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Open AccessArticle

Parallax-Robust Surveillance Video Stitching

by 1,* and 2
School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
Wuhan Research Institute of Posts and Telecommunications, Wuhan 430074, China
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Sensors 2016, 16(1), 7;
Received: 7 October 2015 / Revised: 30 November 2015 / Accepted: 17 December 2015 / Published: 25 December 2015
(This article belongs to the Special Issue Imaging: Sensors and Technologies)
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. View Full-Text
Keywords: video stitching; video surveillance; layered warping; parallax video stitching; video surveillance; layered warping; parallax
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MDPI and ACS Style

He, B.; Yu, S. Parallax-Robust Surveillance Video Stitching. Sensors 2016, 16, 7.

AMA Style

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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