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Conference Paper: Human detection in crowded scenes
Title | Human detection in crowded scenes |
---|---|
Authors | |
Keywords | Human detection Implicit shape model Occlusions |
Issue Date | 2010 |
Publisher | I E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349 |
Citation | The 17th IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, 26-29 September 2010. In Proceedings of the 17th ICIP, 2010, p. 721-724 How to Cite? |
Abstract | In this paper, our focus is to segment the foreground area for human detection. It is assumed that the foreground region has been detected. Accurate foreground contours are not required. The developed approach adopts a modified ISM (Implicit Shape Model) to collect some typical local patches of human being and their location information. Individuals are detected by grouping some local patches in the foreground area. The method can get good results in crowded scenes. Some examples based on CAVIAR dataset have been shown. A main contribution of the paper is that ISM model and joint occlusion analysis are combined for individual segmentation. There are mainly two advantages: First, with more sufficient information inside the foreground region, even the individuals inside a dense area can also be handled. Secondly, the method does not require an accurate foreground contour. A rough foreground area can be easily obtained in most situations. © 2010 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/129701 |
ISSN | 2020 SCImago Journal Rankings: 0.315 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Hou, YL | en_HK |
dc.contributor.author | Pang, GKH | en_HK |
dc.date.accessioned | 2010-12-23T08:41:08Z | - |
dc.date.available | 2010-12-23T08:41:08Z | - |
dc.date.issued | 2010 | en_HK |
dc.identifier.citation | The 17th IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, 26-29 September 2010. In Proceedings of the 17th ICIP, 2010, p. 721-724 | en_HK |
dc.identifier.issn | 1522-4880 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/129701 | - |
dc.description.abstract | In this paper, our focus is to segment the foreground area for human detection. It is assumed that the foreground region has been detected. Accurate foreground contours are not required. The developed approach adopts a modified ISM (Implicit Shape Model) to collect some typical local patches of human being and their location information. Individuals are detected by grouping some local patches in the foreground area. The method can get good results in crowded scenes. Some examples based on CAVIAR dataset have been shown. A main contribution of the paper is that ISM model and joint occlusion analysis are combined for individual segmentation. There are mainly two advantages: First, with more sufficient information inside the foreground region, even the individuals inside a dense area can also be handled. Secondly, the method does not require an accurate foreground contour. A rough foreground area can be easily obtained in most situations. © 2010 IEEE. | en_HK |
dc.language | eng | en_US |
dc.publisher | I E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349 | en_HK |
dc.relation.ispartof | Proceedings of the 17th IEEE International Conference on Image Processing, ICIP 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 | Human detection | en_HK |
dc.subject | Implicit shape model | en_HK |
dc.subject | Occlusions | en_HK |
dc.title | Human detection in crowded scenes | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1522-4880&volume=&spage=721&epage=724&date=2010&atitle=Human+detection+in+crowded+scenes | - |
dc.identifier.email | Pang, GKH:gpang@eee.hku.hk | en_HK |
dc.identifier.authority | Pang, GKH=rp00162 | en_HK |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1109/ICIP.2010.5651982 | en_HK |
dc.identifier.scopus | eid_2-s2.0-78651089997 | en_HK |
dc.identifier.hkuros | 176498 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-78651089997&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.spage | 721 | en_HK |
dc.identifier.epage | 724 | en_HK |
dc.identifier.isi | WOS:000287728000178 | - |
dc.publisher.place | United States | en_HK |
dc.description.other | The 17th IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, 26-29 September 2010. In Proceedings of the 17th ICIP, 2010, p. 721-724 | - |
dc.identifier.scopusauthorid | Hou, YL=25651509000 | en_HK |
dc.identifier.scopusauthorid | Pang, GKH=7103393283 | en_HK |
dc.identifier.issnl | 1522-4880 | - |