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Information Journal Paper

Title

DIGITAL VIDEO STABILIZATION SYSTEM BY ADAPTIVE FUZZY KALMAN FILTERING

Pages

  223-232

Abstract

 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.

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    Cite

    APA: Copy

    TANAKIAN, MOHAMMAD JAVAD, REZAEI, MEHDI, & MOHANNA, FARAHNAZ. (2013). DIGITAL VIDEO STABILIZATION SYSTEM BY ADAPTIVE FUZZY KALMAN FILTERING. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), 1(4), 223-232. SID. https://sid.ir/paper/332620/en

    Vancouver: Copy

    TANAKIAN MOHAMMAD JAVAD, REZAEI MEHDI, MOHANNA FARAHNAZ. DIGITAL VIDEO STABILIZATION SYSTEM BY ADAPTIVE FUZZY KALMAN FILTERING. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST)[Internet]. 2013;1(4):223-232. Available from: https://sid.ir/paper/332620/en

    IEEE: Copy

    MOHAMMAD JAVAD TANAKIAN, MEHDI REZAEI, and FARAHNAZ MOHANNA, “DIGITAL VIDEO STABILIZATION SYSTEM BY ADAPTIVE FUZZY KALMAN FILTERING,” JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), vol. 1, no. 4, pp. 223–232, 2013, [Online]. Available: https://sid.ir/paper/332620/en

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