An integrated robot vision system for multiple human tracking and silhouette extraction

Jung Ho Ahn, Sooyeong Kwak, Cheolmin Choi, Kilcheon Kim, Hyeran Byun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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. Keywords: Object Detection, Tracking, Silhouette Extraction, Robot Vision.

Original languageEnglish
Title of host publicationAdvances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings
Pages575-583
Number of pages9
DOIs
Publication statusPublished - 2006
Event16th International Conference on Artificial Reality and Telexistence, ICAT 2006 - Hangzhou, China
Duration: 2006 Nov 292006 Dec 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4282 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International Conference on Artificial Reality and Telexistence, ICAT 2006
Country/TerritoryChina
CityHangzhou
Period06/11/2906/12/1

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'An integrated robot vision system for multiple human tracking and silhouette extraction'. Together they form a unique fingerprint.

Cite this