Mendeley TY _ JOUR ID - 1393073010672783 TI - Digital Video Stabilization System by Adaptive Fuzzy Kalman Filtering JO - Journal of Information Systems and Telecommunication (JIST) JA - ES LA - en SN - 2322-1437 AU - Tanakian Mohammad javad AU - Rezaei Mehdi AU - Mohanna Farahnaz AD - Sistan and Baluchestan AD - Sistan and Baluchestan AD - دانشگاه سیستان و بلوچستان Y1 - 2013 PY - 2013 VL - 4 IS - SP - 1 EP - 10 KW - Adaptive KW - Digital Video Stabilization KW - Fuzzy Filter KW - Kalman Filter KW - Motion Estimation KW - Motion Vector KW - Video Coding DO - N2 - 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. UR - rimag.ir/en/Article/14833 L1 - rimag.ir/en/Article/Download/14833 ER -