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Open AccessArticle

Parallax-Robust Surveillance Video Stitching

by 1,* and 2
1
School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
2
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; https://doi.org/10.3390/s16010007
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. https://doi.org/10.3390/s16010007

AMA Style

He B, Yu S. Parallax-Robust Surveillance Video Stitching. Sensors. 2016; 16(1):7. https://doi.org/10.3390/s16010007

Chicago/Turabian Style

He, Botao; Yu, Shaohua. 2016. "Parallax-Robust Surveillance Video Stitching" Sensors 16, no. 1: 7. https://doi.org/10.3390/s16010007

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