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Combined Independent Component Analysis and Kalman Filter Based Real-Time Digital Video Stabilization

Hassaan S. Qureshi, Syed A. Jabir, Syeda H. Taqdees, and Khawar Khurshid
Department of Electrical Engineering, School of Electrical Engineering and Computer Sciences National University of Sciences & Technology (NUST) Islamabad, Pakistan
Abstract—We present an online approach for digital video stabilization. This paper builds upon the work presented in where the authors have proposed the use of Independent Component Analysis (ICA) for video stabilization. Their scheme however is intended for offline systems and cannot be used for online systems. We propose a window based approach to combine the ICA based technique with Kalman filter, in order to make the method suitable for online systems. The proposed approach is tested using simulations and the mean square error between the outcome and the ground truth is used as performance measure. The performances of the proposed method, separate ICA and separate Kalman filter application are compared. The performance of the proposed method turns out to be better than separate application of Kalman filtering or ICA alone.

Index Terms—video stabilization, ICA, Kalman filter

Cite: Hassaan S. Qureshi, Syed A. Jabir, Syeda H. Taqdees, and Khawar Khurshid, "Combined Independent Component Analysis and Kalman Filter Based Real-Time Digital Video Stabilization," International Journal of Signal Processing Systems, Vol. 1, No. 2, pp. 164-169, December 2013. doi: 10.12720/ijsps.1.2.164-169

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