Christofer Raphael

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In this paper, we present a new object tracking approach based on the analysis of a two-dimensional image distribution histogram calculated from two colorimetric channels automatically selected on criteria of representativeness. Among the essential contributions of this work, we can quote a better modelling of the object to track and the management of the(More)
We present a technique for partitioning an audio file into maximally-sized segments having nearly uniform spectral content, ideally corresponding to notes or chords. Our method uses dynamic programming to globally optimize a measure of simplicity or homogeneity of the intervals in the partition. Here we have focused on an entropy-like measure , though there(More)
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