Moving Object Detection Based on Clausius Entropy

Jonghyun PARK  Wanhyun CHO  Gueesang LEE  Soonyoung PARK  

IEICE TRANSACTIONS on Information and Systems   Vol.E94-D   No.2   pp.388-391
Publication Date: 2011/02/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E94.D.388
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
moving object detection,  adaptive Gaussian distribution,  Clausius entropy,  foreground extraction,  

Full Text: PDF>>
Buy this Article

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.