An Approach to Fast and Robust Detecting of Moving Target in Video Sequences
QIN Xiao-yan1, YUAN Guang-lin1, LI Cong-li2, ZHANG Xu1
1. Eleventh Department, Army Officer Academy of PLA, Hefei, Anhui 230031, China;
2. Third Department, Army Officer Academy of PLA, Hefei Anhui 230031, China
Abstract：Sparse representation is one of effective methods in dealing with the moving object detection.However,the quickness and robustness of object detection are far from being solved in the existing methods.In this paper,a fast and robust moving object detection model based on the maximum posteriori probability is proposed,and a two-stage detection algorithms is designed.At the first stage,sparse coefficient is quickly solved by using coding transfer; At the second stage,based on spatial continuity structure,moving object detection is achieved by using graph cut.The experimental results on several challenging image sequences show that the proposed method has better performance than the existing classical moving object detection algorithms in rapidity and robustness.
秦晓燕, 袁广林, 李从利, 张旭. 一种快速鲁棒的视频序列运动目标检测方法[J]. 电子学报, 2017, 45(10): 2355-2361.
QIN Xiao-yan, YUAN Guang-lin, LI Cong-li, ZHANG Xu. An Approach to Fast and Robust Detecting of Moving Target in Video Sequences. Acta Electronica Sinica, 2017, 45(10): 2355-2361.
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2017, Vol. 45 
