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A NEW HYBRID DIFFERENTIAL FILTER FOR MOTION DETECTION

Abstract : A new operator to compute time differentiation in an image sequence is presented. It is founded on hybrid filters combining morphological and linear recur-sive operations. It estimates recursively the amplitude of time-variation within a certain interval. It combines the change detection capability of the temporal morphological gradient, and the (exponential) smoothing effect of the linear re-cursive average. It is particularly suited to small and low amplitude motion. We show how to use this filter within an adaptive motion detection algorithm.
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Contributor : Antoine Manzanera <>
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Julien Richefeu, Antoine Manzanera. A NEW HYBRID DIFFERENTIAL FILTER FOR MOTION DETECTION. International Conference on Computer Vision and Graphics (ICCVG'04), Sep 2004, Varsovie, Poland. ⟨10.1007/1-4020-4179-9_105⟩. ⟨hal-01222690⟩

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