TY  - CONF
CY  - Jeju
PB  - Institute of Electrical and Electronics Engineers Inc.
AV  - none
KW  - Algorithms; Consumer electronics
KW  -  Adaptive background model; Crowd surveillance; Foreground extraction; Gradient informations; Phase congruency; Processing speed; Real-time application; Surveillance systems
KW  -  Security systems
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907316989&doi=10.1109%2fISCE.2014.6884288&partnerID=40&md5=385758233b35ff5d4cfb72c0f33f3f2e
ID  - scholars4869
N1  - 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
Y1  - 2014///
N2  - 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.
A1  - Hassan, M.A.
A1  - Malik, A.S.
A1  - Nicolas, W.
A1  - Faye, I.
A1  - Rasheed, W.
A1  - Nordin, N.
A1  - Mahmood, M.T.
TI  - Foreground extraction for real-time crowd analytics in surveillance system
SN  - 9781479945924
ER  -