A Real-Time Vision Tracking System Using Human Emulation Device

doi:10.3923/jas.2009.2861.2876

CNU IR > College of Sustainable Environment and Recreation > Dept. of Applied Geoinformatics > Periodical Articles > Item 310902800/23250

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/23250

Title:	A Real-Time Vision Tracking System Using Human Emulation Device
Authors:	Ko-Chun Chen Kuei-Shu Hsu Ming-Guo Her
Contributors:	應用空間資訊系
Keywords:	image processing parallel method visual tracking Real-time trigonometric
Date:	2009-04
Issue Date:	2010-11-18 10:44:19 (UTC+8)
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.ABSTRACT FROM AUTHORCopyright of Journal of Applied Sciences is the property of Asian Network for Scientific Information and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.
Relation:	Journal of Applied Sciences 9(16)：p.2861-2876
Appears in Collections:	[Dept. of Applied Geoinformatics] Periodical Articles

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