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- W2376757311 abstract "For real-time detection of moving object,the general and simple method is based on background image difference.However, the background image don’t update timely along with the surveillance illumination variance, which limits its applications. To over-come the above problem, a new self-adaptive background updating algorithm is first presented in this paper. Moreover, the differential binary image is obtained. And then a self-adaptive threshold segmentation method for moving object detection based on spread function criteria is developed and implemented.Experimental results demonstrate that the proposed new background updating method can update the background exactly and quickly along with the variance of illumination,and the self-adaptive threshold segmentation method based on spread function criteria can extract the moving object regions accurately and completely, which is the foundation for further objects recognition and understanding." @default.
- W2376757311 created "2016-06-24" @default.
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- W2376757311 date "2009-01-01" @default.
- W2376757311 modified "2023-09-24" @default.
- W2376757311 title "Moving Object Detection Based on Self-Adaptive Background in Video Sequences" @default.
- W2376757311 hasPublicationYear "2009" @default.
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