NDLI: A novel spatio-temporal video object segmentation algorithm

Content Provider	IEEE Xplore Digital Library
Author	Shiping Zhu Xi Xia Qingrong Zhang Belloulata, K.
Copyright Year	2008
Description	Author affiliation: Dept. of Meas. Control&Inf. Technol., Beihang Univ., Beijing (Shiping Zhu; Xi Xia; Qingrong Zhang)
Abstract	Video object segmentation is a key technology in video processing, which is the foundation of the newly object-based video compression standard MPEG-4. A novel spatio-temporal video object segmentation algorithm is proposed in this paper, which is very efficient to acquire the video object moving in a static background. Firstly, video sequence is segmented with change detection algorithm to get segmentation result in temporal domain. Secondly, the spatial segmentation result is obtained by a segmentation algorithm based on local thresholds, which means each pixel in the image has its own threshold. In this algorithm, the threshold of a pixel in an image is estimated by calculating the mean of the grayscale values of its neighbor pixels, and the square variance of the grayscale values of the neighbor pixels is also calculated as an additional judge condition. Thirdly, the video object is extracted by spatio-temporal integration video segmentation algorithm. The experimental results show that the proposed spatio-temporal integration video object segmentation algorithm can extract the moving object in a video sequence with a static background accurately and efficiently.
Starting Page	1
Ending Page	5
File Size	411930
Page Count	5
File Format	PDF
ISBN	9781424417056
DOI	10.1109/ICIT.2008.4608672
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pixel Image segmentation Object segmentation Change detection algorithms Algorithm design and analysis Video sequences Image edge detection spatio-temporal integration image segmentation video object segmentation change detection
Content Type	Text
Resource Type	Article

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