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Novel Thresholding Algorithm for Change Detection in Video SequenceNovel Thresholding Algorithm for Change Detection in Video Sequence

Other Titles
Novel Thresholding Algorithm for Change Detection in Video Sequence
Authors
Kim, Byung GyuPark, DJ
Issue Date
May-2004
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Citation
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E87D, no.5, pp 1271 - 1275
Pages
5
Journal Title
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Volume
E87D
Number
5
Start Page
1271
End Page
1275
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/148951
ISSN
1745-1361
Abstract
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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Kim, Byung Gyu
공과대학 (인공지능공학부)
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