Abstract: Visual object tracking is the active area of research in the computer vision. Various techniques have being developed for the object tracking .Particle filter deals with the tracking of the objects having non linear motion .Particle filter has been used in for various fields and application efficiently. Proposed Technique is based on combination of kalman filter, mean shift and particle filter. mean shift is basically for linear motion of the object and usually point based, kalman filter is also for linear object tracking but particle filter deals with the non linear motion of object.
Keywords: Particle filter, importance density, tracking, sequential importance sampling.