SIAM Journal on Numerical Analysis
Motion Analysis for Image Sequence Coding
Motion Analysis for Image Sequence Coding
Approximate vehicle waiting time estimation using adaptive video-based vehicle tracking
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
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In this paper we address two important problems in motion analysis: the detection of moving objects and their localization. Statistical and level set approaches are adopted in order to formulate these problems. For the change detection problem, the inter-frame Difference is modeled by a mixture of two zero-mean Laplacian distributions. At first, statistical tests using criteria with negligible error probability are used for labeling as many as possible sites as changed or unchanged. All the connected components of the labeled sites are seed regions, which give the initial level sets, for which velocity fields for label propagation are provided.We introduce a new multi-label fast marching algorithm for expanding competitive regions. The solution of the localization problem is based on the map of changed pixels previously extracted. The boundary of the moving object is determined by a level set algorithm, which is initialized by two curves evolving in converging opposite directions. The sites of curve contact determine the position of the object boundary. For illustrating the efficiency of the proposed approach, experimental results are presented using real video sequences.