Abstract: The paper presents the video vehicle detection algorithm based on virtual-line group. The algorithm uses virtual-line group to optimize the states of detection lines in both spatial domain and temporal domain by setting the domain-knowledge based rules. By synthesizing the optimization information in the larger spatio-temporal scale, the algorithm can improve the precision of vehicle detection. The experiment results and the detailed analysis demonstrate that the algorithm is real-time, accurate and robust.
External IDs:dblp:conf/apccas/Anan06
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