Foreground extraction for real-time crowd analytics in surveillance system

Author

Hassan, M.A. ; Malik, A.S. ; Nicolas, Walter ; Faye, Ibrahima ; Rasheed, Waqas ; Nordin, Norani ; Mahmood, Muhammad Tariq

Author_Institution

Centre for Intell. Signal & Imaging Res. (CISIR), Univ. Teknol. PETRONAS, Tronoh, Malaysia

fYear

2014

fDate

22-25 June 2014

Firstpage

1

Lastpage

2

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.

Keywords

edge detection; feature extraction; gradient methods; real-time systems; surveillance; AMM image; PC edge detector; adaptive background modeling algorithm; approximate median method; binary maps; crowd surveillance system; foreground extraction; gradient information; logical AND operation; phase congruency edge detector; real-time crowd analytics; Adaptation models; Computational modeling; Detectors; Image edge detection; Lighting; Real-time systems; Surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on

Conference_Location

JeJu Island

Type

conf

DOI

10.1109/ISCE.2014.6884288

Filename

6884288