Mixture of Gaussian Based Background Modelling for Crowd Tracking Using Multiple Cameras

Ameen, Mohamed Abul Hassan and Malik, Aamir Saeed and Nicolas, Walter and Faye , Ibrahima and Mahmood, Muhammad Tariq (2014) Mixture of Gaussian Based Background Modelling for Crowd Tracking Using Multiple Cameras. In: 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014.



Visual surveillance system for tracking crowd using multiple cameras at dynamic backgrounds faces many challenges such as illumination variance, occultation, low spatial temporal resolution, sleeping person, shadows and camera noise. In this paper we address the issue of gradual and sudden illumination variance caused by movement of the sun and the clouds. We evaluate Mixture of Gaussian method and background modelling method for extracting foreground from the background for crowd related data base. We have evaluated the performance of the background model for sparse and dense crowds to evaluate the accuracy and efficiency of the model subjectively for crowd analytics based scenarios.

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
Research Institutes > Institute for Health Analytics
ID Code:11414
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...