Next Article in Journal
Classifier Subset Selection for the Stacked Generalization Method Applied to Emotion Recognition in Speech
Next Article in Special Issue
A Fast Multiple Sampling Method for Low-Noise CMOS Image Sensors With Column-Parallel 12-bit SAR ADCs
Previous Article in Journal
HyMoTrack: A Mobile AR Navigation System for Complex Indoor Environments
Previous Article in Special Issue
Simulated and Real Sheet-of-Light 3D Object Scanning Using a-Si:H Thin Film PSD Arrays
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(1), 7;

Parallax-Robust Surveillance Video Stitching

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


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

Figure 1

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).
Printed Edition Available!
A printed edition of this Special Issue is available here.

Share & Cite This Article

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top