TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Disjoint Particle Filter to Track Multiple Objects in Real-time |
| 영문제목(English Title) |
Disjoint Particle Filter to Track Multiple Objects in Real-time |
| 저자(Author) |
YoungJoon Chai
Hyunki Hong
TaeYong Kim
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| 원문수록처(Citation) |
VOL 08 NO. 05 PP. 1711 ~ 1725 (2014. 05) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Multi-target tracking is the main purpose of many video surveillance applications. Recently, multi-target tracking based on the particle filter method has achieved robust results by using the data association process. However, this method requires many calculations and it is inadequate for real time applications, because the number of associations exponentially increases with the number of measurements and targets. In this paper, to reduce the computational cost of the data association process, we propose a novel multi-target tracking method that excludes particle samples in the overlapped predictive region between the target to track and marginal targets. Moreover, to resolve the occlusion problem, we define an occlusion mode with the normal dynamic mode. When the targets are occluded, the mode is switched to the occlusion mode and the samples are propagated by Gaussian noise without the sampling process of the particle filter. Experimental results demonstrate the robustness of the proposed multi-target tracking method even in occlusion.
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| 키워드(Keyword) |
Visual tracking
multiple target tracking
particle filter
real-time surveillance
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| 파일첨부 |
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