JPWO2021241587A5 - - Google Patents
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- JPWO2021241587A5 JPWO2021241587A5 JP2022526590A JP2022526590A JPWO2021241587A5 JP WO2021241587 A5 JPWO2021241587 A5 JP WO2021241587A5 JP 2022526590 A JP2022526590 A JP 2022526590A JP 2022526590 A JP2022526590 A JP 2022526590A JP WO2021241587 A5 JPWO2021241587 A5 JP WO2021241587A5
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- counting
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- 238000013528 artificial neural network Methods 0.000 claims 2
- 238000009434 installation Methods 0.000 claims 2
- 238000003384 imaging method Methods 0.000 claims 1
Claims (10)
前記乗り物の少なくとも乗車人数又は降車人数を計数するための乗降者数計数装置と、
を有する乗降者数計数システムであって、
前記乗降者数計数装置は、
前記撮影装置からの映像を受信する受付部と、
前記映像に対して所定の画像処理手段を施すことにより、前記乗り物の少なくとも乗車人数又は降車人数を計数し、計数結果を出力する計数部と、
を含み、
前記計数部は、
前記撮影装置の設置場所及び前記映像の画角に基づいて、乗降者数計数用の判定線の画像上の位置を決定し、決定した位置に判定線を描写した後、人間と判定されたオブジェクトが前記判定線を通過する回数を計数することにより、乗降者数又は前記乗車人数及び/又は前記降車人数を集計し、
前記判定線の画像上の位置を決定するために、過去の映像情報に基づいて訓練されたニューラルネットワークを用いて、前記映像において乗客が乗降する際に通る確率が所定の確率基準を満たす位置を判定線の位置として決定する、
ことを特徴とする、乗降者数計数システム。 a photographing device installed so as to be able to photograph at least the entrance or exit of the vehicle;
a passenger counting device for counting at least the number of passengers boarding or exiting the vehicle;
A passenger number counting system having
The passenger number counting device
a reception unit that receives an image from the imaging device;
a counting unit that counts at least the number of people boarding or getting off the vehicle by subjecting the image to predetermined image processing means, and outputs a count result;
including
The counting unit
Based on the installation location of the photographing device and the angle of view of the image, the position of the determination line for counting the number of passengers is determined on the image, and after the determination line is drawn at the determined position, the object is determined to be a human being. By counting the number of times that passes through the judgment line, the number of passengers getting on and off or the number of passengers and / or the number of passengers getting off are counted,
In order to determine the position of the decision line on the image, a neural network trained based on past video information is used to determine a position in the video that satisfies a predetermined probability standard for the probability that passengers will pass when getting on and off. determined as the position of the judgment line,
A passenger number counting system characterized by:
前記映像の中から、前記乗り物の停車に対応する映像セグメントを判定する判定部を更に含み、
前記計数部は、
各映像セグメントにおいて、前記乗車人数と、前記降車人数とを計数し、各映像セグメントについて、前記乗車人数及び前記降車人数を前記計数結果として出力する、
ことを特徴とする、請求項1に記載の乗降者数計数システム。 The passenger number counting device
further comprising a determination unit for determining a video segment from the video corresponding to a stop of the vehicle;
The counting unit
counting the number of passengers and the number of people getting off in each video segment, and outputting the number of passengers and the number of people getting off for each video segment as the counting result;
The passenger number counting system according to claim 1, characterized by:
前記乗り物が移動する経路を示す経路情報と、前記各映像セグメントに埋め込まれている時間情報と、前記乗り物が停車する停留所に関する情報を含む経路情報とに基づいて、前記各映像セグメントの前記計数結果を、経路情報に指定されている経路上の停留所に対応付ける、
ことを特徴とする、請求項2に記載の乗降者数計数システム。 The passenger number counting device
counting each of the video segments based on route information indicating a route traveled by the vehicle, time information embedded in each of the video segments, and route information including information about stops at which the vehicle stops; Correlate the results with the stops on the route specified in the route information ,
The passenger number counting system according to claim 2, characterized by:
前記乗り物の停車に対応する映像セグメントにおいて、
人間に対応する第1のオブジェクトを判定し、
前記第1のオブジェクトが、第1の方向に沿って前記判定線を通過すると、乗降者数を加算し、
前記第1のオブジェクトが、前記第1の方向に対して実質的に反対の方向である第2の方向に沿って前記判定線を通過すると、乗降者数を減算する、
ことを特徴とする、請求項1記載の乗降者数計数システム。 The counting unit
In the video segment corresponding to the stopping of the vehicle,
determining a first object corresponding to a human;
adding the number of passengers when the first object passes the determination line along the first direction;
subtracting the number of passengers when the first object passes through the decision line along a second direction that is substantially opposite to the first direction;
The passenger number counting system according to claim 1 , characterized by:
自動車、バス、電車、モノレール、船舶、及び飛行機から選択されるものである、
ことを特徴とする、請求項1乃至請求項4のいずれかに記載の乗降者数計数システム。 The vehicle is
is selected from automobiles, buses, trains, monorails, ships, and airplanes;
The passenger number counting system according to any one of claims 1 to 4 , characterized in that:
乗り物の少なくとも乗り口又は降り口を撮影可能に設置された撮影装置からの映像を受信する受付部と、
前記映像に対して所定の画像処理手段を施すことにより、前記乗り物の少なくとも乗車人数又は降車人数を計数し、計数結果を出力する計数部と、
を含み、
前記計数部は、
前記撮影装置の設置場所及び前記映像の画角に基づいて、乗降者数計数用の判定線の画像上の位置を決定し、決定した位置に判定線を描写した後、人間と判定されたオブジェクトが前記判定線を通過する回数を計数することにより、乗降者数又は前記乗車人数及び/又は前記降車人数を集計し、
前記判定線の画像上の位置を決定するために、過去の映像情報に基づいて訓練されたニューラルネットワークを用いて、前記映像において乗客が乗降する際に通る確率が所定の確率基準を満たす位置を判定線の位置として決定する、
乗降者数計数装置。 A passenger number counting device,
a reception unit for receiving an image from a photographing device installed so as to photograph at least an entrance or exit of a vehicle;
a counting unit that counts at least the number of people boarding or getting off the vehicle by subjecting the image to predetermined image processing means, and outputs a count result;
including
The counting unit
Based on the installation location of the photographing device and the angle of view of the image, the position of the determination line for counting the number of passengers is determined on the image, and after the determination line is drawn at the determined position, the object is determined to be a human being. By counting the number of times that passes through the judgment line, the number of passengers getting on and off or the number of passengers and / or the number of passengers getting off are counted,
In order to determine the position of the decision line on the image, a neural network trained based on past video information is used to determine a position in the video that satisfies a predetermined probability standard for the probability that passengers will pass when getting on and off. determined as the position of the judgment line,
Passenger counting device.
前記映像の中から、前記乗り物の停車に対応する映像セグメントを判定する判定部を更に含み、
前記計数部は、
各映像セグメントにおいて、前記乗車人数と、前記降車人数とを計数し、各映像セグメントについて、前記乗車人数及び前記降車人数を前記計数結果として出力する、
ことを特徴とする、請求項6に記載の乗降者数計数装置。 The passenger number counting device
further comprising a determination unit for determining a video segment from the video corresponding to a stop of the vehicle;
The counting unit
counting the number of passengers and the number of people getting off in each video segment, and outputting the number of passengers and the number of people getting off for each video segment as the counting result;
The passenger number counting device according to claim 6 , characterized in that:
前記乗り物が移動する経路を示す経路情報と、前記各映像セグメントに埋め込まれている時間情報と、前記乗り物が停車する停留所に関する情報を含む経路情報とに基づいて、各映像セグメントの前記計数結果を、経路情報に指定されている経路上の停留所に対応付ける、
ことを特徴とする、請求項7に記載の乗降者数計数装置。 The passenger number counting device
The counting result of each video segment based on the route information indicating the route along which the vehicle travels, the time information embedded in each of the video segments, and the route information including information about stops at which the vehicle stops. to the stops on the route specified in the route information ,
The passenger number counting device according to claim 7 , characterized in that:
前記乗り物の停車に対応する映像セグメントにおいて、
人間に対応する第1のオブジェクトを判定し、
前記第1のオブジェクトが、第1の方向に沿って前記判定線を通過すると、乗降者数を加算し、
前記第1のオブジェクトが、前記第1の方向に対して実質的に反対の方向である第2の方向に沿って前記判定線を通過すると、乗降者数を減算する、
ことを特徴とする、請求項6に記載の乗降者数計数装置。 The counting unit
In the video segment corresponding to the stopping of the vehicle,
determining a first object corresponding to a human;
adding the number of passengers when the first object passes the determination line along the first direction;
subtracting the number of passengers when the first object passes through the decision line along a second direction that is substantially opposite to the first direction;
The passenger number counting device according to claim 6 , characterized in that:
自動車、バス、電車、モノレール、船舶、及び飛行機から選択されるものである、
ことを特徴とする、請求項6乃至請求項9のいずれかに記載の乗降者数計数装置。
The vehicle is
is selected from automobiles, buses, trains, monorails, ships, and airplanes;
The passenger number counting device according to any one of claims 6 to 9 , characterized in that:
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2020092837 | 2020-05-28 | ||
JP2020092837 | 2020-05-28 | ||
PCT/JP2021/019827 WO2021241587A1 (en) | 2020-05-28 | 2021-05-25 | Passenger counting system and passenger counting device |
Publications (3)
Publication Number | Publication Date |
---|---|
JPWO2021241587A1 JPWO2021241587A1 (en) | 2021-12-02 |
JPWO2021241587A5 true JPWO2021241587A5 (en) | 2023-01-25 |
JP7303384B2 JP7303384B2 (en) | 2023-07-04 |
Family
ID=78744053
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2022526590A Active JP7303384B2 (en) | 2020-05-28 | 2021-05-25 | Passenger number counting system and passenger number counting device |
Country Status (2)
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JP (1) | JP7303384B2 (en) |
WO (1) | WO2021241587A1 (en) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114724365A (en) * | 2022-03-29 | 2022-07-08 | 深圳市综合交通与市政工程设计研究总院有限公司 | Public transport passenger capacity collection system based on positioning information |
CN114511821B (en) * | 2022-04-18 | 2022-07-26 | 深圳市爱深盈通信息技术有限公司 | Statistical method and system for number of persons getting on and off, computer equipment and storage medium |
JP2023182967A (en) * | 2022-06-15 | 2023-12-27 | 株式会社日立ソリューションズ | Bus embarkation/disembarkation counting system and method |
JP7279241B1 (en) | 2022-08-03 | 2023-05-22 | セーフィー株式会社 | system and program |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
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JP5674857B2 (en) * | 2013-05-10 | 2015-02-25 | 技研トラステム株式会社 | Passenger counting device |
KR102109648B1 (en) | 2019-12-03 | 2020-05-12 | 주식회사 핀텔 | System for detecting free riding of public transportation using face recognition of deep learning and method thereof |
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2021
- 2021-05-25 WO PCT/JP2021/019827 patent/WO2021241587A1/en active Application Filing
- 2021-05-25 JP JP2022526590A patent/JP7303384B2/en active Active
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