Summary
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Novel Thresholding Algorithm for Change Detection in Video Sequence Byung-Gyu KIM Dong-Jo PARK Publication IEICE TRANSACTIONS on Information and Systems Vol.E87-D No.5 pp.1271-1275 Publication Date: 2004/05/01 Online ISSN: DOI: Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Pattern Recognition Keyword: image difference, change detection, adaptive thresholding, image model, Full Text: PDF(772KB)>>
Summary: A novel thresholding algorithm for change detection in video sequences is proposed. The method is based on image differencing and the intensity distribution of a difference image. With a difference image between two consecutive images, we prepare a new image model for the distribution of stationary pixels. The distribution of moving pixels is then separated by extracting the distribution of stationary pixels from the overall distribution of the difference image. Pixels that exhibit a significant change in intensity are classified using a likelihood criterion. The proposed algorithm is tested on the standard MPEG sequences and verified to have reliable performance. | ||||||||||
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