Kalman filtering with real-time applications
Kalman filtering with real-time applications
Kalman filtering: theory and practice
Kalman filtering: theory and practice
Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
3-D Kalman filter for image motion estimation
IEEE Transactions on Image Processing
Successive elimination algorithm for motion estimation
IEEE Transactions on Image Processing
Kalman filter recipes for real-time image processing
Real-Time Imaging - Special issue on software engineering
Algorithms and DSP implementation of H.264/AVC
ASP-DAC '06 Proceedings of the 2006 Asia and South Pacific Design Automation Conference
IEEE Transactions on Circuits and Systems for Video Technology
Algorithm 900: A discrete time kalman filter package for large scale problems
ACM Transactions on Mathematical Software (TOMS)
Information Sciences: an International Journal
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This paper presents a new motion estimation algorithm to improve the performance of the existing searching algorithms at a relatively low computational cost. We try to amend the incorrect and/or inaccurate estimate of motion with higher precision by using Kalman filter. We first obtain a measurement of motion vector of a block by using the existing searching scheme. We then generate the predicted motion vector utilizing the inter-block correlation in both spatial and temporal directions. In general, the motion correlation in spatial direction is different from that in temporal direction. Therefore, if we appropriately utilize the motion correlation in spatial direction and temporal direction, the better performance would be achieved. In this paper, we will propose an adaptive Kalman filter which utilizes a model switching mechanism to select correct motion model. Simulation results show that the proposed technique can efficiently improve the motion estimation performance.