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2009
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Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses

8 years 8 months ago
Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses
This paper presents an online detection-based two-stage multi-object tracking method in dense visual surveillances scenarios with a single camera. In the local stage, a particle filter with observer selection that could deal with partial object occlusion is used to generate a set of reliable tracklets. In the global stage, the detection responses are collected from a temporal sliding window to deal with ambiguity caused by full object occlusion to generate a set of potential tracklets. The reliable tracklets generated in the local stage and the potential tracklets generated within the temporal sliding window are associated by Hungarian algorithm on a modified pairwise tracklets association cost matrix to get the global optimal association. This method is applied to the pedestrian class and evaluated on two challenging datasets. The experimental results prove the effectiveness of our method.
Junliang Xing, Haizhou Ai, Shihong Lao
Added 17 Feb 2011
Updated 17 Feb 2011
Type Journal
Year 2009
Where CVPR
Authors Junliang Xing, Haizhou Ai, Shihong Lao
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