JP5264137B2 - Ticket gate system, person detection unit and automatic ticket gate - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To improve the precision of person detection in a ticket examination system having an automatic ticket gate. <P>SOLUTION: This ticket examination system is provided with a plurality of person detection means installed above an automatic ticket gate in a direction different from the lane direction of the ticket gate for acquiring detection information related with a person A passing through the ticket gate; a determination means for determining the person information on the person passing through the ticket gate 16 based on the plurality of detection information acquired by the plurality of person detection means; and a control means for controlling the opening/closing of the gate of the automatic ticket gate based on the person information determined by the determination means. <P>COPYRIGHT: (C)2009,JPO&amp;INPIT

Description

  The present invention relates to a ticket gate system, a person detection unit, and an automatic ticket gate.

  Conventionally, an automatic ticket gate has been provided with a person detection device to detect a person passing through the ticket gate. For example, a human detection device for an automatic ticket gate described in Patent Document 1 is a plurality of transmission sensors provided on a side surface of the automatic ticket gate and at a certain height from the floor, and an upper side of the transmission sensor. A plurality of reflective sensors provided at a fixed height from the floor surface. Then, the automatic ticket gate determines whether or not a discount fare is applied to a person passing through the ticket gate based on the results detected by the transmission sensor and the reflection sensor, and based on the determination result. To control the opening and closing of the automatic ticket gate.

JP 2005-309925 A

  However, in the above-described person detection device, when the person passing through the ticket gate is wearing clothes with high reflectivity such as gloss, the light emitted from the light emitting element of the reflective sensor passes through the person. In spite of hitting the object, the reflected light hitting the object does not return to the light receiving element, and there is a problem of outputting a detection result different from the actual one. Further, in the above-described person detection device, there is a problem in that when a plurality of persons are trying to pass simultaneously through the ticket gate passage and a plurality of persons overlap each other, a detection result indicating that the person is one person is output.

  The present invention has been made in view of the above-described problems, and an object thereof is to improve the accuracy of person detection.

Ticket gate system of the present invention is the above in a plurality of respective ticket gate passages of the automatic ticket gate, provided in a direction orthogonal to the passage direction of the ticket gate passage, wicket passage of the lower shoot around the wicket passage of the lower and A plurality of person detection means for acquiring detection information relating to a person passing through an adjacent ticket gate, and based on a plurality of detection information acquired by the plurality of person detection means, personal information of a person passing through the ticket gate And determining means for determining, and control means for controlling opening and closing of the door of the automatic ticket gate based on the person information determined by the determining means.

  By adopting such a configuration, since the person information of the person who passes through the ticket gate is comprehensively determined based on a plurality of detection information, the accuracy of person detection can be improved.

People sensing unit of the present invention is the above in a plurality of respective ticket gate passages of the automatic ticket gate, the provided in the direction orthogonal to the passage direction of the ticket gate passage, wicket passage of said lower taken around the ticket gate passage lower And a plurality of person detection means for acquiring detection information relating to a person passing through the adjacent ticket gate, and a management device for managing the plurality of person detection means, wherein the management apparatus includes the plurality of person detection means. Determining means for determining person information of a person passing through the ticket gate, based on a plurality of detection information acquired in step, transmitting means for transmitting the person information determined in the determining means to the automatic ticket checker, It is characterized by having.

  By adopting such a configuration, since the person information of the person who passes through the ticket gate is comprehensively determined based on a plurality of detection information, the accuracy of person detection can be improved.

Automatic ticket gate of the present invention is the above in a plurality of respective ticket gate passages of the automatic ticket gate, the provided in the direction orthogonal to the passage direction of the ticket gate passage, wicket passage of said lower taken around the ticket gate passage lower And a reception means for receiving a plurality of detection information from a plurality of person detection means for acquiring detection information relating to a person passing through an adjacent ticket gate, and the ticket gate based on the plurality of detection information received by the reception means. The information processing apparatus includes: a determination unit that determines person information of a person passing through the passage; and a control unit that controls opening / closing of the door based on the person information determined by the determination unit.

  By adopting such a configuration, since the person information of the person who passes through the ticket gate is comprehensively determined based on a plurality of detection information, the accuracy of person detection can be improved.

  According to the present invention, the accuracy of person detection can be improved.

Embodiments of the present invention will be described below with reference to the drawings.
(First embodiment)
FIG. 1 is a diagram illustrating an example of a configuration of a ticket gate system 100 according to the first embodiment.
The ticket gate system 100 includes a person detection unit 10 and an automatic ticket gate 11. The person detection unit 10 includes a plurality of sensors 12 (12a to 12c), which are examples of person detection means (person detection devices), and a management device 13. The sensor 12 and the management apparatus 13 are connected via connection means 14 such as a cable. The management device 13 and the automatic ticket gate 11 are connected via a communication means 15 such as a cable or wireless communication.

  In the first embodiment, first, the plurality of sensors 12 a to 12 c detect the person “A” passing through the ticket gate passage 16 of the automatic ticket gate 11. Next, the management apparatus 13 determines person information such as whether the person “A” is an adult, a dwarf, or an infant based on detection information from the plurality of sensors 12 a to 12 c. Next, in the automatic ticket gate 11, operations such as opening and closing of a door (door) are controlled based on the person information of the management device 13.

  Next, each component of the ticket gate system 100 will be described in detail. Each sensor 12a-12c is provided above the automatic ticket gate 11 and on the ceiling or the like of the station premises. Among the plurality of sensors 12 a to 12 c, the sensor 12 b is approximately at the center of the passage width of the ticket gate passage 16 of the automatic ticket gate 11 and is located above the approximate center of the passage length of the ticket gate passage 16. Of the plurality of sensors 12a to 12c, the sensors 12a and 12c are provided adjacent to both sides of the ticket gate passage 16 that are orthogonal to the passage direction with respect to the sensor 12b. More specifically, the sensor 12a and the sensor 12c are provided along a direction perpendicular to the passage direction of the ticket gate passage 16 with the sensor 12b as a reference.

  Next, the hardware configuration of the management apparatus 13 will be described with reference to FIG. FIG. 2 is a diagram illustrating an example of a hardware configuration of the person detection unit 10. The person detection unit 10 includes a plurality of sensors 12 a to 12 c and a management device 13. As shown in FIG. 2, the management device 13 includes a CPU 21, a ROM 22, a RAM 23, an HD 24, and a communication interface 25. The CPU 21 controls the management device 13 as a whole, and performs a process of determining personal information based on detection information transmitted by the plurality of sensors 12a to 12c, for example, according to a personal information determination program stored in the ROM 22. The ROM 22 stores an activation program for activating the management device 13, the above-described person information determination program, and the like. The RAM 23 is a working memory when the CPU 21 executes the above-described program, and temporarily stores detection information detected by the sensors 12a to 12c, for example. The HD 24 is an example of a storage device, and stores a template to be compared with detected detection information in a pattern matching process described later by the CPU 21. Depending on the specifications of the management apparatus 13, the personal information determination program may be stored in the HD 24. The communication interface 25 receives detection information from the sensors 12 a to 12 c and transmits personal information determined by the CPU 21 to the automatic ticket gate 11.

  Next, the hardware configuration of the automatic ticket gate 11 will be described with reference to FIGS. FIG. 3 is a diagram showing an example of the appearance of the automatic ticket gate 11. An automatic ticket gate 11 shown in FIG. 3 is a so-called dual-purpose automatic ticket gate having both entrance and exit functions. The automatic ticket gate 11 includes a pair of housings 31a and 31b, a ticket slot 32, a ticket outlet 33, an antenna unit 34, a display screen 35, doors 36a to 36d, and a passage indicator 37. , Including. A space formed between the pair of housings 31a and 31b serves as a ticket gate passage 16 when the user passes through the automatic ticket gate 11. The casings 31a and 31b accommodate a transport unit that transports a ticket inserted from the ticket slot 32 to the ticket outlet 33, a ticket gate controller 17 described later, and the like.

  The boarding ticket slot 32 is a slot for loading the boarding ticket into the automatic ticket gate 11. In addition, the boarding ticket outlet 33 is an outlet through which the ticket inserted from the boarding ticket slot 32 is discharged through the transport section. The antenna unit 34 has a function of reading information on the IC card and writing to the IC card. The display screen 35 is a display that displays the remaining amount of the IC card. The doors 36a to 36d are closed so that the user cannot pass through the ticket gate passage 16, or opened to allow the user to pass through the ticket gate passage 16. The passage indicator lamp 37 is turned on when a child ticket is inserted into the ticket slot 32 or when an abnormality occurs in the automatic ticket gate 11.

  FIG. 4 is a diagram showing an example of the hardware configuration of the ticket gate control device 17 and peripherals of the automatic ticket gate 11. In addition, the same code | symbol is attached | subjected about the structure same as FIG. 3, and the description is abbreviate | omitted. As shown in FIG. 4, the ticket gate control device 17 includes a CPU 41, a ROM 42, a RAM 43, an HD 44, and a communication interface 45. The CPU 41 controls the automatic ticket gate 11 as a whole, for example, executes a startup program stored in the ROM 42, reads a door opening / closing control program stored in the HD 44 into the RAM 43, and sends the personal information transmitted by the management device 13. Based on the above, processing for controlling the opening and closing of the doors 36a to 36d is performed. Note that the CPU 41 determines whether or not the boarding section and the amount of the ticket (including the IC card) inserted from the ticket insertion slot 32 match the actual boarding section and the amount as normal processing, and the determination result The door 36 is controlled to open and close accordingly. The ROM 42 stores the above-described activation program executed by the CPU 41 to activate the automatic ticket gate 11. The RAM 43 is a working memory when the CPU 41 executes the above-described program. The RAM 43 is a memory in which, for example, the personal information transmitted from the management device 13 is stored, or the door opening / closing control program stored in the HD 44 is read and stored by the CPU 41. The HD 44 is an example of a storage device, and stores the door opening / closing control program described above. The communication interface 45 receives person information from the management device 13 and transmits door opening / closing control signals to the doors 36a to 36d.

  Next, a process of determining person information based on detection information detected (or acquired) by the sensors 12a to 12c will be described. In this embodiment, a case where cameras (optical sensors) 12a to 12c are applied as the sensors 12a to 12c will be described. Here, FIG. 5 shows an example of a screen displayed when an image taken by the cameras 12a to 12c is virtually displayed on the display device. FIGS. 5A to 5C are diagrams showing examples of screens corresponding to images taken by the cameras 12a to 12c shown in FIG. The screens shown in FIGS. 5A to 5C are images when the person “A” is about to pass through the ticket gate 16 of the automatic ticket gate 11 as shown in FIG.

  Here, on the right side of the screen shown in FIG. 5A, the housing 31b located on the left side of the pair of housings 31a and 31b of the automatic ticket gate 11 is displayed. Also, on the right side of the casing 31b, an image obtained by photographing the person “A” who is going to pass through the ticket gate 16 of the automatic ticket gate 11 from obliquely above is displayed. Next, in the screen shown in FIG. 5B, an image in which the person “A” who is going to pass through the ticket gate 16 of the automatic ticket gate 11 is photographed from directly above is displayed at the center. In addition, a pair of housings 31a and 31b of the automatic ticket gate 11 are displayed on both sides of the person “A”. Next, on the left side of the screen shown in FIG. 5C, the casing 31a located on the right side of the pair of casings 31a and 31b of the automatic ticket gate 11 is displayed. On the left side of the casing 31a, an image obtained by photographing the person “A” who is going to pass through the ticket gate 16 of the automatic ticket gate 11 from diagonally above is displayed. Images captured as described above are continuously transmitted to the management apparatus 13 as detection information. Here, detection information of images taken by the cameras 12a to 12c will be described as image information below.

Next, processing for determining person information based on image information transmitted to the management apparatus 13 will be described with reference to the flowchart of FIG.
First, in step S10, the CPU 21 of the management apparatus 13 continuously receives a plurality of pieces of image information as shown in FIGS. 5A to 5C via the communication interface 25, and compares the received image information. Then, it is determined whether or not there is a change. Note that the CPU 21 identifies which of the cameras 12a to 12c is the image information captured by the camera based on the received image information transmission source information shown in FIGS. Can do. Therefore, the CPU 21 compares image information from the same camera and determines whether there is a change. If it is determined that there is a change in the image, the CPU 21 advances the process to step S11. If it is determined that there is no change in the image, the CPU 21 returns the process to step S10, and again determines a change in the image.

  In step S11, the CPU 21 determines whether or not a person's head is present in a predetermined area in the images shown in FIGS. Here, the predetermined area refers to, for example, a range in the ticket gate passage 16 of the automatic ticket gate 11 or a range including several meters before and after the ticket gate passage 16. The predetermined area is set in advance in, for example, a file stored in the HD 24 or the like. Whether or not a person's head is present is determined by the CPU 21 detecting a round shape of a certain size or more from the image information. More specifically, the CPU 21 performs so-called edge detection that detects a boundary between light and shade changes for each of a plurality of pieces of image information. The CPU 21 determines whether the detected edge has a round shape and the size is equal to or larger than a certain size. If there is a round shape of a certain size or larger, the CPU 21 determines that a person's head is present and proceeds to step S12. If there is no round shape of a certain size or more, the CPU 21 determines that there is no person's head, and returns the process to step S10 to determine image change again.

  At this time, the CPU 21 determines whether or not a round shape exists comprehensively based on a plurality of pieces of image information. That is, in an image taken from directly above as shown in FIG. 5B, the human head is taken in a round shape, but is taken obliquely as shown in FIG. 5A or 5C. In the image, the head including the human face is photographed in an elliptical shape. Therefore, when the shape displayed in FIG. 5B is a round shape close to a perfect circle and the shape displayed in FIG. 5A or FIG. Is determined to exist. Thus, the CPU 21 can improve the accuracy of person detection by determining whether or not a person's head exists based on a plurality of pieces of image information. In order to determine whether or not a person's head exists in a given area, the difference between the images of the same camera is taken to extract a moving area, and the person's head and the shape of the person's head are extracted from that area. May be determined. By taking the difference between the images in this way, even if a circular pattern is drawn on the floor, for example, an object that is stationary in the image is excluded from the detection target, so that erroneous detection can be prevented.

In step S12, the CPU 21 calculates the number of human heads. Here, the calculation of the number of person's heads is performed by attaching an identification number to the person's head detected in step S11 by the CPU 21 and counting the identification number.
Next, in step S13, the CPU 21 determines whether or not the calculated number of person's heads is one. When the calculated number of human heads is 1, the CPU 21 advances the process to step S14. When the calculated number of heads of the person is not one, that is, when the number is two or more, the CPU 21 advances the process to step S23.

  In step S14, the CPU 21 measures the height of the person's head. Here, the height of the head of the person can be measured by the binocular stereoscopic vision based on a plurality (two) of image information, that is, a so-called stereo camera method. The CPU 21 uses the image information shown in FIGS. 5A and 5B, the installation interval between the cameras 12a and 12b, and the focal points of the cameras 12a and 12b, and coordinates with the person's head as the measurement target point. Geometrically calculated by the stereo camera method. Although the case where the image information shown in FIGS. 5A and 5B is used to measure the height of a person's head has been described here, the present invention is not limited to this case, and FIG. Arbitrary two pieces of image information among a) to (c) may be used, and a total of three kinds of combinations for selecting two from the pieces of image information shown in FIGS. The height may be measured and the average may be calculated. Thus, the CPU 21 can measure the height of the person by using a plurality of pieces of image information.

  Depending on the camera mounting position and the shooting direction of the camera, a phenomenon may occur in which an image shot due to a disturbance such as sunlight is white, or a phenomenon in which an image cannot be shot due to an obstacle occurs. However, by shooting with multiple cameras with different mounting positions and shooting directions, even if the image information of one of the cameras is abnormal, it is possible to detect a person's head, Can be measured.

  Next, in step S15, the CPU 21 determines whether or not the measured head height of the person is within a predetermined height range. Here, the personal information includes, for example, an infant to whom no fare is applied, a dwarf to which a discounted fare is applied, and an adult to which a normal fare is applied. In the ticket gate system 100, the determination of the classification of the person information is performed based on the height of the person, that is, the height of the person's head. Therefore, first, in step S15, the CPU 21 determines whether or not the measured height of the person's head is within the range of the height of the dwarf or the adult. If it is determined that it is within the predetermined height range, the CPU 21 advances the process to step S16. If it is determined that it is not within the predetermined height range, the CPU 21 advances the process to step S26.

  In step S16, the CPU 21 determines whether or not the height of the person's head is higher than a threshold value. The determination in step S16 determines whether the height of the head of the person who is going through the ticket gate 16 of the automatic ticket gate 11 is the height of an adult. When the height of the person's head is higher than the threshold, the CPU 21 advances the process to step S17. If the head height of the person is not higher than the threshold, the CPU 21 advances the process to step S20.

  In step S <b> 17, the CPU 21 determines whether or not the received plurality of image information matches the image information as the template stored in the HD 24 of the management apparatus 13, that is, performs pattern matching processing. The HD 24 of the management apparatus 13 determines that the person information of the person who is going through the ticket gate 16 of the automatic ticket gate 11 is a dwarf even if the head height of the person is higher than the threshold. The image information is stored. More specifically, the HD 24 stores image information and the like that the dwarf attempts to pass through the ticket gate passage 16 with a balloon. For example, if the balloon held by the dwarf is positioned exactly at the height of the adult's head, in step S16, the CPU 21 determines that the height of the person's head is higher than the threshold value, and remains as it is. If the person who is going to pass 16 is an adult, different person information is determined. However, the CPU 21 performs a pattern matching process by comparing a plurality of pieces of image information with image information as a template stored in the HD 24 of the management apparatus 13 to determine whether the pieces of image information match or approximate. Thus, it is possible to prevent the person information from being determined as different person information. If they match or approximate, the CPU 21 proceeds to step S18. If they do not match or approximate, the CPU 21 proceeds to step S19.

In step S <b> 18, the CPU 21 determines that the person information of the person trying to pass through the ticket gate 16 is a dwarf.
In step S19, the CPU 21 determines that the person information of the person who is going to pass through the ticket gate 16 is an adult.
As described above, even when it is determined that the person who is going to pass through the ticket gate 16 is an adult, the pattern information is applied to the image information to which the dwarf is applied, thereby achieving higher accuracy. Human detection can be performed.

  In step S <b> 20, the CPU 21 determines whether or not the plurality of transmitted image information matches or approximates the image information as the template stored in the HD 24 of the management apparatus 13, that is, performs pattern matching processing. The HD 24 of the management apparatus 13 determines that the person information of the person who is going to pass through the ticket gate 16 of the automatic ticket gate 11 is not a dwarf even when the head height of the person is lower than the threshold value. The image information is stored. More specifically, the HD 24 stores image information and the like that an adult will bend through the ticket gate 16 and pass through. For example, if the adult is bent to the height of the head of the dwarf, in step S16, the CPU 21 determines that the height of the head of the person is lower than the threshold, and passes the ticket gate 16 as it is. The person information is determined to be a dwarf. However, the CPU 21 performs pattern matching processing by comparing a plurality of pieces of image information with image information as a template stored in the HD 24 of the management apparatus 13, and determines whether the pieces of image information match or approximate. Thus, it is possible to prevent the determination as different person information. If they match or approximate, the CPU 21 proceeds to step S21. If they do not match or approximate, the CPU 21 proceeds to step S22.

In step S <b> 21, the CPU 21 determines the person information of the person who is about to pass through the ticket gate 16 as a suspicious person.
In step S <b> 22, the CPU 21 determines that the person information of the person trying to pass through the ticket gate 16 is a dwarf.

  Thus, even when it is determined that the person who is going to pass through the ticket gate 16 is a dwarf, by performing pattern matching processing with image information to which a suspicious person is applied as personal information, More accurate person detection can be performed. In addition, although the case where the image information etc. that an adult tries to bend and pass through the ticket gate passage 16 is stored in the HD 24 has been described, for example, the image information that passes through the ticket gate passage 16 on a wheelchair is stored. Good. In this case, the CPU 21 performs a pattern matching process for comparing the received plurality of pieces of image information with image information that passes through the ticket gate passage 16 on a wheelchair.

  In step S13, when the number of human heads calculated by the CPU 21 is two or more, the CPU 21 advances the process to step S23. In step S23, the CPU 21 determines whether or not the person who is going to pass through the ticket gate 16 is a combination of an adult and an infant. More specifically, as described in step S14, the CPU 21 measures the height of the person's head for all the detected person's heads. Next, as described in step S15, the CPU 21 determines whether or not the measured head heights are within a predetermined height range. Next, as described in step S <b> 16, the CPU 21 determines whether or not the height of the person's head is higher than a threshold for all of the detected person's heads.

  If there is one head of a person whose height is higher than the threshold and one or more persons whose height is not within the predetermined height range, the CPU 21 determines that the combination is an adult and an infant, and step S24. Proceed with the process. If it is determined that the combination is not an adult and an infant, the CPU 21 advances the process to step S25.

In step S <b> 24, the CPU 21 determines the person information of the person who intends to pass through the ticket gate 16 as an adult and an infant.
In step S25, the CPU 21 determines the person information of the person who is going to pass through the ticket gate 16 as a suspicious person.

  If it is determined in step S15 that the measured person's head height is not within the predetermined height range, in step S26, the CPU 21 determines that the person information of the person who is about to pass through the ticket gate 16 is an infant.

  As described above, the CPU 21 of the management device 13 determines the person information of the person passing through the ticket gate 16 of the automatic ticket checker 11 based on the image information photographed by the plurality of cameras 12a to 12c. Then, the CPU 21 transmits the determined person information to the ticket gate control device 17 of the automatic ticket gate 11 via the communication interface 25.

  The CPU 41 of the ticket gate control device 17 receives person information via the communication interface 45. Next, the CPU 41 controls the operation of the automatic ticket gate 11 based on the received person information. As described above, the CPU 41 determines whether or not the section of the ticket is valid as a normal process, and controls the opening and closing of the door 36 according to the determination. Hereinafter, in addition to the determination of the normal process, a process for controlling the opening / closing of the door 36 based on the personal information received by the CPU 41 will be described. In the following, it is assumed that a ticket is inserted into the ticket slot 32.

First, when receiving the person information that the person who is going to pass through the ticket gate is an adult, the CPU 41 determines whether or not the inserted ticket is a ticket for a dwarf. When it is a boarding ticket, the door 36 is controlled to be closed. In the case of an adult ticket, the CPU 41 determines whether or not the section of the ticket is valid, and controls opening / closing of the door 36 according to the determination.
Next, when receiving the person information that the person who is going to pass through the ticket gate is a dwarf, the CPU 41 determines whether or not the section of the ticket is valid, and the result is the result of the determination. Accordingly, the door 36 is controlled to be opened and closed.
Next, when receiving personal information that the person who is going to pass through the ticket gate is a suspicious person, the CPU 41 performs control to close the door 36.
Next, when receiving the personal information that the person who is going to pass through the ticket gate is an infant, the CPU 41 performs control to open the door 36 even if the ticket is not inserted into the ticket slot 32.
In addition, when a plurality of persons trying to pass through the ticket gate passage receive personal information indicating that the combination is an adult and an infant, the CPU 41 determines whether or not the inserted ticket is a ticket for a dwarf. If the determination is for a dwarf, the door 36 is closed. In the case of an adult ticket, the CPU 41 determines whether or not the section of the ticket is valid, and controls opening / closing of the door 36 according to the determination.

  In the pattern matching process in step S17 or step S20 described above, the CPU 21 determines whether or not the template matches or approximates the template stored in the HD 24 based on a plurality of pieces of image information. For example, when the CPU 21 performs the pattern matching process for comparing the image information with the image information of the image that the adult is bent over, only the image information of the image photographed from directly above as shown in FIG. The crouched state is difficult to understand. Therefore, the CPU 41 is crooked by comparing the image information of the image photographed from an oblique direction with the corresponding template in a comprehensive manner as shown in FIG. 5A or 5C. Can be captured more accurately, and the accuracy of determination of whether to match or approximate can be improved.

  As described above, according to the first embodiment, since the CPU 21 of the management device 13 determines the person information based on the detection information of the plurality of sensors 12a to 12c, the accuracy of the determination of the person information can be improved. .

(Second Embodiment)
FIG. 7 is a diagram showing a configuration of a ticket gate system 200 according to the second embodiment. As shown in FIG. 7, in the second embodiment, the ticket gate system 200 includes a person detection unit 10 and a plurality of automatic ticket gates 11a to 11c. The person detection unit 10 includes a plurality of sensors 12 (12a to 12e), which are examples of person detection means (person detection devices), and a management device 13. Among the plurality of sensors 12a to 12e, the sensors 12b, 12c, and 12d are installed above the centers of the ticket gates 16a, 16b, and 16c of the automatic ticket gates 11a, 11b, and 11c, respectively. The sensors 12a to 12e are provided on the sides orthogonal to the passage directions of the ticket gate passages 16a to 16c of the automatic ticket gates 11a to 11c, respectively.

  In the present embodiment, the CPU 21 of the management device 13 determines the person information based on the detection information detected by the sensors 12a, 12b, and 12c for the person A who is about to pass through the ticket gate passage 16a of the automatic ticket gate 11a. Further, the CPU 21 determines the person information based on the detection information detected by the sensors 12b, 12c, and 12d for the person B who is about to pass through the ticket gate passage 16b of the automatic ticket gate 11b. Further, the CPU 21 determines the person information based on the detection information detected by the plurality of sensors 12c, 12d, and 12e for the person C who is about to pass through the ticket gate passage 16c of the automatic ticket gate 11c. As described above, according to the second embodiment, by setting a plurality of automatic ticket gates 11 (or ticket gate passages 16) adjacent to one sensor as a detection range, for example, for N automatic ticket gates 11 It is sufficient to provide at least N + 2 sensors without requiring 3 × N sensors, and the configuration of the ticket gate system 200 can be simplified.

(Third embodiment)
FIG. 8 is a diagram showing a configuration of a ticket gate system 300 according to the third embodiment. In the third embodiment, the person detection unit 10 includes a plurality of sensors 12a to 12c, and the management device 13 in the first and second embodiments is removed. The plurality of pieces of detection information detected by the plurality of sensors 12a to 12c are directly transmitted to the automatic ticket gate 11 through the connection means 14. The CPU 41 of the automatic ticket gate 11 receives a plurality of pieces of detection information via the communication interface 45, and performs personal information determination processing as shown in the flowchart of FIG. Further, the CPU 41 performs opening / closing control of the door 36 based on the determined person information.

In the present embodiment, the template for performing the pattern matching process is stored in the HD 44 of the ticket gate control device 17 shown in FIG. When the CPU 41 performs the person information determination process, the transmitted detection information (image information) is compared with the image information (template) stored in the HD 44 to perform the pattern matching process.
As described above, according to the third embodiment, since the person information determination process is performed by the ticket gate control device 17, the management device 13 can be removed, and the configuration of the ticket gate system 300 can be simplified.

  Thus, according to the present invention, the accuracy of person detection can be improved. In addition, although the 1st-3rd embodiment demonstrated the case where the some sensor 12 was provided along the direction orthogonal to the passage direction of a ticket gate path, it is not restricted to this case. For example, when one sensor is provided above the range of the ticket gate passage, the other sensors may be provided above the position deviated from the range of the ticket gate passage. In other words, the other sensors may be provided along a direction different from the direction of the ticket gate passage.

  Moreover, although the 1st-3rd embodiment demonstrated the case where the some sensor 12 was attached to the ceiling, it is not restricted to this case. For example, the plurality of sensors 12 may be attached to the lower surface or the like of an attachment base installed above. In addition, the sensor 12 has been described only in the case where the sensor 12 is located approximately at the center of the passage width of the ticket gate passage 16 of the automatic ticket gate 11 and located approximately above the center of the passage length of the ticket gate passage 16, but this is not a limitation. . For example, in the case of an entrance-only automatic ticket gate or an entrance-only automatic ticket gate, the sensor 12 is approximately the center of the passage width of the ticket gate passage 16 and is spaced upward from the center of the passage length of the ticket gate passage 16. It may be attached to.

  In the first to third embodiments, the camera has been described as an example of the person detection device. However, the present invention is not limited to this case. For example, a laser sensor, an infrared sensor, a macro wave sensor, an ultrasonic sensor, or the like may be used as the person detection device. Also. One person detection device may be configured by combining a plurality of types of sensors described above. Further, the adjacent person detection devices are not necessarily limited to the same type, and may be different types of sensors.

  A transmission sensor or a reflection sensor may be provided on the side surface of the casing of the automatic ticket gate 11. By determining the person information by adding the detection information of the transmission type sensor or the reflection type sensor to the detection information of the sensor 12, it is possible to further improve the accuracy of the determination of the person information. Moreover, the accuracy of door opening / closing can be further improved by controlling the opening / closing of the door 36 of the automatic ticket gate 11 by adding detection information of a transmission sensor or a reflection sensor to the determined person information.

  In the third embodiment, the person detection unit 10 may be configured such that a CPU is provided for each of the plurality of sensors 12a to 12c. In this case, for example, the CPUs of the sensors 12a to 12c perform image processing such as edge detection from detection information (image information) of the sensors 12a to 12c. The CPU 41 of the ticket gate control device 17 may determine the person information based on the detection information (image information) for which edge detection has already been performed, and can perform the person information determination process efficiently.

  As mentioned above, according to each embodiment mentioned above, the accuracy of person detection can be improved. As a result, it is possible to prevent a malfunction related to the opening and closing of the door in the automatic ticket gate.

It is a figure which shows an example of a structure of the ticket gate system which concerns on 1st Embodiment. It is a figure which shows an example of the hardware constitutions of a person detection unit. It is a figure which shows an example of the external appearance of an automatic ticket gate. It is a figure which shows an example of a ticket gate control apparatus of an automatic ticket gate, and peripheral hardware constitutions. It is a figure which shows an example of the screen corresponding to the image image | photographed with the camera. It is a flowchart which shows an example of the process which determines person information. It is a figure which shows the structure of the ticket gate system which concerns on 2nd Embodiment. It is a figure which shows the structure of the ticket gate system which concerns on 3rd Embodiment.

Explanation of symbols

100, 200, 300 Ticket gate system 10 Person detection unit 11 Automatic ticket gate 12 Person detection device 13 Management device 14 Connection means 15 Communication means 16 Ticket gate passage 17 Ticket gate control device 21 CPU
22 ROM
23 RAM
24 Storage device (HD)
25 Communication Interface 31 Housing 32 Passenger Ticket Entrance 33 Passenger Ticket Exit 34 Antenna Section 35 Display Screen 36 Door 37 Passage Indicator Light 41 CPU
42 ROM
43 RAM
44 Storage device (HD)
45 Communication interface

Claims (5)

An upper in a plurality of respective ticket gate passages of the automatic ticket gate, the provided in the direction orthogonal to the passage direction of the ticket gate passage, passes through the ticket gate passage ticket checker passage and adjacent the lower taken around the ticket gate passage lower A plurality of person detection means for acquiring detection information about the person;
Determining means for determining person information of a person passing through the ticket gate, based on a plurality of pieces of detection information acquired by the plurality of person detecting means;
Control means for controlling the opening and closing of the door of the automatic ticket gate based on the person information determined by the determining means;
The ticket gate system characterized by having. It is provided above the ticket gate passages on both sides of the plurality of ticket gate passages, respectively, on the side perpendicular to the passage direction of the ticket gate passages, thereby having the number of ticket passage passages + two person detection means. The ticket gate system according to claim 1. The person detection means is a camera that acquires image information about a person passing through the ticket gate as detection information,
3. The ticket gate system according to claim 1, wherein the determination unit determines person information of a person passing through the ticket gate, based on the image information. An upper in a plurality of respective ticket gate passages of the automatic ticket gate, the provided in the direction orthogonal to the passage direction of the ticket gate passage, passes through the ticket gate passage ticket checker passage and adjacent the lower taken around the ticket gate passage lower A plurality of person detection means for acquiring detection information about the person;
A management device for managing the plurality of person detection means;
Have
The management device
Determining means for determining person information of a person passing through the ticket gate, based on a plurality of pieces of detection information acquired by the plurality of person detecting means;
Transmitting means for transmitting the person information determined by the determining means to the automatic ticket gate;
A person detection unit comprising: An upper in a plurality of respective ticket gate passages of the automatic ticket gate, the provided in the direction orthogonal to the passage direction of the ticket gate passage, passes through the ticket gate passage ticket checker passage and adjacent the lower taken around the ticket gate passage lower Receiving means for receiving a plurality of detection information from a plurality of person detection means for obtaining detection information about the person;
Determining means for determining person information of a person passing through the ticket gate based on a plurality of detection information received by the receiving means;
An automatic ticket gate having control means for controlling opening / closing of the door based on the person information determined by the determining means.

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