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Video auto stitching in multicamera surveillance system

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成果类型:
期刊论文、会议论文
作者:
He, Bin;Zhao, Gang;Liu, Qifang;Li, Yangyang
通讯作者:
Zhao, G.(zhaogang@mail.ccnu.edu.cn)
作者机构:
[Zhao, Gang] National Engineering Research Center for E-Learning, Huazhong Normal University, Wuhan, China
[Li, Yangyang; Zhao, Gang; He, Bin; Liu, Qifang] Department of Information Technology, Huazhong Normal University, Wuhan, China
语种:
英文
关键词:
video stitching;camera pose estimation;boundary resampling
期刊:
Proceedings of SPIE - The International Society for Optical Engineering
ISSN:
0277-786X
年:
2012
卷:
8349
会议名称:
4th International Conference on Machine Vision (ICMV) - Machine Vision, Image Processing and Pattern Analysis
会议论文集名称:
Proceedings of SPIE
会议时间:
DEC 09-10, 2011
会议地点:
Singapore, SINGAPORE
会议赞助商:
Singapore Inst Elect (SIE), Int Assoc Comp Sci & Informat Technol (IACSIT)
主编:
Zeng, Z Li, Y
出版地:
1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
出版者:
SPIE-INT SOC OPTICAL ENGINEERING
ISBN:
978-0-8194-9025-4
机构署名:
本校为第一机构
院系归属:
教育信息技术学院
国家数字化学习工程技术研究中心
摘要:
This paper concerns the problem of video stitching automatically in a multi-camera surveillance system. Previous approaches have used multiple calibrated cameras for video mosaic in large scale monitoring application. In this work, we formulate video stitching as a multi-image registration and blending problem, and not all cameras are needed to be calibrated except a few selected master cameras. SURF is used to find matched pairs of image key points from different cameras, and then camera pose is estimated and refined. Homography matrix is employed to calculate overlapping pixels and finally i...

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