Object Tracking Method Based on Kalman Filter and Camshift Algorithm for UAV Applications
Sukhrob AtoevTashkent University of Information Technologies named after Muhammad al-Khwarizmi,Dept. of Software of Information Technologies,Tashkent,UzbekistanAkhram NishanovTashkent University of Information Technologies named after Muhammad al-Khwarizmi,Dept. of Software of Information Technologies,Tashkent,UzbekistanFakhriddin AbdirazakovTashkent University of Information Technologies named after Muhammad al-Khwarizmi,Dept. of Software of Information Technologies,Tashkent,Uzbekistan
2021 International Conference on Information Science and Communications Technologies (ICISCT)conference2021en
ABI
Annotatsiya
Since the object tracking system for unmanned aerial vehicles (UAVs) and evaluating its effectiveness are a demanding task, we have focused our work on this topic. In this paper, we presented a method for tracking an object in image sequences. Our proposed method is based on the Kalman filter and Camshift algorithm. The Kalman filter is used to predict the location of an object, while the selected target is tracked by the Camshift algorithm. The results of our experiments demonstrated that the proposed method can effectively track an object in various videos.
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