a processing procedure when calculating the moving direction. The CPU 11 reads the recognition time of the area corresponding to the license plate number from the history file 151 (step S81). The CPU 11 determines whether or not the recognition time of the area 1 is before the recognition time of the area 2 (step S82). If the CPU 11 determines that the recognition time of the area 1 is before (YES in step S82), the CPU 11 proceeds to step S83. The CPU 11 determines whether or not the recognition time of the area 2 is before the recognition time of the area 3 (step S83). If the CPU 11 determines that the recognition time of the area 2 is before the recognition time of the area 3 (YES in step S83), the CPU 11 shifts the processing to step S84.

  The CPU 11 determines that the moving direction is from the lower side to the upper side of the screen, that is, the Y-axis positive direction, and increments the Y-axis positive direction flag (step S84). Thereafter, the process proceeds to step S87. If the CPU 11 determines that the recognition time of the area 2 is not earlier than the recognition time of the area 3 (NO in step S83), the CPU 11 returns the process to step S81 as a recognition error. Thereafter, the CPU 11 performs processing for the next license plate. If the CPU 11 determines that the recognition time of the area 1 is not earlier than the recognition time of the area 2 (NO in step S82), the process proceeds to step S85. The CPU 11 determines whether or not the recognition time of the area 3 is before the recognition time of the area 2 (step S85).

  If the CPU 11 determines that the recognition time of the area 3 is before the recognition time of the area 2 (YES in step S85), the CPU 11 shifts the processing to step S86. The CPU 11 determines that the moving direction is from the upper side to the lower side of the screen, that is, the Y-axis negative direction, and increments the Y-axis negative direction flag (step S86). Thereafter, the process proceeds to step S87. If the CPU 11 determines that the recognition time of the area 3 is not earlier than the recognition time of the area 2 (NO in step S85), the CPU 11 returns the process to step S81 as a recognition error. Thereafter, the CPU 11 performs processing for the next license plate.

  The CPU 11 determines whether or not the above-described processing has been completed for all license plate numbers stored in the history file 151 (step S87). If the CPU 11 determines that the process has not been completed for all license plate numbers (NO in step S87), the process returns to step S81. In this case, the next license plate is processed. The movement direction of the license plate is accumulated by repeating the above processing.

  If it is determined that the process has been completed for all license plate numbers (YES in step S87), the process proceeds to step S88. The CPU 11 determines whether or not the number of flags in the Y-axis positive direction is larger than the number of flags in the Y-axis negative direction (step S88). If the CPU 11 determines that the number of flags in the Y-axis positive direction is large (YES in step S88), the CPU 11 determines the movement direction of the license plate as the Y-axis positive direction (step S89). If the CPU 11 cannot determine that there are more flags than the Y-axis negative direction (NO in step S88), the CPU 11 determines the license plate moving direction as the Y-axis negative direction (step S91). After the processing of steps S89 and S91, the process proceeds to step S92. The CPU 11 stores the moving direction determined in step S89 or step S91 in the setting file 152 (step S92). Thus, the moving direction of the vehicle is determined without setting by the installer.

  The second embodiment is as described above, and the other parts are the same as those of the first embodiment. Therefore, the corresponding parts are denoted by the same reference numerals, and detailed description thereof is omitted.

Embodiment 3
The third embodiment relates to a mode in which the capturing area is changed for a lane in which a motorcycle is frequently traveling. In this embodiment, the motorcycle is described as a motor-equipped bicycle (hereinafter referred to as a moped) for ease of explanation, but the present invention is not limited to this. FIG. 10 is an explanatory diagram showing a record layout of the history file 151 according to the third embodiment. There is a new moped field. When the CPU 11 recognizes the original license plate, it sets a flag in the original field. In the example of FIG. 10, the white circle mark indicates that it is a moped, and the X mark indicates that it is not a moped. In addition, what is necessary is just to identify with the magnitude | size of a license plate, a number, etc. whether it is a moped.

  FIG. 11 is a flowchart showing the procedure of the area changing process. The CPU 11 refers to the setting file 152 and determines whether or not the road is two lanes and the moving direction is the Y axis positive direction (step S111). CPU11 complete | finishes a process, when it cannot be judged that a road is 2 lanes and a moving direction is a Y-axis positive direction (it is NO at step S111). If the CPU 11 refers to the setting file 152 and determines that the road is a two-lane road and the moving direction is the positive Y-axis direction (YES in step S111), the process proceeds to step S112. The CPU 11 refers to the history file 151 and reads the maximum value of the X coordinate of the moped (step S112). CPU11 reads the initial value and end value of the X-axis which are 1st coordinate systems from the memory | storage part 15 (step S113). For example, the initial value is 0 and the end value is 1600. The CPU 11 calculates the center value by taking the average of the initial value and the end value (step S114). The center value may be stored in the storage unit 15 in advance. Also, the maximum value in step S112 is read out that is smaller than the center value.

  The CPU 11 calculates the total value by adding the maximum value to the center value (step S115). The CPU 11 changes the area of the first lane from the initial value to the total value (step S116). CPU11 changes the area | region of a 2nd lane from a total value to an end value (step S117). The CPU 11 stores the changed area in the setting file 152 (step S118). The CPU 11 periodically transmits the stored contents of the setting file 152 to the personal computer 3 via the communication unit 16. In the present embodiment, for example, when the maximum value is 200, the region of the first lane is x = 0 to 1000, and the region of the second lane is x = 1000 to 1600. That is, the area of the first lane becomes wider than when the center value 800 was divided into two. As a result, as a result of an increase in the capturing range of vehicles traveling in the first lane, it becomes possible to accurately recognize the license plate of the vehicle traveling near the center while avoiding moped.

  The third embodiment is as described above, and the others are the same as in the first and second embodiments. Therefore, the corresponding parts are denoted by the same reference numerals, and detailed description thereof is omitted.

Embodiment 4
The fourth embodiment relates to a mode for periodically calculating the moving direction. FIG. 12 is a flowchart showing a procedure of movement direction calculation processing according to the fourth embodiment. After storing the moving direction in the setting file 152 in step S92, the CPU 11 determines whether or not a predetermined time (for example, 30 minutes) has elapsed (step S121). The predetermined time is stored in advance in the storage unit 15. In the present embodiment, an example is given in which processing is performed at intervals of 30 minutes, but processing may be performed at predetermined time intervals such as 0 minutes per hour.

  If the CPU 11 determines that the predetermined time has not elapsed (NO in step S121), the CPU 11 waits until the predetermined time elapses. If the CPU 11 determines that a certain time has elapsed (YES in step S121), the CPU 11 executes the processes of steps S61 to S66. In other words, the coordinates and recognition times of a predetermined number of license plates are stored in the history file 151. Thereafter, the CPU 11 performs the processing described in steps S81 to S92. That is, the movement direction calculation process described in the second embodiment is performed. Note that the lane number calculation process described in the first embodiment may be executed or may not be executed as in the present embodiment.

  CPU11 performs the process of step S111-S118 after that. That is, the center value changing process described in the third embodiment is performed. Note that the processing of steps S111 to S118 is not necessarily repeated. Thereby, even when the road whose traveling direction is changed according to time is imaged, the moving direction and center value changing process is automatically executed.

  The fourth embodiment is as described above, and the others are the same as those of the first to third embodiments. Therefore, the corresponding parts are denoted by the same reference numerals and detailed description thereof is omitted.

Embodiment 5
FIG. 13 is a functional block diagram showing the operation of the information processing apparatus 1 having the above-described form. When the CPU 11 executes the control program 15P, the information processing apparatus 1 operates as follows. The acquisition unit 101 acquires a plurality of coordinates at different times of the same license plate recognized from the captured image up to numerical values stored in advance for a plurality of types of license plates. The calculation unit 102 calculates the intercept value of each license plate based on the plurality of coordinates acquired by the acquisition unit 101. The determination unit 103 determines the number of lanes based on the distribution of the plurality of intercept values calculated by the calculation unit 102.

  FIG. 14 is a block diagram illustrating a hardware group of the information processing apparatus 1 according to the fifth embodiment. A program for operating the information processing apparatus 1 includes a portable recording medium 1A such as a CD-ROM, a DVD (Digital Versatile Disc) disk, a memory card, or a USB (Universal Serial Bus) memory in a reading unit 10A such as a disk drive. It may be read and stored in the storage unit 15. Further, a semiconductor memory 1B such as a flash memory storing the program may be mounted in the information processing apparatus 1. Further, the program can be downloaded from another server computer (not shown) connected via a communication network N such as the Internet. The contents will be described below.

  The information processing apparatus 1 shown in FIG. 14 reads a program for executing the above-described various software processes from the portable recording medium 1A or the semiconductor memory 1B, or another server computer (not shown) via the communication network N. Download from. The program is installed as the control program 15P, loaded into the RAM 12, and executed. Thereby, it functions as the information processing apparatus 1 described above.

  The fifth embodiment is as described above, and the other parts are the same as those of the first to fourth embodiments. Therefore, the corresponding parts are denoted by the same reference numerals and detailed description thereof is omitted.

  With respect to the embodiments including the first to fifth embodiments, the following additional notes are disclosed.

(Appendix 1)
To a computer having a control unit,
A plurality of coordinates at different times of the same license plate recognized from the captured image is acquired by the control unit up to a numerical value stored in advance for a plurality of types of license plates,
Calculate the intercept value of each license plate by the control unit based on the plurality of acquired coordinates,
A program for executing processing for determining the number of lanes based on a distribution of a plurality of intercept values calculated by the control unit.

(Appendix 2)
The program according to claim 1, wherein, when determining the number of lanes, the variance of the calculated intercept value is calculated by the control unit, and the number of lanes is determined according to the calculated value of variance.

(Appendix 3)
The program according to appendix 1 or 2, wherein the control unit calculates a moving direction of each license plate based on the acquired plurality of coordinates and the time when each coordinate is acquired.

(Appendix 4)
When the number of lanes is determined as two lanes, the control unit acquires a plurality of coordinates of the number plate of the motorcycle recognized from the captured image by the control unit,
Extract the maximum value of the first coordinate system of the captured image from the acquired multiple coordinates,
The program according to attachment 2 or 3, wherein the control unit changes a region in which a lane is divided based on the extracted maximum value.

(Appendix 5)
When changing the area,
The maximum value extracted to the center value determined based on the initial value and the end value of the image captured image in the first coordinate system is added by the control unit to obtain a total value,
The program according to claim 4, wherein the control unit changes the range from the initial value to the total value to a first lane region, and changes the total value to the end value to a second lane.

(Appendix 6)
The captured image is divided into three or more in the second coordinate system by the control unit,
The two coordinates at different times of the same license plate recognized from the captured image to which the minimum coordinate of the image capturing area in the second coordinate system belongs and the captured image to which the maximum coordinate belongs are acquired by the control unit up to a numerical value stored in advance for each license plate. Yes The program according to any one of appendices 1 to 5.

(Appendix 7)
The program according to any one of appendices 1 to 6, wherein the control unit calculates a moving direction of each license plate based on a plurality of acquired coordinates and a time at which each coordinate is acquired at regular time intervals.

(Appendix 8)
An acquisition unit that acquires coordinates at different times of the same license plate recognized from the captured image up to a numerical value stored in advance for each license plate;
A calculation unit that calculates an intercept value of each license plate based on a plurality of coordinates acquired by the acquisition unit;
An information processing apparatus comprising: a determination unit that determines the number of lanes based on a distribution of a plurality of intercept values calculated by the calculation unit.

(Appendix 9)
In an information processing method using a computer having a control unit,
The coordinates at different times of the same license plate recognized from the captured image are acquired by the control unit up to a numerical value stored in advance for each license plate,
Calculate the intercept value of each license plate by the control unit based on the acquired multiple coordinates,
An information processing method for determining the number of lanes based on a distribution of a plurality of intercept values calculated by the control unit.

DESCRIPTION OF SYMBOLS 1 Information processing apparatus 2 Camera 1A Portable recording medium 1B Semiconductor memory 3 Personal computer 10A Reading part 11 CPU
12 RAM
DESCRIPTION OF SYMBOLS 13 Input part 14 Display part 15 Memory | storage part 15P Control program 16 Communication part 18 Clock part 19 Image acquisition part 101 Acquisition part 102 Calculation part 103 Determination part 151 History file 152 Setting file N Communication network

Claims (5)

To a computer having a control unit,
A plurality of coordinates at different times of the same license plate recognized from the captured image is acquired by the control unit up to a numerical value stored in advance for a plurality of types of license plates,
Calculate the intercept value of each license plate by the control unit based on the plurality of acquired coordinates,
Determine the number of lanes based on the distribution of a plurality of intercept values calculated by the control unit ,
When the number of lanes is determined as two lanes, the control unit acquires a plurality of coordinates of the number plate of the motorcycle recognized from the captured image by the control unit,
Extract the maximum value of the first coordinate system along the width direction of the lane of the captured image from the plurality of acquired coordinates,
A program for executing a process of changing a region for dividing a lane by the control unit based on the extracted maximum value . The program according to claim 1, wherein when determining the number of lanes, the controller calculates a variance of the calculated intercept value and determines the number of lanes according to the calculated variance value. The program according to claim 1 or 2, wherein a moving direction of each license plate is calculated by the control unit based on a plurality of acquired coordinates and a time at which each coordinate is acquired. An acquisition unit that acquires coordinates at different times of the same license plate recognized from the captured image up to a numerical value stored in advance for each license plate;
A calculation unit that calculates an intercept value of each license plate based on a plurality of coordinates acquired by the acquisition unit;
A determining unit that determines the number of lanes based on a distribution of a plurality of intercept values calculated by the calculating unit ;
A coordinate acquisition unit for acquiring a plurality of coordinates of a license plate of a two-wheeled vehicle recognized from a captured image when the number of lanes is determined as two lanes;
An extraction unit that extracts the maximum value of the first coordinate system along the width direction of the lane of the captured image among the plurality of acquired coordinates;
An information processing apparatus comprising: a changing unit that changes a region for dividing a lane based on the extracted maximum value . In an information processing method using a computer having a control unit,
The coordinates at different times of the same license plate recognized from the captured image are acquired by the control unit up to a numerical value stored in advance for each license plate,
Calculate the intercept value of each license plate by the control unit based on the acquired multiple coordinates,
Determine the number of lanes based on the distribution of a plurality of intercept values calculated by the control unit ,
When the number of lanes is determined as two lanes, the control unit acquires a plurality of coordinates of the number plate of the motorcycle recognized from the captured image by the control unit,
Extract the maximum value of the first coordinate system along the width direction of the lane of the captured image from the plurality of acquired coordinates,
An information processing method for changing a region for dividing a lane by the control unit based on an extracted maximum value .

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