Logo

Foreground Extraction for Real-time Crowd Analytics in Surveillance System

Ameen, Mohamed Abul Hassan and Malik, Aamir Saeed and Nicolas, Walter and Faye, Ibrahima and Rasheed, Waqas and Nordin, Nadira and Mahmood, Muhammad Tariq (2014) Foreground Extraction for Real-time Crowd Analytics in Surveillance System. In: 18th IEEE International Symposium on Consumer Electronics, ISCE 2014.

[img]
Preview
PDF
626Kb

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.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > Q Science (General)
T Technology > T Technology (General)
Academic Subject One:Biomedical Engineering
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Mission Oriented Research > Health
ID Code:11411
Deposited By: Dr Aamir Saeed Malik
Deposited On:28 Apr 2015 02:54
Last Modified:28 Apr 2015 02:54

Repository Staff Only: item control page

Document Downloads

More statistics for this item...