Paper
7 May 2003 Recovering the tracked object shape by dual-region growing
Jean Gao, Akio Kosaka
Author Affiliations +
Proceedings Volume 5022, Image and Video Communications and Processing 2003; (2003) https://doi.org/10.1117/12.476703
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
For the majority of object tracking scenario, the emphasis has been put on achieving robust motion estimation under different situations. In this paper, besides introducing a multiple frame based 3D motion estimation to handle the partial occlusion problem, we present an object shape delineation scheme by dual region growing. As it is well-known, the problem of shape extraction of a moving object undergoing self-occlusion is highly ill-posed. Approaches have been proposed by assuming the similarity of object pixels in the vicinities of the boundaries between the current frame and the previous one. Such an assumption is usually broken down when occlusion occurs; instead, our implementation is based on a stronger assumption. The system consists of (i) a multi-frame motion estimation, (ii) dual-region growing, and (iii) boundary points arbitration. This method is shown to recover favorable object shape during the tracking process.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jean Gao and Akio Kosaka "Recovering the tracked object shape by dual-region growing", Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); https://doi.org/10.1117/12.476703
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KEYWORDS
Image segmentation

Motion estimation

Cameras

Head

Image processing

Video

Digital filtering

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