Nowadays video surveillance systems have been developing rapidly. Video surveillance systems detect the target in initial stage and then perform the functions like object classification, its behavioural description & tracking. However there are many problems associated with object detection & tracking, such as illumination changes, fake motion, image noise etc. To overcome such problems, a system based on Particle filter algorithm is proposed in this paper. An attempt has been made to develop effective object detection & tracking system