DocumentCode
2824944
Title
Video motion detection algorithm using probabilistic time integrated RANSAC
Author
Nir, Tal ; Eden, Orit
Author_Institution
Rafael Adv. Defense Syst. Ltd., Haifa, Israel
fYear
2011
fDate
11-14 Sept. 2011
Firstpage
2349
Lastpage
2352
Abstract
Video motion detection (VMD) is a critical task demanded for surveillance and monitoring applications for both static and moving camera setup. A new VMD algorithm is proposed: the probabilistic time integrated RANSAC (PTIR) which robustly detects and tracks objects in the difficult long range scenario. The problem of detecting long range moving objects in a wide field of view from a moving camera is difficult especially in poor visibility, cluttered and noisy environments. The suggested method also copes with cases where no time correspondence information is available. The experimental results demonstrate the performance and robustness of the proposed method.
Keywords
cameras; motion estimation; video surveillance; long range moving objects; probabilistic time integrated RANSAC; video motion detection algorithm; Cameras; Data models; Monte Carlo methods; Noise; Probabilistic logic; Robustness; Trajectory; Motion detection; RANSAC;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location
Brussels
ISSN
1522-4880
Print_ISBN
978-1-4577-1304-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2011.6116112
Filename
6116112
Link To Document