Paper Info
Title
Real-time estimation of point-of-interest in video surveillance based on visual fixation.
Abstract
Analyzing and interpreting the behavior of humans in a sequence of images from a video stream is an active and growing topic in computer vision and its applications. This paper focuses on real-time visual fixation analysis in which the study of human's gaze allows investigation and reasoning of a point-of-interest (POI) in the scene. The system's architecture comprises of 3 major components; (i) head detection, (ii) head direction detection and (iii) POI analysis. We employ the 3D color space (RGB) model as proposed in the installation of “15 Seconds of Fame” to detect skin color pixels for head detection. The head direction specified is based on estimating the orientation in tilt angle and pan angle using neural network. Finally, the POI is determined via the correlation between multiple head directions. Experimental results are given to demonstrate the reliability of our system in estimating POI in a sequence of low-resolution images.
Year
DOI
Venue
2010
10.1109/ISSPA.2010.5605526
ISSPA
Keywords
Field
DocType
iris recognition,low resolution,neural nets,human behavior,computer vision,fitting,point of interest,color space,real time systems,neural network,robots,feature extraction,real time
Iris recognition,Computer vision,Color space,Pattern recognition,Computer science,Feature extraction,Pixel,Artificial intelligence,Fixation (visual),RGB color model,Point of interest,Artificial neural network
Conference
ISBN
Citations 
PageRank 
978-1-4244-7165-2
0
0.34
References 
Authors
3
6
Name
Order
Citations
PageRank
Mei Kuan Lim1524.71
Sze Ling Tang2252.11
Zulaikha Kadim362.53
Ahmed A. Al-Obaidi421.52
Norshuhada Samudin511.02
Liang kim meng6102.59