Improved intelligent scissors and snake-based VOP interpolation for semi-automatic video object segmentation

Gaobo Yang; ZhaoYang Zhang; Jie Chen

doi:10.1117/12.539071

25 September 2003 Improved intelligent scissors and snake-based VOP interpolation for semi-automatic video object segmentation

Gaobo Yang, ZhaoYang Zhang, Jie Chen

Author Affiliations +

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539071
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

Object-based segmentation of image sequences is one of the issues often arise in the world of video processing and communications. In this paper, a robust semiautomatic video object segmentation scheme is proposed. To facilitate users defining the initial object contour efficiently and accurately, an improved intelligent scissors is proposed by trading off the accuracy of original intelligent scissors and the simplicity of bounding box. To avoid the accumulated errors during object tracking, video sequence is firstly decomposed into video clips according to the rigidity of video object and the motion complexity. Then a snake-based bi-directional tracking is utilized to interpolate the video object planes (VOPs) of successive frames. Experimental results demonstrate that it can achieve better spatial accuracy and temporal coherency than COST211 AM, with about 10-22% improvement of spatial accuracy and almost the same temporal coherency.

Citation Download Citation

Gaobo Yang, ZhaoYang Zhang, and Jie Chen "Improved intelligent scissors and snake-based VOP interpolation for semi-automatic video object segmentation", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539071

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