Moving Human Detection Based on Depth Interframe Difference

The objective of this paper is to propose a method of moving human detection based on depth video. The method used the interframe difference algorithm extract moving human contour from depth video. Due to the depth data provided by depth image, the image noise in the detection result is significantly reduced and the problem caused by human shadow in the detection based on ordinary video is solved. Experiments show that the method can improve the accuracy of the detection result and enhance robustness of moving human detection system.

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