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| Presentation | 2015-03-19 16:10 People Detection and Tracking by Spatio-Temporally Clustering Feature Points Huy Phan (Keio Univ.), Sho Isobe (OKI), Shota Takayama, Hirokatsu Kataoka (Keio Univ.), Naoki Kurita, Makoto Masuda (OKI), Yoshimitsu Aoki (Keio Univ)  BioX2014-59 PRMU2014-179 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The performance of detection and tracking systems greatly depends on the quality of its information sources. In general, occlusions and the sheer number of objects pose challenges to most appearance-based human detectors and data association algorithms used for tracking. Recent works based on feature point tracking and clustering have already begun to use motion information to segment independent objects, which are less computationally expensive. However, the frequently used Lucas-Kanade feature point tracker has limited accuracy; and tracking capability of these systems is not well defined. We now propose the use of Farneback optical flow to increase the reliability of feature point trackers. In addition, we also associate clustering results temporally by making use of the tracker’s continuity. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Feature Point / Clustering / Optical Flow / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 521, PRMU2014-179, pp. 123-127, March 2015. | |
| Paper # | PRMU2014-179 | |
| Date of Issue | 2015-03-12 (BioX, PRMU) | |
| ISSN | Print edition: ISSN 0913-5685 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 | BioX2014-59 PRMU2014-179 |
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| Conference Information | |
| Committee | PRMU BioX |
| Conference Date | 2015-03-19 - 2015-03-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2015-03-PRMU-BioX |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | People Detection and Tracking by Spatio-Temporally Clustering Feature Points |
| Sub Title (in English) | |
| Keyword(1) | Feature Point |
| Keyword(2) | Clustering |
| Keyword(3) | Optical Flow |
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| 1st Author's Name | Huy Phan |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Sho Isobe |
| 2nd Author's Affiliation | Oki Electric Industry Co., Ltd. (OKI) |
| 3rd Author's Name | Shota Takayama |
| 3rd Author's Affiliation | Keio University (Keio Univ.) |
| 4th Author's Name | Hirokatsu Kataoka |
| 4th Author's Affiliation | Keio University (Keio Univ.) |
| 5th Author's Name | Naoki Kurita |
| 5th Author's Affiliation | Oki Electric Industry Co., Ltd. (OKI) |
| 6th Author's Name | Makoto Masuda |
| 6th Author's Affiliation | Oki Electric Industry Co., Ltd. (OKI) |
| 7th Author's Name | Yoshimitsu Aoki |
| 7th Author's Affiliation | Keio University (Keio Univ) |
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| Speaker | Author-1 |
| Date Time | 2015-03-19 16:10:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | BioX2014-59, PRMU2014-179 |
| Volume (vol) | vol.114 |
| Number (no) | no.520(BioX), no.521(PRMU) |
| Page | pp.123-127 |
| #Pages | 5 |
| Date of Issue | 2015-03-12 (BioX, PRMU) |
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