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Sensors 2016, 16(1), 7; doi:10.3390/s16010007

Parallax-Robust Surveillance Video Stitching

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
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)
View Full-Text   |   Download PDF [2668 KB, uploaded 25 December 2015]   |  

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. View Full-Text
Keywords: video stitching; video surveillance; layered warping; parallax video stitching; video surveillance; layered warping; parallax
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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

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