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| Presentation | 2019-03-05 14:25 Tracking Multiple Pedestrians Using the Network of Human Detectors Kyosuke Konishi, Hiroshi Kameda (Mitsubishi Electric Corp.)  ASN2018-112 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Tracking indoor pedestrians makes logistics in a factory effective and a security system in a building accurate. Conventional approaches to track pedestrians use the wireless device attatched to pedestrians or use the surveillance camera. However, the field of view of a camera tends to be narrowed in a building, and it is an impractical prerequisite that each of the interested pedestrians has the wireless device. This paper proposes the alternative approach using the network of human detectors. The difficulty of this approach is that a human detector can observe only whether the pedestrians are in its detectable area. To overcome this drawback, the proposed method uses the estimation algorithm based on statistics of Random Finite Sets. This feature makes it possible to estimate individual tracks of pedestrians with human detectors even if false detections and miss detections occur. Simulations are used to verify the our approach. The result of them illustrates that the proposed method achieves better performance than a straightforward method, which makes tracks with connecting positions of human detectors. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | pedestrian / tracking / human detector / Random Finite Sets / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 468, ASN2018-112, pp. 203-208, March 2019. | |
| Paper # | ASN2018-112 | |
| Date of Issue | 2019-02-25 (ASN) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | ASN2018-112 |
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| Conference Information | |
| Committee | ASN MoNA IPSJ-MBL IPSJ-UBI |
| Conference Date | 2019-03-04 - 2019-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | The University of Tokyo, Komaba Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | ASN |
| Conference Code | 2019-03-ASN-MoNA-MBL-UBI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Tracking Multiple Pedestrians Using the Network of Human Detectors |
| Sub Title (in English) | |
| Keyword(1) | pedestrian |
| Keyword(2) | tracking |
| Keyword(3) | human detector |
| Keyword(4) | Random Finite Sets |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kyosuke Konishi |
| 1st Author's Affiliation | Mitsubishi Electric Corporation (Mitsubishi Electric Corp.) |
| 2nd Author's Name | Hiroshi Kameda |
| 2nd Author's Affiliation | Mitsubishi Electric Corporation (Mitsubishi Electric Corp.) |
| 3rd Author's Name | |
| 3rd Author's Affiliation | () |
| 4th Author's Name | |
| 4th Author's Affiliation | () |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2019-03-05 14:25:00 |
| Presentation Time | 25 minutes |
| Registration for | ASN |
| Paper # | ASN2018-112 |
| Volume (vol) | vol.118 |
| Number (no) | no.468 |
| Page | pp.203-208 |
| #Pages | 6 |
| Date of Issue | 2019-02-25 (ASN) |
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