Paper Abstract and Keywords |
Presentation |
2013-09-02 17:30
Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information
-- Object Tracking under Occlusion -- Kourosh Meshgi, Yu-zhe Li, Shigeyuki Oba, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) PRMU2013-42 IBISML2013-22 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Object tracking has attracted recent attention because of high demands for its everyday-life applications. Handling occlusions especially in cluttered environments introduced new challenges to the tracking problem; identity loss, splitting/merging, shape changes, shadows and other appearance artifacts trouble appearance-based tracking techniques. Depth-maps provide necessary clues to retrieve occluded objects after they reappear, recombine split group of objects, compensate drastic appearance changes, and reduce the effect of appearance artifacts. In this study, we not only proposed a consistent way of integrating color and depth information in a particle filter framework to efficiently perform the tracking task, but also enhanced the previous color-based particle filtering to achieve trajectory independence and consistency with respect to the target scale. We also exploited local characteristics to represent the target objects and proposed a novel confidence measure for them. Appling to simple tracking problems, the performance of our method is discussed thoroughly. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
RGB-D particle filter / depth map / explicit occlusion handling / enhanced bounding box / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 197, IBISML2013-22, pp. 85-91, Sept. 2013. |
Paper # |
IBISML2013-22 |
Date of Issue |
2013-08-26 (PRMU, IBISML) |
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) |
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PRMU2013-42 IBISML2013-22 |
Conference Information |
Committee |
PRMU IBISML IPSJ-CVIM |
Conference Date |
2013-09-02 - 2013-09-03 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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Paper Information |
Registration To |
IBISML |
Conference Code |
2013-09-PRMU-IBISML-CVIM |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information |
Sub Title (in English) |
Object Tracking under Occlusion |
Keyword(1) |
RGB-D particle filter |
Keyword(2) |
depth map |
Keyword(3) |
explicit occlusion handling |
Keyword(4) |
enhanced bounding box |
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1st Author's Name |
Kourosh Meshgi |
1st Author's Affiliation |
Kyoto University (Kyoto Univ.) |
2nd Author's Name |
Yu-zhe Li |
2nd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
3rd Author's Name |
Shigeyuki Oba |
3rd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
4th Author's Name |
Shin-ichi Maeda |
4th Author's Affiliation |
Kyoto University (Kyoto Univ.) |
5th Author's Name |
Shin Ishii |
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Kyoto University (Kyoto Univ.) |
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Speaker |
Author-1 |
Date Time |
2013-09-02 17:30:00 |
Presentation Time |
30 minutes |
Registration for |
IBISML |
Paper # |
PRMU2013-42, IBISML2013-22 |
Volume (vol) |
vol.113 |
Number (no) |
no.196(PRMU), no.197(IBISML) |
Page |
pp.85-91 |
#Pages |
7 |
Date of Issue |
2013-08-26 (PRMU, IBISML) |
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