سال انتشار: ۱۳۹۱

محل انتشار: بیستمین کنفرانس مهندسی برق ایران

تعداد صفحات: ۶

نویسنده(ها):

Bahare Torkaman – Iran University of Science and Technology
Mohammad Farrokhi – Iran University of Science and Technology

چکیده:

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 imageprocessing 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