Video auto stitching in multicamera surveillance system

Bin He; Gang Zhao; Qifang Liu; Yangyang Li

doi:10.1117/12.920157

13 January 2012 Video auto stitching in multicamera surveillance system

Bin He, Gang Zhao, Qifang Liu, Yangyang Li

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 834913 (2012) https://doi.org/10.1117/12.920157
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

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.

Citation Download Citation

Bin He, Gang Zhao, Qifang Liu, and Yangyang Li "Video auto stitching in multicamera surveillance system", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834913 (13 January 2012); https://doi.org/10.1117/12.920157

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