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Issue No.01 - January (1995 vol.17)
pp: 61-67
ABSTRACT
<p><it>Abstract</it>—Working toward efficient (real-time) implementations of optical flow methods, we have applied simple recursive filters to achieve temporal smoothing and differentiation of image intensity, and to compute 2d flow from component velocity constraints using spatiotemporal least-squares minimization. Accuracy in simulation is similar to that obtained in the study by Barron et al. [<ref rid="BIBP00613" type="bib">3</ref>], while requiring much less storage, less computation, and shorter delays.</p>
CITATION
David J. Fleet, Keith Langley, "Recursive Filters for Optical Flow", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.17, no. 1, pp. 61-67, January 1995, doi:10.1109/34.368151
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