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- Publisher Website: 10.1109/ICPR.2010.861
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Conference Paper: Detection based low frame rate human tracking
Title | Detection based low frame rate human tracking |
---|---|
Authors | |
Keywords | Ambiguous tracklets Data association Long time occlusion Low frame rate tracking |
Issue Date | 2010 |
Publisher | IEEE, Computer Society. |
Citation | The 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, 23-26 August 2010. In Proceedings of 20th ICPR, 2010, p. 3529-3532 How to Cite? |
Abstract | Tracking by association of low frame rate detection responses is not trivial, as motion is less continuous and hence ambiguous. The problem becomes more challenging when occlusion occurs. To solve this problem, we firstly propose a robust data association method that explicitly differentiates ambiguous tracklets that are likely to introduce incorrect linking from other tracklets, and deal with them effectively. Secondly, we solve the long-time occlusion problem by detecting inter-track relationship and performing track split and merge according to appearance similarity and occlusion order. Experiment on a challenging human surveillance dataset shows the effectiveness of the proposed method. © 2010 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/137721 |
ISSN | 2023 SCImago Journal Rankings: 0.584 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, L | en_HK |
dc.contributor.author | Yung, NHC | en_HK |
dc.date.accessioned | 2011-08-26T14:32:26Z | - |
dc.date.available | 2011-08-26T14:32:26Z | - |
dc.date.issued | 2010 | en_HK |
dc.identifier.citation | The 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, 23-26 August 2010. In Proceedings of 20th ICPR, 2010, p. 3529-3532 | en_HK |
dc.identifier.issn | 1051-4651 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/137721 | - |
dc.description.abstract | Tracking by association of low frame rate detection responses is not trivial, as motion is less continuous and hence ambiguous. The problem becomes more challenging when occlusion occurs. To solve this problem, we firstly propose a robust data association method that explicitly differentiates ambiguous tracklets that are likely to introduce incorrect linking from other tracklets, and deal with them effectively. Secondly, we solve the long-time occlusion problem by detecting inter-track relationship and performing track split and merge according to appearance similarity and occlusion order. Experiment on a challenging human surveillance dataset shows the effectiveness of the proposed method. © 2010 IEEE. | en_HK |
dc.language | eng | en_US |
dc.publisher | IEEE, Computer Society. | en_US |
dc.relation.ispartof | Proceedings of the International Conference on Pattern Recognition, ICPR 2010 | en_HK |
dc.rights | ©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.subject | Ambiguous tracklets | en_HK |
dc.subject | Data association | en_HK |
dc.subject | Long time occlusion | en_HK |
dc.subject | Low frame rate tracking | en_HK |
dc.title | Detection based low frame rate human tracking | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1051-4651&volume=&spage=3529&epage=3532&date=2010&atitle=Detection+based+low+frame+rate+human+tracking | en_US |
dc.identifier.email | Yung, NHC:nyung@eee.hku.hk | en_HK |
dc.identifier.authority | Yung, NHC=rp00226 | en_HK |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1109/ICPR.2010.861 | en_HK |
dc.identifier.scopus | eid_2-s2.0-78149488624 | en_HK |
dc.identifier.hkuros | 190983 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-78149488624&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.spage | 3529 | en_HK |
dc.identifier.epage | 3532 | en_HK |
dc.publisher.place | United States | en_HK |
dc.description.other | The 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, 23-26 August 2010. In Proceedings of 20th ICPR, 2010, p. 3529-3532 | - |
dc.identifier.scopusauthorid | Wang, L=35728037200 | en_HK |
dc.identifier.scopusauthorid | Yung, NHC=7003473369 | en_HK |
dc.identifier.issnl | 1051-4651 | - |