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Recursive filters for optical flow

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2 Author(s)
D. J. Fleet ; Dept. of Comput. & Inf. Sci., Queen's Univ., Kingston, Ont., Canada ; K. Langley

Working toward efficient (real-time) implementations of optical flow methods, the authors 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 Barren et al. (1994), while requiring much less storage, less computation, and shorter delays

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:17 ,  Issue: 1 )