Multiple target tracking by appearance-based condensation tracker using structure information

Junji Satake, Takeshi Shakunaga

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

12 Citations (Scopus)

Abstract

Multiple target tracking is a challenging problem, especially when targets are frequently crossing each other. It becomes very difficult and confusing when some targets are often occluded by other targets. This paper proposes a novel tracking method for the problem using an appearance-based condensation tracker. In order to overcome difficulties in the occlusion problem, a target object is regarded as a set of parts that constrains each other in the target structure. While each part is tracked basically in the condensation method, all the parts cooperate in the drift step of the condensation. Experimental results show the effectiveness of the proposed method for multiple person tracking and human face tracking.

Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
EditorsJ. Kittler, M. Petrou, M. Nixon
Pages294-297
Number of pages4
DOIs
Publication statusPublished - Dec 20 2004
EventProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom
Duration: Aug 23 2004Aug 26 2004

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume3
ISSN (Print)1051-4651

Other

OtherProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
CountryUnited Kingdom
CityCambridge
Period8/23/048/26/04

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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