digital video stabilization system by adaptive fuzzy kalman filtering
سال انتشار: 1392
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 773
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شناسه ملی سند علمی:
JR_JIST-1-4_003
تاریخ نمایه سازی: 21 فروردین 1393
چکیده مقاله:
Digital video stabilization (DVS) allows acquiring video sequences without disturbing jerkiness, removing unwanted camera movements. A good DVS should remove the unwanted camera movements while maintains the intentional camera movements. In this article, we propose a novel DVS algorithm that compensates the camera jitters applying an adaptive fuzzy filter on the global motion of video frames. The adaptive fuzzy filter is a Kalman filter which is tuned by a fuzzy system adaptively to the camera motion characteristics. The fuzzy system is also tuned during operation according to the amount of camera jitters. The fuzzy system uses two inputs which are quantitative representations of the unwanted and the intentional camera movements. Since motion estimation is a computation intensive operation, the global motion of video frames is estimated based on the block motion vectors which resulted by video encoder during motion estimation operation. Furthermore, the proposed method also utilizes an adaptive criterion for filtering and validation of motion vectors. Experimental results indicate a good performance for the proposed algorithm
کلیدواژه ها:
نویسندگان
Mohammad Javad Tanakian
Communication, M.Sc, Faculty of Electrical & Computer Engineering, University of Sistan and Baluchestan
Mehdi Rezaei
Signal Processing, Assistant Professor, Faculty of Electrical & Computer Engineering, University of Sistan and Baluchestan
Farahnaz Mohanna
Image Processing, Assistant Professor, Faculty of Electrical & Computer Engineering, University of Sistan and Baluchestan