Title: Occlusion detection and processing using optical flow and particle filter
Authors: Wesam A. Askar; Osama Elmowafy; Anca Ralescu; Aliaa A. Youssif; Gamal A. Elnashar
Addresses: Department of Electrical Engineering, Military Technical College, Egypt ' Computer Engineering Department, New Cairo Academy, Egypt ' EECS Department, College of Engineering and Applied Sciences, University of Cincinnati, USA ' Computer Engineering Department, Helwan University, Egypt ' Electrical Department, Military Technical College, Egypt
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.
International Journal of Advanced Intelligence Paradigms, 2020 Vol.15 No.1, pp.63 - 76
Received: 20 Jun 2016
Accepted: 07 Oct 2016
Published online: 14 Dec 2019 *