Occlusion handling based on sub-blobbing in automated video surveillance system
May 2011
Pages 139 - 143
Abstract
Object tracking with occlusion handling is a challenging problem in automated video surveillance. In particular, occlusion handling and tracking have been often considered as separate modules. This paper proposes a tracking method in the context of video surveillance, where occlusions are automatically detected and handled to solve ambiguities. Hence, the tracking process can continue to track the different moving objects correctly. The proposed approach is based on sub-blobbing, that is, blobs representing moving objects are segmented into sections whenever occlusions occur. These sub-blobs are then treated as blobs with the occluded ones ignored. By doing so, the tracking of objects has become more accurate and less sensitive to occlusions. We have also used a feature-based framework for identifying the tracked objects, where several flexible attributes were involved. Experiments on several videos have clearly demonstrated the success of the proposed method.
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Index Terms
- Occlusion handling based on sub-blobbing in automated video surveillance system
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Published In
May 2011
162 pages
ISBN:9781450306263
DOI:10.1145/1992896
- General Chair:
- Bipin C. Desai,
- Program Chairs:
- Alain Abran,
- Sudhir P. Mudur
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Published: 16 May 2011
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C3S2E '11: Fourth International C* Conference on Computer Science & Software Engineering
May 16 - 18, 2011
Quebec, Montreal, Canada
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