Abstract
This paper proposes a new video stitch method based on the exposure adjustment and nonlinear fusion. To solve the challenging problem of exposure difference between cameras, we propose the exposure adjustment method to deal with luminance difference among images in the YCrCb color space; As for the ghosting problem in the video stitch, we propose a nonlinear fusion algorithm based on, which achieves a much better performance than traditional linear fusion method, especially when there is a big disparity between cameras. The proposed method is real-time and efficient for a video surveillance system.
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Yang, L., Du, D., Zhang, B., Yang, W. (2015). A Panoramic Video System Based on Exposure Adjustment and Non-linear Fusion. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_59
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DOI: https://doi.org/10.1007/978-3-319-25417-3_59
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