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Proceedings Paper

Video auto stitching in multicamera surveillance system
Author(s): Bin He; Gang Zhao; Qifang Liu; Yangyang Li
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Paper Abstract

This paper concerns the problem of video stitching automatically in a multi-camera surveillance system. Previous approaches have used multiple calibrated cameras for video mosaic in large scale monitoring application. In this work, we formulate video stitching as a multi-image registration and blending problem, and not all cameras are needed to be calibrated except a few selected master cameras. SURF is used to find matched pairs of image key points from different cameras, and then camera pose is estimated and refined. Homography matrix is employed to calculate overlapping pixels and finally implement boundary resample algorithm to blend images. The result of simulation demonstrates the efficiency of our method.

Paper Details

Date Published: 13 January 2012
PDF: 5 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834913 (13 January 2012); doi: 10.1117/12.920157
Show Author Affiliations
Bin He, Huazhong Normal Univ. (China)
Gang Zhao, Huazhong Normal Univ. (China)
Qifang Liu, Huazhong Normal Univ. (China)
Yangyang Li, Huazhong Normal Univ. (China)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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