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| A Moving Targets Detection Approach to Remove the Fluctuant
Interference in Video Sequences |
| Zhou Jian-feng,Su Xiao-hong,Ma Pei-jun |
| School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China |
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Abstract In order to remove the fluctuant interference such as swaying branches，stochastic shaking of camera in complex environments when moving targets are detected in video sequences, A new algorithm of moving targets detection based on video windows partition and classification is proposed. First of all, the image sequences are divided into numbers of video windows at size r×c. Then the simple statistical feature is extracted from the matrix of accumulated frame differences in the window. According to the feature, the video windows is divided into two categories in each frame，moving object windows and non-moving object windows including static background windows and fluctuant interference windows. Finally all moving object windows are merged into the moving targets. The advantage of this method is that no knowledge about the background model and object size or shape is necessary. The results show that the algorithm can rapidly and validly detect the moving objects in complex environments with the fluctuant interference such as swaying branches and stochastic shaking of camera.
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Received: 19 January 2009
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Corresponding Authors:
Su Xiao-hong
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2010, Vol. 32 
