An Integrated Robot Vision System for Multiple Human Tracking and Silhouette Extraction

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 segme...

Full description

Saved in:
Bibliographic Details
Main Authors: Ahn, Jung-Ho, Kwak, Sooyeong, Choi, Cheolmin, Kim, Kilcheon, Byun, Hyeran
Format: Conference Proceeding
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Exact sciences and technology
Mechanical engineering. Machine design
Object Detection
Pattern recognition. Digital image processing. Computational geometry
Robot Vision
Silhouette Extraction
Software
Tracking
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0302-9743
1611-3349
DOI:10.1007/11941354_59