Multiple Object Tracking by Kernel Based Centroid Method for Improve Localization
An approach for tracking multiple objects in single frame in which the centroid of objects are taken as central component is proposed. The feature histogram based target representations are regularised by isotropic kernel. The target localization problem will be formulated by attraction of local maxima. But feature information is not sufficient for enhance localization therefore some structure information is added to the traditional method of tracking. This method is successfully adjusted with moving camera, Partial occlusions and changing scale and orientation of target. Some main applications are: surveillance application, control application and analysis application.