Patent
Object tracking using momentum and acceleration vectors in a motion estimation system
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TLDR
In this paper, a method for motion estimation in a sequence of video images is presented, which consists of subdividing each field or frame of a video image into a plurality of blocks, assigning to each block in each video field and frame a respective set of candidate motion vectors, determining for each block which of its respective motion vectors produces a best match to a block in a previous video field, and forming a motion vector field for the current video field using the determined best match vectors for each blocks, and then forming a further motion vector fields by storing a candidate motion vectorAbstract:
There is provided a method and apparatus for motion estimation in a sequence of video images. The method comprises a) subdividing each field or frame of a sequence of video images into a plurality of blocks, b) assigning to each block in each video field or frame a respective set of candidate motion vectors, c) determining for each block in a current video field or frame, which of its respective candidate motion vectors produces a best match to a block in a previous video field or frame, d) forming a motion vector field for the current video field or frame using the thus determined best match vectors for each block, and e) forming a further motion vector field by storing a candidate motion vector derived from the best match vector at a block location offset by a distance derived from the candidate motion vector. Finally, steps a) to e) are repeated for a video field or frame following the current video field or frame. The set of candidate motion vectors assigned at step b) to a block in the following video field or frame includes the candidates stored at that block location at step e) during the current video field or frame The method enables a block or tile based motion estimator to improve its accuracy by introducing true motion vector candidates derived from the physical behaviour of real world objects.read more
Citations
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References
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Journal ArticleDOI
True-motion estimation with 3-D recursive search block matching
TL;DR: A new recursive block-matching motion estimation algorithm with only eight candidate vectors per block is presented and is shown to have a superior performance over alternative algorithms, while its complexity is significantly less.
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