A Holistic, In-Compression Approach to Video Segmentation for Independent Motion Detection. (12th March 2008)

• Record Type: Journal Article
• Authors: Zhang Zhang, Zhongfei (Mark) Zhongfei (Mark); Khan Khan, Haroon Haroon; Robertson Robertson, Mark A. Mark A.
• Other Names: Yang Yang Jar-Ferr Jar-Ferr Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2008(2008)
• Publication Date: 2008-03-12
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2008/738158
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : 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.