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primary topic: Foreground extraction for real-time crowd analytics in surveillance system

Foreground extraction for real-time crowd analytics in surveillance system
type: AcademicArticle
type: Article
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
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ConferenceItemEPrint
is part of: repository

Institute of Electrical and Electronics Engineers Inc.
type: Organization

Proceedings of the International Symposium on Consumer Electronics, ISCE
type: Collection

I. Faye
type: Person
given name: I.
family name: Faye

M.A. Hassan
type: Person
given name: M.A.
family name: Hassan

W. Nicolas
type: Person
given name: W.
family name: Nicolas

M.T. Mahmood
type: Person
given name: M.T.
family name: Mahmood

N. Nordin
type: Person
given name: N.
family name: Nordin

W. Rasheed
type: Person
given name: W.
family name: Rasheed

A.S. Malik
type: Person
given name: A.S.
family name: Malik

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primary topic: Foreground extraction for real-time crowd analytics in surveillance system