Real-time video based motion capture system based on color and edge distributions

Yoshiaki Akazawa, Yoshihiro Okada, Koichi Niijima

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

4 Citations (Scopus)

Abstract

This paper proposes a real-time, video based motion capture system using two video cameras. Since conventional video based motion capture systems use many video cameras and take a long time to deal with many video images, they cannot generate motion data in real time. On the other hand, the prototype system proposed uses a few video cameras, up to two, it employs a very simple motion-tracking method based on object color and edge distributions, and it takes video images of the person, e.g., x, y position of the hand, feet and head, and then it generates motion data of such body parts in real time. Especially using two video cameras, it generates 3D motion data in real time. This paper mainly describes its aspects as a real-time motion capture system for the tip parts of the human body, i.e., the hands, feet and head, and validates its usefulness by showing its virtual reality (VR) application examples.

Original languageEnglish
Title of host publicationProceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages333-336
Number of pages4
ISBN (Electronic)0780373049
DOIs
Publication statusPublished - 2002
Event2002 IEEE International Conference on Multimedia and Expo, ICME 2002 - Lausanne, Switzerland
Duration: Aug 26 2002Aug 29 2002

Publication series

NameProceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Volume2

Other

Other2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Country/TerritorySwitzerland
CityLausanne
Period8/26/028/29/02

All Science Journal Classification (ASJC) codes

  • Archaeology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Real-time video based motion capture system based on color and edge distributions'. Together they form a unique fingerprint.

Cite this