CASIA OpenIR  > 09年以前成果
Person-Tracking with Occlusion Using Appearance Filters
Bai, P; Qiao, H; Wan, AH; Liu, Y
2006
Conference NameIEEE/RSJ International Conference on Intelligent Robots and Systems
Source Publication2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, Vols 1-12
Conference DateOCT 09-13, 2006
Conference PlaceBeijing, PEOPLES R CHINA
AbstractTo deal with the problem of tracking person with a mobile robot in dynamic scene with occlusion, a tracking system is presented in this paper. We focus on the individual person tracking system, which is applied on our two-wheel mobile robot with a single PTZ(pan-tilt-zoom) camera. The tracking system works reliably in the dynamic environment with partial/complete occlusion. For the sake of complete occlusion, we use several filters and spatial relation restriction to represent the target model. These filters are all based on the appearance of the target, and each filter models a part of human body which is more rigid than the entire body. To construct a tracking system, the situation-based strategy and a simple frame-to-frame tracker are involved in the system, and an improved meanshift tracking algorithm is applied as the tracker in this paper. Finally, experimental results on tracking individual person with complete occlusion in different environments are shown, which demonstrate the robustness and effectiveness of the algorithm.
KeywordPerson Tracking With a Mobile Robot Appearance Filters Occlusion Handling Strategy
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12853
Collection09年以前成果
Corresponding AuthorBai, P
Recommended Citation
GB/T 7714
Bai, P,Qiao, H,Wan, AH,et al. Person-Tracking with Occlusion Using Appearance Filters[C],2006.
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