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Moving Object Detection Based on Clausius Entropy

Jonghyun PARK, Wanhyun CHO, Gueesang LEE, Soonyoung PARK

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Summary :

This paper proposes a novel image segmentation method based on Clausius entropy and adaptive Gaussian mixture model for detecting moving objects in a complex environment. The results suggest that the proposed method performs better than existing methods in extracting the foreground in various video sequences composed of multiple objects, lighting reflections, and background clutter.

Publication
IEICE TRANSACTIONS on Information Vol.E94-D No.2 pp.388-391
Publication Date
2011/02/01
Publicized
Online ISSN
1745-1361
DOI
10.1587/transinf.E94.D.388
Type of Manuscript
LETTER
Category
Image Recognition, Computer Vision

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