A Holistic, In-Compression Approach to Video Segmentation for Independent Motion Detection

This paper develops a large scale surveillance video data unsupervised segmentation technique regarding whether there is a presence of independent motion. We propose a holistic, in-compression approach to efficient video segmentation. By efficient, we mean that the processing speed is close to or ev...

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Bibliographic Details
Published in:EURASIP journal on advances in signal processing 2008-01, Vol.2008 (7), p.1-9
Main Authors: ZHONGFEI ZHANG, KHAN, Haroon, ROBERTSON, Mark A
Format: Article
Language:English
Subjects:
Applied sciences
Exact sciences and technology
Image processing
Information, signal and communications theory
Miscellaneous
Signal and communications theory
Signal processing
Signal representation. Spectral analysis
Signal, noise
Telecommunications and information theory
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Summary:This paper develops a large scale surveillance video data unsupervised segmentation technique regarding whether there is a presence of independent motion. We propose a holistic, in-compression approach to efficient video segmentation. By efficient, we mean that the processing speed is close to or even faster than real-time in “normal†platforms (we do not assume using special hardware or any parallel machines) while still maintaining a good quality segmentation. Theoretical and experimental analyses demonstrate and validate the holistic, in-compression approach to solving for video segmentation problem for independent motion detection.
ISSN:1687-6172
1687-6180
DOI:10.1155/2008/738158