JP6139806B1 - Number estimation device, number estimation program and passage number estimation device - Google Patents

Abstract

The number estimating device (10) detects a person who passes through the detection range by means of a sensor (31) whose detection range is a partial range of the target area. The number-of-people estimation device (10) uses the parameters corresponding to at least one of the shape of the passage connected to the target region and the position of the detection range of the sensor (31) in the target region to determine the target region Estimate the number of people who passed outside the detection range. Thereby, the number estimating device (10) calculates the number of persons who have passed through the entire target area.

Description

  The present invention relates to a technique for estimating the number of passages that have passed through a target region.

There is a technique for detecting the number of people who have passed through the target area by shooting the target area with a camera and detecting a person from the captured video (see Patent Document 1).
However, when a person is detected from an image captured by a camera, the detection accuracy may not increase depending on conditions such as clothing color, presence / absence of prevention, floor and wall colors, and illumination brightness. As a specific example, when detecting a person from video captured by a camera, the object is recognized by the difference in color, so that a person wearing a hat of the same color as the floor cannot be detected, and the area of the person's head is the same. A false detection occurs that the carry bag is detected as a person.

  On the other hand, by detecting a person using a sensor such as a 3D sensor, it is possible to detect the person with high accuracy.

JP 2005-027085 A

However, when a sensor such as a 3D sensor is used, the entire target area may not be included in the detection range of the sensor due to restrictions on the installation location of the sensor.
An object of the present invention is to estimate the number of passages that have passed through the target area when only a part of the target area is the detection range of the sensor.

The number-of-people estimation device according to the present invention is:
A detection unit for detecting a person passing through the detection range by a sensor having a partial range of the target region as a detection range;
A number calculation unit that calculates the number of people who have passed through the target region by estimating the number of people that have passed outside the detection range of the target region from the number of people detected by the detection unit.

  The calculation unit estimates the number of people who have passed outside the detection range using a parameter corresponding to at least one of the shape of a passage connected to the target region and the position of the detection range in the target region. .

  The calculation unit estimates the number of people who have passed outside the detection range using a parameter corresponding to the frequency of human detection by the sensor.

  The calculation unit estimates the number of people who have passed outside the detection range using a parameter corresponding to the number of people detected simultaneously by the sensor.

  The calculation unit estimates the number of people who have passed outside the detection range using a parameter corresponding to the width of the detection range with respect to the width of the target region.

  The calculation unit estimates the number of people who have passed outside the detection range using a parameter according to time.

  When only a person whose height is lower than a reference value is detected, the calculation unit estimates the number of persons who have passed outside the detection range, assuming that there is a person who has passed outside the detection range.

  The calculation unit calculates the number of persons existing in the target space by calculating the number of persons who have passed through the target area with all the entrances and exits in the target space as the target area.

The number estimation program according to the present invention is:
A detection process for detecting a person passing through the detection range by means of a sensor whose detection range is a partial range of the target area;
By estimating the number of people who have passed outside the detection range of the target area from the number of persons detected by the detection process, the computer is caused to execute a number calculation unit that calculates the number of persons who have passed the target area.

The passage number estimation device according to the present invention is
A detection unit that detects a moving object that passes through the detection range by a sensor that uses a partial range of the target region as a detection range;
A passage number calculation unit that calculates the number of moving objects that have passed through the target region by estimating the number of moving objects that have passed outside the detection range of the target region from the number of moving objects detected by the detection unit.

  In the present invention, the number of persons who have passed outside the detection range of the target area is estimated from the detected number of persons. Thereby, when only a part of the target area is the detection range of the sensor, it is possible to estimate the number of passages that have passed through the target area.

1 is a configuration diagram of a number estimation device 10 according to Embodiment 1. FIG. Explanatory drawing of the operation | movement outline | summary of the number estimation apparatus 10 which concerns on Embodiment 1. FIG. Explanatory drawing when the channel | path 44 connected to the entrance / exit which is the object area | region 41 which concerns on Embodiment 1 is a straight line. Explanatory drawing when the channel | path 44 connected to the entrance / exit which is the object area | region 41 which concerns on Embodiment 1 is curving. The flowchart which shows operation | movement of the number-of-people estimation apparatus 10 which concerns on Embodiment 1 when the channel | path 44 which concerns on Embodiment 1 is a straight line. The flowchart which shows operation | movement of the number-of-people estimation apparatus 10 which concerns on Embodiment 1 in case the channel | path 44 which concerns on Embodiment 1 is curving. Explanatory drawing when the width | variety of the detection range 42 which concerns on the modification 1, and the width | variety of the outer range 43 differ. Explanatory drawing when the width | variety of the detection range 42 which concerns on the modification 1, and the width | variety of the outer range 43 differ. The block diagram of the number-of-people estimation apparatus 10 which concerns on the modification 3. FIG. Explanatory drawing in case the detection interval of the person by the sensor 31 which concerns on Embodiment 2 is less than fixed time. Explanatory drawing in case the detection interval of the person by the sensor 31 which concerns on Embodiment 2 is more than fixed time. 9 is a flowchart showing the operation of the number estimating device 10 according to the second embodiment. Explanatory drawing when only one person is detected simultaneously by the sensor 31 according to the third embodiment. Explanatory drawing when a plurality of people are detected simultaneously by the sensor 31 according to the third embodiment. 10 is a flowchart showing the operation of the number-of-people estimation device 10 according to the third embodiment. The block diagram of the number-of-people estimation apparatus 10 which concerns on Embodiment 4. FIG. Explanatory drawing of operation | movement of the number estimation apparatus 10 which concerns on Embodiment 4. FIG. 10 is a flowchart showing the operation of the number-of-people estimation device 10 according to the fourth embodiment. FIG. 10 shows a control table according to the fourth embodiment. Explanatory drawing of the detection method of the sensor 31 which concerns on the modification 10. FIG.

Embodiment 1 FIG.
*** Explanation of configuration ***
With reference to FIG. 1, the structure of the number-of-people estimation apparatus 10 which concerns on Embodiment 1 is demonstrated.
The number estimation device 10 is a computer.
The number of people estimation device 10 includes hardware of a processor 11, a storage device 12, and a communication interface 13. The processor 11 is connected to other hardware via the system bus and controls these other hardware.

  The processor 11 is an IC (Integrated Circuit) that performs processing. The processor 11 is a CPU (Central Processing Unit), a DSP (Digital Signal Processor), or a GPU (Graphics Processing Unit) as specific examples.

  The storage device 12 includes a memory 121 and a storage 122. The memory 121 is, for example, a RAM (Random Access Memory). As a specific example, the storage 122 is a ROM (Read Only Memory), a flash memory, or an HDD (Hard Disk Drive). The storage 13 may be a portable storage medium such as an SD (Secure Digital) memory card, a CF (CompactFlash), a NAND flash, a flexible disk, an optical disk, a compact disk, a Blu-ray (registered trademark) disk, or a DVD.

  The communication interface 13 is a device for communicating with a sensor 31 such as a 3D sensor. As a specific example, the communication interface 13 is a terminal of Ethernet (registered trademark), RS232C, USB (Universal Serial Bus), or IEEE1394.

The number estimation device 10 includes a detection unit 21 and a calculation unit 22 as functional components. The functions of the detection unit 21 and the calculation unit 22 are realized by software.
The storage 122 stores programs that realize the functions of the respective units. This program is read into the memory 121 by the processor 11 and executed by the processor 11.

  Information, data, signal values, and variable values indicating the results of processing of the functions of the respective units of the number estimating device 10 are stored in the memory 121, a register in the processor 11, or a cache memory. In the following description, it is assumed that information, data, signal values, and variable values indicating the results of processing of the functions of the respective units of the number estimating device 10 are stored in the memory 121.

  In FIG. 1, only one processor 11 is shown. However, the number estimating device 10 may include a plurality of processors that replace the processor 11. The plurality of processors share the execution of programs that realize the functions of the respective units. Each processor is an IC that performs processing in the same manner as the processor 11.

*** Explanation of operation ***
With reference to FIG. 2 to FIG. 6, the operation of the number estimating device 10 according to the first embodiment will be described.
The operation of the number estimating device 10 according to the first embodiment corresponds to the number estimating method according to the first embodiment. The operation of the number estimating device 10 according to the first embodiment corresponds to the processing of the number estimating program according to the first embodiment.

With reference to FIG. 2, the operation | movement outline | summary of the number-of-people estimation apparatus 10 which concerns on Embodiment 1 is demonstrated.
When only a part of the entrance / exit range that is the target area 41 for calculating the number of passing persons is the detection range 42 of the sensor 31, the sensor 31 cannot detect a person who has passed the outer range 43 of the target area 41.
Therefore, the number estimating device 10 estimates the number of people who have passed the outer range 43 from the number of people who have passed the detection range 42. The number estimating device 10 adds the estimated number of persons to the number of persons who have passed the detection range 42 and calculates the number of persons who have passed the target area 41.
In FIG. 2, only one sensor 31 is shown, but a plurality of sensors 31 may be installed in one target area 41. In this case, the number of people who have passed through the outer range 43 is estimated from the number of people detected by all the sensors 31 installed in one target area 41.

With reference to FIG.3 and FIG.4, the operation | movement detail of the number estimation apparatus 10 which concerns on Embodiment 1 is demonstrated.
In the first embodiment, a parameter corresponding to at least one of the shape of the passage 44 connected to the target region 41 and the position of the detection range 42 in the target region 41 is used to determine the outer range from the number of people who have passed the detection range 42. The number of people who passed 43 is estimated. Here, the number estimating device 10 estimates the number of people who have passed the outer range 43 by multiplying the number of people who have passed the detection range 42 by a parameter.

As shown in FIG. 3, when the passage 44 connected to the entrance / exit which is the target area 41 is a straight line, it is assumed that a person passes through the entire range in the target area 41 almost evenly. Therefore, when the detection range 42 is a half range of the target region 41, the number of people who have passed the outer range 43 is estimated to be the same as the number of people who have passed the detection range 42.
Therefore, in this case, the parameter P1 corresponding to the shape of the passage 44 connected to the target region 41 is set to “1.0”. That is, the number estimating device 10 estimates the number of people who have passed the outer range 43 by multiplying the number of people who have passed the detection range 42 by the parameter P1 corresponding to the shape of the passage 44 connected to the target area 41.

As shown in FIG. 4, when the passage 44 connected to the entrance / exit which is the target area 41 is bent, the person inside the bend in the target area 41 passes through the area outside the bend. It is assumed that there are many. Therefore, when the detection range 42 is the inner half range of the target area 41, it is assumed that the number of people who have passed the outer range 43 is smaller than the number of people who have passed the detection range 42. On the other hand, when the detection range 42 is the outer half range of the target area 41, it is assumed that the number of people who have passed the outer range 43 is greater than the number of people who have passed the detection range 42.
Therefore, in this case, when the detection range 42 is inside the target region 41, the parameter P2 corresponding to the shape of the passage 44 connected to the target region 41 and the position of the detection range 42 in the target region 41 is set to “1. The value is 0 ”or more. On the other hand, when the detection range 42 is outside the target region 41, the parameter P3 corresponding to the shape of the passage 44 connected to the target region 41 and the position of the detection range 42 in the target region 41 is “1.0” or less. The value of That is, the person estimation device 10 multiplies the number of persons who have passed through the detection range 42 by a parameter corresponding to the shape of the passage 44 connected to the target area 41 and the position of the detection range 42 in the target area 41. The number of people who have passed the range 43 is estimated.

With reference to FIG. 5, the flow of the operation of the number-of-people estimation device 10 according to Embodiment 1 when the passage 44 is a straight line will be described.
(Step S11: detection process)
The detection unit 21 detects a person who passes through the detection range 42 by using the sensor 31 having a partial range of the target region 41 as the detection range 42.

(Step S12: Standby process)
The calculation unit 22 determines whether or not the reference time has elapsed since step S13 was executed last time. The calculation unit 22 advances the process to step S13 when the reference time has elapsed, and returns the process to step S11 when the reference time has not elapsed.

(Step S13: Number of people estimation process)
The calculation unit 22 multiplies the number of people C1 detected in step S11 after the previous step S13 is executed by the parameter P1, and estimates the number of people C2 that have passed through the outer range 43 after the previous step S13 was executed. Then, the calculating unit 22 calculates the number of people who have passed through the target area 41 by adding the number of people C2 to the number of people C1.

With reference to FIG. 6, the flow of the operation of the number estimating device 10 according to the first embodiment when the passage 44 is bent will be described.
The processing from step S21 to step S22 is the same as the processing from step S11 to step S12 in FIG.

(Step S23: position determination process)
The calculation unit 22 determines whether the detection range 42 is inside or outside the target area 41. The calculation unit 22 advances the process to step S24 when the detection range 42 is inside the target area 41, and advances the process to step S25 when the detection range 42 is outside the target area 41.
Whether the detection range 42 is inside or outside the target region 41 is determined based on information on where the detection range 42 is located in the target region 41, for example, registered in advance in the database.

(Step S24: First person estimation process)
The calculation unit 22 multiplies the number of people C1 detected in step S21 after the previous step S24 is executed by the parameter P2, and estimates the number of people C2 that have passed through the outer range 43 after the previous step S24 was executed. Then, the calculating unit 22 calculates the number of people who have passed through the target area 41 by adding the number of people C2 to the number of people C1.

(Step S25: Second person estimation process)
The calculation unit 22 multiplies the parameter P3 by the number of people C1 detected in step S21 after the previous step S25 has been executed, and estimates the number of people C2 that has passed the outer range 43 after the previous step S25 has been executed. Then, the calculating unit 22 calculates the number of people who have passed through the target area 41 by adding the number of people C2 to the number of people C1.

*** Effects of Embodiment 1 ***
As described above, the number estimating device 10 according to the first embodiment uses parameters according to at least one of the shape of the passage 44 connected to the target area 41 and the position of the detection range 42 in the target area 41. The number of people who have passed the outer range 43 is estimated from the number of people who have passed the detection range 42. Thereby, when only a partial range of the target area 41 is the detection range 32 of the sensor 31, it is possible to accurately estimate the number of persons who have passed through the target area 41.

*** Other configurations ***
<Modification 1>
The first embodiment has been described on the assumption that the width of the detection range 42 and the width of the outer range 43 are the same. As a first modification, the width of the detection range 42 and the width of the outer range 43 may be different. In this case, the parameters may be set according to the ratio between the width of the detection range 42 and the width of the outer range 43.
As a specific example, as shown in FIG. 7, when the width of the outer range 43 is twice the width of the detection range 42, the parameter may be doubled. As shown in FIG. 8, when the width of the outer range 43 is ½ times the width of the detection range 42, the parameter may be halved.

<Modification 2>
The first embodiment has been described on the assumption that when the passage 44 connected to the entrance / exit which is the target region 41 is bent, the detection range 42 is a half range inside or outside the target region 41. As a second modification, the detection range 42 may be a central portion of the target area 41. In this case, the parameter P2 may be used for the outer range 43 inside the detection range 42, and the parameter P3 may be used for the outer range 43 outside the detection range 42.
When the width of the outer range 43 inside the detection range 42 is different from the width of the detection range 42, the parameter P2 may be set as described in the first modification. The same applies when the width of the outer range 43 outside the detection range 42 is different from the width of the detection range 42.

<Modification 3>
In the first embodiment, the function of each part of the number estimating device 10 is realized by software. As modification 3, the function of each part of the number estimating device 10 may be realized by hardware. The third modification will be described with respect to differences from the first embodiment.

With reference to FIG. 9, the structure of the number-of-people estimation apparatus 10 which concerns on the modification 3 is demonstrated.
When the function of each unit is realized by hardware, the number estimating device 10 includes a processing circuit 14 instead of the processor 11 and the storage device 12. The processing circuit 14 is a dedicated electronic circuit that realizes the functions of the respective units of the number estimating device 10 and the function of the storage device 12.

  The processing circuit 14 is assumed to be a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, a logic IC, a GA (Gate Array), an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable Gate Array). Is done.

  The number estimating device 10 may include a plurality of processing circuits that replace the processing circuit 14. The function of each unit is realized as a whole by the plurality of processing circuits. Each processing circuit is a dedicated electronic circuit like the processing circuit 14.

<Modification 4>
As a fourth modification, some functions may be realized by hardware, and other functions may be realized by software. That is, some of the functions of the number estimating device 10 may be realized by hardware, and the other functions may be realized by software.

  The processor 11, the storage device 12, and the processing circuit 14 are collectively referred to as “processing circuitry”. That is, the function of each part is realized by a processing circuit.

Embodiment 2. FIG.
The second embodiment is different from the first embodiment in that parameters according to the frequency of human detection by the sensor 31 are used. In the second embodiment, this different point will be described.

*** Explanation of operation ***
With reference to FIG.10 and FIG.11, the operation | movement detail of the number-of-people estimation apparatus 10 which concerns on Embodiment 2 is demonstrated.
As shown in FIG. 10, when the human detection interval by the sensor 31 is less than a certain time, that is, when the human detection frequency by the sensor 31 is high, there are many people passing through the target region 41. On the other hand, as shown in FIG. 11, when the human detection interval by the sensor 31 is equal to or longer than a certain time, that is, when the human detection frequency by the sensor 31 is low, the number of people passing through the target region 41 is small. If there are many people passing through the target area 41, it is expected that the detection range 42 and the outer range 43 will pass at a roughly assumed rate. On the other hand, in a state where few people pass through the target area 41, there is a possibility that the detection range 42 and the outer range 43 do not pass at the rate assumed.
Therefore, a parameter closer to “1.0” is used as the frequency of human detection by the sensor 31 increases. In this case, a parameter closer to “0” is used as the frequency of human detection by the sensor 31 is lower.

With reference to FIG. 12, the flow of operation of the number-of-people estimation apparatus 10 according to Embodiment 2 will be described.
Here, the human detection frequency by the sensor 31 is divided into three stages. Then, parameters P4, P5, and P6 are assigned in order from the lowest detection frequency. Here, the parameters P4, P5, and P6 have a relationship of P4 <P5 <P6.
The detection frequency may be set to 2 levels or less or 4 levels or more.

  The processing from step S31 to step S32 is the same as the processing from step S11 to step S12 in FIG.

(Step S33: First frequency determination process)
The calculation unit 22 determines whether or not the frequency at which a person is detected in step S31 after one of steps S35 to S37 is executed is equal to or less than a first threshold value. When the frequency is higher than the first threshold, the calculation unit 22 advances the process to step S34, and when the frequency is lower than the first threshold, advances the process to step S35.

(Step S34: Second frequency determination process)
The calculation unit 22 determines whether or not the frequency at which a person is detected in step S31 after one of steps S35 to S37 is executed is equal to or less than a second threshold value. If the frequency is lower than the second threshold value, the calculation unit 22 advances the process to step S36, and if the frequency is higher than the first threshold value, advances the process to step S37.

(Step S35: first person estimation process)
The calculation unit 22 multiplies the number of persons C1 detected in step S31 after any of the previous steps S35 to S37 is executed by the parameter P4, and then outputs after the execution of any of the previous steps S35 to S37. The number of people C2 who passed the range 43 is estimated. Then, the calculating unit 22 calculates the number of people who have passed through the target area 41 by adding the number of people C2 to the number of people C1.

(Step S36: Second person estimation process)
The calculation unit 22 multiplies the number of persons C1 detected in step S31 after one of the previous steps S35 to S37 is executed by the parameter P5, and then outputs the result after one of the previous steps S35 to S37 is executed. The number of people C2 who passed the range 43 is estimated. Then, the calculating unit 22 calculates the number of people who have passed through the target area 41 by adding the number of people C2 to the number of people C1.

(Step S37: Third person estimation process)
The calculation unit 22 multiplies the parameter C6 by the number of people C1 detected in step S31 after any of the previous steps S35 to S37 is executed, and after calculating any of the steps S35 to S37. The number of people C2 who passed the range 43 is estimated. Then, the calculating unit 22 calculates the number of people who have passed through the target area 41 by adding the number of people C2 to the number of people C1.

*** Effects of Embodiment 2 ***
As described above, the number estimating device 10 according to the second embodiment estimates the number of people who have passed the outer range 43 from the number of people who have passed the detection range 42 using the parameters according to the frequency of detection of the person by the sensor 31. . Thereby, when only a partial range of the target area 41 is the detection range 32 of the sensor 31, it is possible to accurately estimate the number of persons who have passed through the target area 41.

*** Other configurations ***
<Modification 5>
In the second embodiment, the number of people who have passed the outer range 43 is estimated using a parameter corresponding to the frequency of human detection by the sensor 31. As a modified example 5, the parameters according to at least one of the shape of the passage 44 connected to the target area 41 and the position of the detection range 42 in the target area 41 described in the first embodiment are used together. The number of people who have passed the range 43 may be estimated. In this case, the number of people who have passed the outer range 43 by multiplying both the parameter according to the detection frequency and the parameter according to at least one of the shape of the passage 44 and the position of the detection range 42 by the detected number C1. What is necessary is just to estimate C2.
As a specific example, when the passage 44 is bent, the detection range 42 is inside the target region 41, and the frequency is higher than the second threshold, the calculation unit 22 sets the parameters P3 and P6. Is multiplied by the detected number of people C1 to estimate the number of people C2 who have passed through the outer range 43.

Embodiment 3 FIG.
The third embodiment is different from the first embodiment in that parameters according to the number of people detected simultaneously by the sensor 31 are used. In the third embodiment, this different point will be described.

*** Explanation of operation ***
With reference to FIG.13 and FIG.14, the operation | movement detail of the number-of-people estimation apparatus 10 which concerns on Embodiment 3 is demonstrated.
As shown in FIG. 13, when only one person is detected at a time by the sensor 31, the target area 41 is not congested. On the other hand, as shown in FIG. 14, when a plurality of people are detected simultaneously by the sensor 31, the target area 41 is congested. If the target region 41 is not congested, it is expected that the detection range 42 and the outer range 43 pass through at a rate that is generally assumed. On the other hand, in a state where the target area 41 is congested, there is a possibility that the detection range 42 and the outer range 43 will not pass at the rate assumed.
Therefore, a parameter closer to “1.0” is used as the number of people detected simultaneously by the sensor 31 is smaller. And here, a larger parameter is used as the number of people detected simultaneously by the sensor 31 increases.

With reference to FIG. 15, the flow of operation of the number-of-people estimation device 10 according to Embodiment 3 will be described.
Here, the number of people detected simultaneously by the sensor 31 is divided into three stages. Then, parameters P7, P8, and P9 are assigned in order from the smallest number of people. Here, the parameters P7, P8, and P9 have a relationship of P7 <P8 <P9.
The detection frequency may be set to 2 levels or less or 4 levels or more.

  The processing from step S41 to step S42 is the same as the processing from step S11 to step S12 in FIG.

(Step S43: First person number determination process)
The calculation unit 22 determines whether or not the maximum number of people simultaneously detected in step S31 after the execution of any of steps S45 to S47 is one. If the maximum number of people is one, the calculation unit 22 advances the processing to step S45, and if the maximum number of people is two or more, advances the processing to step S44.

(Step S44: Second person number determination process)
The calculation unit 22 determines whether the maximum number of people detected at the same time in step S31 after the execution of any of steps S45 to S47 is two. If the maximum number of people is two, the calculation unit 22 advances the process to step S46, and if the maximum number of people is three or more, advances the processing to step S47.

(Step S45: First person number estimation process)
The calculation unit 22 multiplies the number of persons C1 detected in step S41 after any one of steps S45 to S47 is executed by the parameter P7, and then outputs after any one of steps S45 to S47 is executed. The number of people C2 who passed the range 43 is estimated. Then, the calculating unit 22 calculates the number of people who have passed through the target area 41 by adding the number of people C2 to the number of people C1.

(Step S46: Second person number estimation process)
The calculation unit 22 multiplies the number of persons C1 detected in step S41 after any one of steps S45 to S47 is executed by the parameter P8, and then outputs after any one of steps S45 to S47 is executed. The number of people C2 who passed the range 43 is estimated. Then, the calculating unit 22 calculates the number of people who have passed through the target area 41 by adding the number of people C2 to the number of people C1.

(Step S47: Third person estimation process)
The calculation unit 22 multiplies the number of persons C1 detected in step S41 after any one of steps S45 to S47 is executed by the parameter P9, and then outputs after any one of steps S45 to S47 is executed. The number of people C2 who passed the range 43 is estimated. Then, the calculating unit 22 calculates the number of people who have passed through the target area 41 by adding the number of people C2 to the number of people C1.

*** Effects of Embodiment 3 ***
As described above, the number estimating device 10 according to the third embodiment estimates the number of people who have passed the outer range 43 from the number of people who have passed the detection range 42 using the parameters corresponding to the number of people simultaneously detected by the sensor 31. To do. Thereby, when only a partial range of the target area 41 is the detection range 32 of the sensor 31, it is possible to accurately estimate the number of persons who have passed through the target area 41.

*** Other configurations ***
<Modification 6>
As Modification 6, as in Modification 5, the number of people who have passed the outer range 43 may be estimated using the parameters described in Embodiments 1 and 2 together. In this case, the number C2 of passing through the outer range 43 is estimated by multiplying both the parameter according to the number of people detected simultaneously by the sensor 31 and the parameter described in the first and second embodiments by the detected number C1. do it.

<Modification 7>
In addition to the parameters described in the first to third embodiments, or instead of the parameters described in the first to third embodiments, parameters according to time may be used.
As a specific example, different parameters are used depending on whether it is morning or afternoon. Further, when the target area 41 is an entrance / exit of a transit area in an airport, different parameters are used depending on whether the arrival and departure flights are at a high time or a low time.

<Modification 8>
In addition to the parameters described in the first to third embodiments, or in place of the parameters described in the first to third embodiments, when a person having the attribute A is detected and a person having the attribute B is not detected May estimate the number of people who have passed the outer range 43 using logic that the person having the attribute B is considered to have passed the outer range 43.
As a specific example, a person whose height is equal to or less than a reference value is regarded as a child, and when a child passes the target area 41, the logic that an adult should pass the target area 41 is also used. The number of people who have passed 43 may be estimated. In this case, when only a person whose height is equal to or less than the reference value is detected within a certain period, the number of persons who have passed through the outer range 43 is estimated assuming that there is a person who has passed through the outer range 43.

Embodiment 4 FIG.
In the fourth embodiment, an application example using the number of people who have passed through the target area 41 calculated by any one of the first to third embodiments will be described.

*** Explanation of configuration ***
With reference to FIG. 16, the structure of the number-of-people estimation apparatus 10 which concerns on Embodiment 4 is demonstrated.
The number estimating device 10 includes a control unit 23 in addition to the functional components shown in FIG. The control unit 23 is realized by software in the same manner as the detection unit 21 and the calculation unit 22.
The control unit 23 controls the air conditioner 32 connected via the communication interface 13.

*** Explanation of operation ***
With reference to FIG. 17, the operation of the number estimating device 10 according to the fourth embodiment will be described.
All the entrances / exits in the target space 45 are set as target areas 41. Then, the number of people who have passed through each doorway is calculated by the method described in any of Embodiments 1 to 3.
The number estimating device 10 calculates the number of persons existing in the target space 45 using the calculated number of persons passing through each doorway. The number of persons existing in the target space 45 may be a specific number of persons existing in the target space 45, or may be an increase or decrease from the reference number of persons when the number of persons at a certain point in time is used as the reference number of persons. Also good. In the fourth embodiment, the number-of-people estimation device 10 controls the air conditioner 32 in the target space 45 according to the number of people existing in the target space 45.

With reference to FIG. 18, the flow of operation of the number-of-people estimation device 10 according to Embodiment 4 will be described.
(Step S51: Passing number calculation processing)
The detection unit 21 and the calculation unit 22 regularly calculate the number of people who have passed through each doorway by the method described in any of the first to third embodiments. At this time, the calculation unit 22 calculates the number of people who have passed using the parameters corresponding to each doorway.

(Step S52: Existence number calculation process)
The calculation unit 22 calculates the number of people present in the target space 45 based on the number of people calculated for each doorway.
As specific examples, the number of people passing through the entrance A shown in FIG. 17 is 200, the number of people passing through the entrance B is 500, the number of people passing through the exit A is 100, and the number of people passing through the exit B is 200. Suppose. In this case, the calculation unit 22 calculates that 200 + 500−100−200 = 400 people exist in the target space 45.

(Step S53: Control processing)
The control unit 23 controls the air conditioner 32 in the target space 45 according to the number of persons existing in the target space 45 calculated in step S52.
As a specific example, as shown in FIG. 19, the number estimating device 10 stores a control table that defines the output of the air conditioner 32 for each number of people existing in the target space 45 in the storage device 12. And the control part 23 reads the output corresponding to the number of persons who exist in the object space 45 from a control table, and controls the air conditioner 32 with the read output.

*** Effects of Embodiment 4 ***
As described above, the number estimating device 10 according to the fourth embodiment calculates the number of persons existing in the target space 45 by calculating the number of persons who have passed through all the entrances / exits in the target space 45. Thereby, the number of persons existing in the target space 45 can be calculated when only a part of the range is the detection range of the sensor for each doorway. As a result, the air conditioner 32 in the target space 45 can be appropriately controlled.
Note that the number of people who have passed through each doorway may not be an accurate value. However, if the same error is included at any doorway, there is a possibility that a generally accurate number of persons may be calculated as the number of persons existing in the target space 45. In addition, even if there is a certain amount of error in the number of persons existing in the target space 45, the air conditioner 32 can be appropriately controlled as long as the approximate number of persons can be grasped.

*** Other configurations ***
<Modification 9>
In the fourth embodiment, the air conditioner 32 in the target space 45 is controlled according to the number of people present in the target space 45. As a ninth modification, other items such as lighting and staff arrangement in the target space 45 may be controlled according to the number of people existing in the target space 45.

<Modification 10>
In the fourth embodiment, the number of persons existing in the target space 45 is calculated assuming that the person who has passed the entrance enters the target space 45 and the person who has passed the exit has exited the target space 45. As a tenth modification, as illustrated in FIG. 20, a sensor 31 may detect a direction in which a person has passed a certain reference position in the detection range 42, and count the number of persons according to the direction in which the person has passed. In FIG. 20, when one person passes in the right direction, +1 is counted, and when one person passes in the left direction, -1 is counted. Thereby, not only the person who entered from the entrance but also the person who exited from the entrance is counted. Similarly, not only those who exit from the exit but also those who enter from the exit are counted. As a result, the number of persons existing in the target space 45 can be calculated more accurately.

<Modification 11>
In the first to fourth embodiments, the number of people who have passed through the target area 41 is calculated. As a modified example 11, what moves through the target area 41 may not be a person but another moving body. As a specific example, the mobile body is an animal such as a dog or a cat, a vehicle such as a vehicle or a ship, or a luggage such as a parcel. In this case, the number-of-people estimation device 10 can be read as a number-of-passage estimation device in order to estimate the number of passages of the moving body, not the number of people.

  10 number estimation device, 11 processor, 12 storage device, 121 memory, 122 storage, 13 communication interface, 14 processing circuit, 21 detection unit, 22 calculation unit, 23 control unit, 31 sensor, 41 target area, 42 detection range, 43 Outer range, 44 passages, 45 target space.

Claims (10)

A detection unit for detecting a person passing through the detection range by a sensor having a partial range of the target region as a detection range;
A number estimation device comprising: a calculation unit that calculates the number of people who have passed through the target region by estimating the number of people who have passed outside the detection range of the target region from the number of people detected by the detection unit. The calculation unit estimates the number of people who have passed outside the detection range using a parameter corresponding to at least one of the shape of a passage connected to the target region and the position of the detection range in the target region. The number estimating device according to claim 1. The number estimation device according to claim 1 or 2, wherein the calculation unit estimates the number of people who have passed outside the detection range using a parameter according to a frequency of detection of a person by the sensor. The number estimation device according to any one of claims 1 to 3, wherein the calculation unit estimates the number of people who have passed outside the detection range using a parameter corresponding to the number of people simultaneously detected by the sensor. . 5. The calculation unit according to claim 1, wherein the calculation unit estimates the number of persons who have passed outside the detection range using a parameter corresponding to a width of the detection range with respect to a width of the target region. Number of people estimation device. The number estimating device according to any one of claims 1 to 5, wherein the calculating unit estimates the number of people who have passed outside the detection range using a parameter according to time. The calculation unit, when only a person whose height is lower than a reference value is detected, assumes that there is a person who has passed outside the detection range, and estimates the number of persons who have passed outside the detection range. The number estimation device according to any one of 1 to 6. The calculation unit according to any one of claims 1 to 7, wherein the calculation unit calculates the number of persons existing in the target space by calculating the number of persons who have passed through the target area with each of the entrances and exits in the target space as the target area. The number-of-people estimation device according to item 1. A detection process for detecting a person passing through the detection range by means of a sensor whose detection range is a partial range of the target area;
A number estimation program for causing a computer to execute a calculation unit for calculating the number of persons who have passed through the target area by estimating the number of persons who have passed outside the detection range of the target area from the number of persons detected by the detection process. A detection unit that detects a moving object that passes through the detection range by a sensor that uses a partial range of the target region as a detection range;
A passing number estimation device comprising: a calculating unit that calculates the number of moving objects that have passed through the target area by estimating the number of moving objects that have passed outside the detection range of the target area from the number of moving objects detected by the detecting unit. .

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