Title
An integrated robot vision system for multiple human tracking and silhouette extraction
Abstract
In this paper, we propose a new integrated robot vision system designed for multiple human tracking and silhouette extraction using an active stereo camera. The proposed system focuses on robustness to camera movement. Human detection is performed by camera egomotion compensation and disparity segmentation. A fast histogram based tracking algorithm is presented by using the mean shift principle. Color and disparity values are combined by the weighted kernel for the tracking feature. The human silhouette extraction is based on graph cut segmentation. A trimap is estimated in advance and this is effectively incorporated into the graph cut framework.
Year
DOI
Venue
2006
10.1007/11941354_59
ICAT
Keywords
Field
DocType
disparity segmentation,graph cut framework,camera egomotion compensation,camera movement,active stereo camera,integrated robot vision system,tracking feature,multiple human tracking,human detection,disparity value,human silhouette extraction,system design,graph cut,mean shift,tracking
Cut,Object detection,Stereo camera,Histogram,Computer vision,Stereopsis,Segmentation,Computer science,Silhouette,Artificial intelligence,Mean-shift
Conference
Volume
ISSN
ISBN
4282
0302-9743
3-540-49776-5
Citations 
PageRank 
References 
2
0.42
10
Authors
5
Name
Order
Citations
PageRank
Jung-Ho Ahn1282.79
Sooyeong Kwak2395.65
Cheolmin Choi3111.40
Kilcheon Kim4232.81
Hyeran Byun550565.97