NDLI: Adaptive modulation in MIMO system under power and QoS constraints

Content Provider	IEEE Xplore Digital Library
Author	Mao Ling Xie Mei
Copyright Year	2007
Description	Author affiliation: Univ. of Electron. Sci. & Technol. of China, Chengdu (Mao Ling; Xie Mei)
Abstract	An image segmentation method for separating moving objects from background in video sequences is addressed in this paper. The proposed method utilizes spatio-temporal information. Firstly, the global motion is estimated, in which adaptive rood pattern search (ARPS) method is adopted to search the best match block, decreasing computation load. Then, colour information is incorporated into getting the frame difference. For getting the initial contour of moving objects in the image sequence, two consecutive image frames are examined and a hypothesis testing is preformed by comparing two variance estimates from the frame difference of two consecutive images, which results in an F-test, indicating moving areas(foreground) and nonmoving areas(background). Lastly, an improved active contour algorithm, gradient vector flow (GVF) snake, is performed to refine the initial contour and to find precise object boundary eventually. This paper presents various experimental results. Simulation results show that the proposed method gives better performance in terms of the computational efficiency and the segmentation accuracy.
Starting Page	180
Ending Page	183
File Size	1009031
Page Count	4
File Format	PDF
ISBN	9781424414734
DOI	10.1109/ICCCAS.2007.4348159
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Change detection algorithms Motion estimation Video sequences Signal processing algorithms Object detection Computational efficiency MPEG 4 Standard Testing Active contours
Content Type	Text
Resource Type	Article

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