
	Journal of Applied Sciences
	Year: 2009 \| Volume: 9 \| Issue: 16 \| Page No.: 2861-2876 DOI: 10.3923/jas.2009.2861.2876

A Real-Time Vision Tracking System Using Human Emulation Device

Ko-Chun Chen, Kuei-Shu Hsu and Ming-Guo Her

Abstract: This study presents a real time effective human emulation vision tracking system, which is built up by two webcams and can detect objects in a 3-D space. Because of our programming in this software program, it becomes suitable for teaching and research. In this paper, we set up two webcams by an optical parallel method and deliver images to PC by a USB (universal serial bus) interface. The computer carrying out the image processing using an effective tracking rule to monitor and fast lock the object. Besides, this close-loop system contains two servo motors that control the webcams platform to pitch and yaw target centered in the monitoring image. It can measure the depth of the objects from two webcams by trigonometric function relationship. Finally, we make a virtual environment to verify the capability of this tracking system.

PDF Fulltext XML References Citation Report Citation

RELATED ARTICLES:

•	Application of a Virtual Reality Entertainment System with Human-Machine Sensor Device

How to cite this article:

Ko-Chun Chen, Kuei-Shu Hsu and Ming-Guo Her, 2009. A Real-Time Vision Tracking System Using Human Emulation Device. Journal of Applied Sciences, 9: 2861-2876.

DOI: 10.3923/jas.2009.2861.2876

URL: https://scialert.net/abstract/?doi=jas.2009.2861.2876

COMMENT ON THIS PAPER

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		AGRIS
		ASCI-Database
		Asian Digital Library
		Chemical Abstract Services
		Google Scholar

Science Alert