| Presentation | 2023-03-02 [Poster Presentation] Improvement of human flow measurement using flor estimation on depth images Takuya Nagatoshi, Michiharu Niimi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Measuring human flow to determine the number of people and flow lines in a space is a useful decision-making tool when considering evacuation routes，products，store displays，and so on．However，existing methods using RGB cameras，such as surveillance cameras have a privacy problem because face and clothing information is acquired at the same time when identifying a person．In this paper，we propose a system that uses depth information，which represents the distance from the sensor，instead of color information to do both measure human flow and protect privacy．Specifically，we describe a method for detecting the position and number of persons based on depth information．The proposed method is based on the background subtraction method, which prepares a reference depth image and extracts moving regions from one frame extracted from the video depth image. Furthermore, we aim to achieve high-precision people flow measurement by combining the following three elements: segmentation of moving objects using edge information, identification of human areas using floor information, and human tracking using areas where people overlap in the direction of the time axis. Experiments were also conducted and evaluated in a real space using a program that implements the presented method． |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | privacy protection / depth map / people detection / people tracking / measuring human flow / V disparity map |
| Paper # | EMM2022-74 |
| Date of Issue | 2023-02-23 (EMM) |
| Conference Information | |
| Committee | EMM |
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| Conference Date | 2023/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Fukue culture hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Ryoichi Nishimura(NICT) |
| Vice Chair | Kotaro Sonoda(Nagasaki Univ.) / Masatsugu Ichino(Univ. of Electro-Comm.) |
| Secretary | Kotaro Sonoda(Kaishi Professional Univ.) / Masatsugu Ichino(Chiba Univ.) |
| Assistant | Tomoko Kajiyama(Hiroshima City Univ.) / Shieyuki Sakazawa(Osaka Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Enriched MultiMedia |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Improvement of human flow measurement using flor estimation on depth images |
| Sub Title (in English) | |
| Keyword(1) | privacy protection |
| Keyword(2) | depth map |
| Keyword(3) | people detection |
| Keyword(4) | people tracking |
| Keyword(5) | measuring human flow |
| Keyword(6) | V disparity map |
| 1st Author's Name | Takuya Nagatoshi |
| 1st Author's Affiliation | Kyushu Institute of Technology(KIT) |
| 2nd Author's Name | Michiharu Niimi |
| 2nd Author's Affiliation | Kyushu Institute of Technology(KIT) |
| Date | 2023-03-02 |
| Paper # | EMM2022-74 |
| Volume (vol) | vol.122 |
| Number (no) | EMM-412 |
| Page | pp.pp.38-43(EMM), |
| #Pages | 6 |
| Date of Issue | 2023-02-23 (EMM) |