Parallax-Robust Surveillance Video Stitching

Sensors

Botao He¹  Shaohua Yu² 

[1] School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, ChinaWuhan Research Institute of Posts and Telecommunications, Wuhan 430074, China;

关键词: video stitching;    video surveillance;    layered warping;    parallax;   

DOI  :  10.3390/s16010007

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.