In this paper, we present a novel approach to keyframe-based tracking, called bi-directional tracking. Given two object templates in the beginning and ending keyframes, the bi-directional tracker outputs the MAP (maximum a posterior) solution of the whole state sequence of the target object in the Bayesian framework. First, a number of 3D trajectory segments of the object are extracted from the input video, using a novel trajectory segment analysis. Second, these disconnected trajectory segments due to occlusion are linked by a number of inferred occlusion segments. Last, the MAP solution is obtained by trajectory optimization in a coarse-to-fine manner. Experimental results show the robustness of our approach with respect to sudden motion, ambiguity, and short and long periods of occlusion.
Bidirectional tracking using trajectory segment analysis
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 ; 1 ; 717-724 Vol. 1
2005-01-01
1238461 byte
Conference paper
Electronic Resource
English
Bi-directional Tracking Using Trajectory Segment Analysis
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