Real-Time Visual Tracking of a Moving Object Using Pan and Tilt Platform: A Kalman Filter Approach
Publish place: 20th Iranian Conference on Electric Engineering
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
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ICEE20_282
تاریخ نمایه سازی: 14 مرداد 1391
Abstract:
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
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Authors
Bahare Torkaman
Iran University of Science and Technology
Mohammad Farrokhi
Iran University of Science and Technology