Part based human tracking in a multiple cues fusion framework

Qi Zhao, Jinman Kang, Hai Tao, Wei Hua

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

This paper presents a real time video surveillance system which is capable of tracking multiple humans simultaneously. To better deal with various challenging issues such as occlusions, sharp motion changes and multi-person confusions, we propose an intelligent fusion framework where multiple cues are combined to seek the optimal objects state and more reliable cues have larger influences on the final decision. Further, part based human tracking provides a second-level information fusion in that parts with weak observability can be compensated by tracking other more visible ones, which demonstrates its effectiveness for highly articulated objects like humans.

Original languageEnglish (US)
Title of host publicationProceedings - 18th International Conference on Pattern Recognition, ICPR 2006
Pages450-455
Number of pages6
DOIs
StatePublished - Dec 1 2006
Event18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
Duration: Aug 20 2006Aug 24 2006

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume1
ISSN (Print)1051-4651

Other

Other18th International Conference on Pattern Recognition, ICPR 2006
CountryChina
CityHong Kong
Period8/20/068/24/06

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