Title :
Video motion detection algorithm using probabilistic time integrated RANSAC
Author :
Nir, Tal ; Eden, Orit
Author_Institution :
Rafael Adv. Defense Syst. Ltd., Haifa, Israel
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;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6116112