A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic moving object and background separation
Signal Processing - Video segmentation for content-based processing manipulation
Computer Vision
Spatio-temporal video segmentation using a joint similarity measure
IEEE Transactions on Circuits and Systems for Video Technology
Unsupervised video segmentation based on watersheds and temporal tracking
IEEE Transactions on Circuits and Systems for Video Technology
Fast and automatic video object segmentation and tracking for content-based applications
IEEE Transactions on Circuits and Systems for Video Technology
Efficient moving object segmentation algorithm using background registration technique
IEEE Transactions on Circuits and Systems for Video Technology
A three-stage approach to shadow field estimation from partial boundary information
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
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An efficient algorithm to segment the moving object is very important in the surveillance system. In general, the change detection by comparing brightness value is a good and simple method, but it shows a poor performance under illumination change. Therefore, we propose the segmentation algorithm to extract effectively the object in spite of the illumination change. There are three modes to extract the object, the criteria of mode selection are both available background existence and illumination change. Then the object is finally obtained by using projection and the morphological operator in post-processing. Furthermore, the double binary method using the similarity of brightness value and spatial proximity is used to obtain more edge information. A good segmentation performance is demonstrated by the simulation result.