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Proceedings Paper

Real-time image sequence segmentation using curve evolution
Author(s): Jun Zhang; Weisong Liu
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Paper Abstract

In this paper, we describe a novel approach to image sequence segmentation and its real-time implementation. This approach uses the 3D structure tensor to produce a more robust frame difference signal and uses curve evolution to extract whole objects. Our algorithm is implemented on a standard PC running the Windows operating system with video capture from a USB camera that is a standard Windows video capture device. Using the Windows standard video I/O functionalities, our segmentation software is highly portable and easy to maintain and upgrade. In its current implementation on a Pentium 400, the system can perform segmentation at 5 frames/sec with a frame resolution of 160 by 120.

Paper Details

Date Published: 27 April 2001
PDF: 12 pages
Proc. SPIE 4303, Real-Time Imaging V, (27 April 2001); doi: 10.1117/12.424958
Show Author Affiliations
Jun Zhang, Univ. of Wisconsin/Milwaukee (United States)
Weisong Liu, Univ. of Wisconsin/Milwaukee (United States)


Published in SPIE Proceedings Vol. 4303:
Real-Time Imaging V
Nasser Kehtarnavaz, Editor(s)

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