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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 8    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 8,August 2012
A Kalman-Filter-Based Method for Real-Time Visual Tracking of a Moving Object Using Pan and Tilt Platform
Full Text(PDF, )  PP.I029-I034  
Author(s)
B.Torkaman, M.Farrokhi
KEYWORDS
Visual servoing, Vision-based navigation, Target tracking, Estimation, Pan and tilt platform, Kalman filter, Image processing.
ABSTRACT
The problem of real time estimating position and orientation of a moving object is an important issue for vision-based control of pan and tilt. This paper presents a vision-based navigation strategy for a pan and tilt platform and a mounted video camera as a visual sensor. For detection of objects, a suitable image processing algorithm is used. Moreover, estimation of the object position is performed using the Kalman filter as an estimator. The proposed method is implemented experimentally to a laboratory-size pan and tilt platform. Experimental results show good target tracking by the proposed method in real-time.
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