Abstract:For the demand of accuracy and integrity of moving object detection,the spatial space information which was used in static image segmentation algorithm and the temporal space information which was used in moving object detection were combined,and a spatial-temporal joint detection method based on MRF-MAP frame was proposed.In spatial detection,it used the Mean-Shift algorithm.In temporal detection,it used frame difference method which was confined by significance level.Then the spatial-temporal joint MFR model and the corresponding energy function were made,the ideal results on moving object detection can be obtained by resolving the optimal solution of the energy function.
赵彤洲 王海晖. MFR-MAP相结合的运动目标检测方法研究[J]. , 2010, 1(10): 0-0.
Zhao Tongzhou Wang Haihui. The Research of Moving Object Detection Based on MRF-MAP Theory. , 2010, 1(10): 0-0.