title: Parallax-Robust Surveillance Video Stitching.
abstract: This 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.
authors.affiliation: School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China. hebotao@hust.edu.cn.
authors.forename: Botao
authors.initials: B
authors.lastname: He
authors.affiliation: Wuhan Research Institute of Posts and Telecommunications, Wuhan 430074, China. shyu@fhzz.com.cn.
authors.forename: Shaohua
authors.initials: S
authors.lastname: Yu
keywords: layered warping; parallax; video stitching; video surveillance