Parallax-Robust Surveillance Video Stitching
AbstractThis paper presents a parallax-robust video stitching technique for timely synchronized surveillance video. An efficient two-stage video stitching procedure is proposed in this paper to build wide Field-of-View (FOV) videos for surveillance applications. In the stitching model calculation stage, we develop a layered warping algorithm to align the background scenes, which is location-dependent and turned out to be more robust to parallax than the traditional global projective warping methods. On the selective seam updating stage, we propose a change-detection based optimal seam selection approach to avert ghosting and artifacts caused by moving foregrounds. Experimental results demonstrate that our procedure can efficiently stitch multi-view videos into a wide FOV video output without ghosting and noticeable seams. View Full-Text
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He, B.; Yu, S. Parallax-Robust Surveillance Video Stitching. Sensors 2016, 16, 7.
He B, Yu S. Parallax-Robust Surveillance Video Stitching. Sensors. 2016; 16(1):7.Chicago/Turabian Style
He, Botao; Yu, Shaohua. 2016. "Parallax-Robust Surveillance Video Stitching." Sensors 16, no. 1: 7.
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