Volume 14 - Issue 6
Kalman and Camshift Algorithm for Tracking Fast Moving Object through Image Processing
Abstract
In modern world, video surveillance play the major role in monitoring and its is used in security sensitive areas like main roads ,banks, play grounds and highways etc. The human operator and the storage devices are overloaded by increasing the cameras in ordinary surveillance system, the efficient use of video surveillance is Remote Video Monitoring, prevent Copper Theft, internet security camera system and smartly requires speed, veracious and potent algorithm for active analysis in detection, classification and tracking the moving object .It can be used in detecting the indoor and outdoor environment by illumination condition. The detection of shape of the object is used to make classification algorithm in pre-defined classes. The classes like group of person or the things. In full occlusion cases, the kalman and camshift tracking algorithm is successfully tracks video occlusion.
Paper Details
PaperID: 181062
Author's Name: K.S. Archana, B. Joshna and A. Saritha
Volume: Volume 14
Issues: Issue 6
Keywords: Occlusion, Camshift, Kalman Filter, Video Surveillance.
Year: 2018
Month: December
Pages: 134-138