Motion Compensated Background Filtering using Scheduled Motion Estimation and Estimated Rank Comparison

M.J. Knowles and M. Spann (UK)


Background filtering, motion compensation, real-time.


There are many applications where separation of moving objects from a non-static background in real time is desirable. This paper presents a novel technique for doing that using a scheduled motion compensation system to ensure the desired frame rate is achieved. Background object segmentation is achieved using a thresholded displaced frame difference(DFD) between the current and compensated frames which is refined using a comparison of the intensity and DFD ranking.

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