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

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


Background filtering, motion compensation, realtime.


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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