Real-Time Visual Tracking of a Moving Object Using Pan and Tilt Platform: A Kalman Filter Approach
عنوان مقاله: Real-Time Visual Tracking of a Moving Object Using Pan and Tilt Platform: A Kalman Filter Approach
شناسه ملی مقاله: ICEE20_282
منتشر شده در بیستمین کنفرانس مهندسی برق ایران در سال 1391
شناسه ملی مقاله: ICEE20_282
منتشر شده در بیستمین کنفرانس مهندسی برق ایران در سال 1391
مشخصات نویسندگان مقاله:
Bahare Torkaman - Iran University of Science and Technology
Mohammad Farrokhi - Iran University of Science and Technology
خلاصه مقاله:
Bahare Torkaman - Iran University of Science and Technology
Mohammad Farrokhi - Iran University of Science and Technology
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
کلمات کلیدی: Visual servoing, Pan and tilt platform, Kalman filter, Image processing
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/154495/