Int. J. Advanced Intelligence Paradigms, Vol. 15, No. 1, 2020 63 Copyright © 2020 Inderscience Enterprises Ltd. Occlusion detection and processing using optical flow and particle filter Wesam A. Askar* Department of Electrical Engineering, Military Technical College, Egypt Email: wesamaaa@gmail.com *Corresponding author Osama Elmowafy Computer Engineering Department, New Cairo Academy, Egypt Email: elmowafy@hotmail.com Anca Ralescu EECS Department, College of Engineering and Applied Sciences, University of Cincinnati, USA Email: ralescal@ucmail.uc.edu Aliaa A. Youssif Computer Engineering Department, Helwan University, Egypt Email: aliaay@yahoo.com Gamal A. Elnashar Electrical Department, Military Technical College, Egypt Email: enjygamal@gmail.com Abstract: Object tracking systems continue to be an intensive area of research, for which detection and processing of occlusion is a well-known challenge. This paper proposes a new approach to detection and handling of occlusion based on the integration of two known techniques, optical flow and particle filtering. Results of preliminary experiments show that the proposed method can detect and overcome the occlusion problem successfully during the tracking process. Keywords: video tracking; optical flow; particle filter; occlusion; computer vision; image processing; vision tracking; machine learning; point tracking; feature extraction.