National Changhua University of Education Institutional Repository : Item 987654321/10373

English | 正體中文 | 简体中文 | Items with full text/Total items : 6507/11669
Visitors : 30008695 Online Users : 450

RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Scope Adv. Search

Login ‧ Upload ‧ Help ‧ About ‧ Administer

NCUEIR > College of Engineering > eedept > Proceedings > Item 987654321/10373

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/10373

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

Files in This Item:

File	Size	Format
index.html	0Kb	HTML	645	View/Open