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Title: Motion Detection by Using Entropy Image and Adaptive State-Labeling Technique
Authors: Chang, Meng-chou;Cheng, Yong-Jie
Contributors: 電子工程學系
Date: 2007-05
Issue Date: 2012-05-22T06:47:02Z
Publisher: IEEE
Abstract: This paper proposes an improved motion detection
method based on the entropy image and the adaptive statelabeling
algorithm. In our method, a spatio-temporal sliding
window is built for each pixel, and the pixels in the sliding
window are assigned state labels according to our adaptive
state-labeling technique. The state label distribution in the
sliding window is used to construct the entropy image, in which
a pixel with lower entropy is considered as part of a moving
object. In this paper, we have compared our motion detection
method with the MRF (Markov random field) based method,
the STEI (spatio-temporal entropy image) method, and the
DSTEI (difference-based spatio-temporal entropy image)
method. Experimental results show that our motion detection
method is robust and has lower computational complexity.
Relation: The 2007 IEEE International Symposium on Circuits and Systems, May 27-30, 2007: 3667-3670
Appears in Collections:[eedept] Proceedings

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