%A M.A. Hassan
%A A.S. Malik
%A W. Nicolas
%A I. Faye
%A W. Rasheed
%A N. Nordin
%A M.T. Mahmood
%L scholars4869
%X In this paper, we propose an adaptive background modeling algorithm for crowd surveillance system. We employed Approximate Median Method (AMM) along with the Phase congruency edge detector to develop the background model. The resulting foreground of the proposed model was obtained by applying a logical AND operation between binary maps of the (foreground) of the AMM image and the gradient information of the (Phase congruency edge detector) PC. Experimental results demonstrate that the proposed method is highly accurate while providing a processing speed of 24.8 fps allowing its implementation for real time application. © 2014 IEEE.
%D 2014
%I Institute of Electrical and Electronics Engineers Inc.
%K Algorithms; Consumer electronics, Adaptive background model; Crowd surveillance; Foreground extraction; Gradient informations; Phase congruency; Processing speed; Real-time application; Surveillance systems, Security systems
%C Jeju
%R 10.1109/ISCE.2014.6884288
%J Proceedings of the International Symposium on Consumer Electronics, ISCE
%O cited By 2; Conference of 18th IEEE International Symposium on Consumer Electronics, ISCE 2014 ; Conference Date: 22 June 2014 Through 25 June 2014; Conference Code:107396
%T Foreground extraction for real-time crowd analytics in surveillance system