eprintid: 4869
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/48/69
datestamp: 2023-11-09 16:16:34
lastmod: 2023-11-09 16:16:34
status_changed: 2023-11-09 15:59:44
type: conference_item
metadata_visibility: show
creators_name: Hassan, M.A.
creators_name: Malik, A.S.
creators_name: Nicolas, W.
creators_name: Faye, I.
creators_name: Rasheed, W.
creators_name: Nordin, N.
creators_name: Mahmood, M.T.
title: Foreground extraction for real-time crowd analytics in surveillance system
ispublished: pub
keywords: Algorithms; Consumer electronics, Adaptive background model; Crowd surveillance; Foreground extraction; Gradient informations; Phase congruency; Processing speed; Real-time application; Surveillance systems, Security systems
note: 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
abstract: 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.
date: 2014
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907316989&doi=10.1109%2fISCE.2014.6884288&partnerID=40&md5=385758233b35ff5d4cfb72c0f33f3f2e
id_number: 10.1109/ISCE.2014.6884288
full_text_status: none
publication: Proceedings of the International Symposium on Consumer Electronics, ISCE
place_of_pub: Jeju
refereed: TRUE
isbn: 9781479945924
citation:   Hassan, M.A. and Malik, A.S. and Nicolas, W. and Faye, I. and Rasheed, W. and Nordin, N. and Mahmood, M.T.  (2014) Foreground extraction for real-time crowd analytics in surveillance system.  In: UNSPECIFIED.