• Mukesh Parmar

In video surveillance systems major performance decline is Occlusion. Occlusion should be detected very precisely by all automatic software system. Also automatic system continuously monitors the scene. When two objects are overlap, rear object will be hidden behind the front object .The hidden part of the rear object is called a occluded part the object. Human bodies are overlapped when they are walking in the scene. Illumination can be the reason for the occlusion because object identified by the intensity value of particle which belong to the object. Occlusion is not directly detected problem. Pixel of the occluded is detected which belong to the part of the same. Purpose of detection of Occlusion is mainly for the set occluded part in the image and gets the original image. Exquisite resampling is used for the improve the performance of the algorithm. Included phase in the algorithm is such like prediction, importance sampling and resampling . Optical flow is used for the finding important particle which can give both intensity and the direction of the particle.

Occlusion, Particle Filter, Resampling

"Using Adaptive Particle Filter Handling Occlusion in Video Surveillance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 6, page no.41-44, June-2016, Available :http://www.jetir.org/papers/JETIR1606009.pdf

"Using Adaptive Particle Filter Handling Occlusion in Video Surveillance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 6, page no. pp41-44, June-2016, Available at : http://www.jetir.org/papers/JETIR1606009.pdf