Mixture of Gaussian Based Background Modelling for Crowd Tracking Using Multiple Cameras
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 illuminat...
Saved in:
Main Authors: | Ameen, Mohamed Abul Hassan, Malik, Aamir Saeed, Nicolas, Walter, Faye , Ibrahima, Mahmood, Muhammad Tariq |
---|---|
Format: | Conference or Workshop Item |
Published: |
2014
|
Subjects: | |
Online Access: | http://eprints.utp.edu.my/11414/1/Mixture%20of%20Gaussian%20based%20background%20modelling%20for%20crowd%20tracking%20using%20multiple%20cameras%20-%20Paper.pdf http://eprints.utp.edu.my/11414/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mixture of Gaussian based background modelling for crowd tracking using multiple cameras
by: Hassan, M.A., et al.
Published: (2014) -
Reliability of bench-mark datasets for crowd analytic surveillance
by: Ameen, Mohamed Abul Hassan, et al.
Published: (2015) -
Foreground Extraction for Real-time Crowd Analytics
in Surveillance System
by: Ameen, Mohamed Abul Hassan, et al.
Published: (2014) -
REAL-TIME ILLUMINATION COMPENSATION ON DYNAMIC BACKGROUND FOR CROWD ANALYTIC SURVEILLANCE
by: MOHAMED AMEEN MASHOOD, MOHAMED ABUL HASSAN
Published: (2014) -
Real Time Illumination Compensation of Dynamic Background for Crowd Analytic Surveillance
by: Mohamd Ameen Mashood, Mohamed Abul Hassan
Published: (2015)