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27 April 2001 Real-time image sequence segmentation using curve evolution
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Proceedings Volume 4303, Real-Time Imaging V; (2001) https://doi.org/10.1117/12.424958
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Zhang and Weisong Liu "Real-time image sequence segmentation using curve evolution", Proc. SPIE 4303, Real-Time Imaging V, (27 April 2001); https://doi.org/10.1117/12.424958
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