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Subsequence-Wise Approach for Online Tracking
Abstract
This chapter is concerned with online object tracking, which aims to locate a given object in each of the consecutive frames. Many algorithms have been proposed to deal with this problem. Most make a decision in each frame, failing to consider the inner relationship among these decisions. However, the relation among these decisions is important if they can be fused together. Intuitively, human beings do not make a decision in a single frame and always explore the temporal information contained in neighboring frames, and then make decisions for all these neighboring frames. This chapter proposes a novel framework, which views the tracking as a sequence of decisions, with each subsequence of decisions corresponding to a subsequence of the video. Such an approach is described as a subsequence-wise approach. This framework considers the relation among the states in different frames, and it is ready to be incorporated into many related tracking techniques.
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