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Hugues Benoit-Cattin

2 accepted papers

2016

Unsupervised spatiotemporal video clustering a versatile mean-shift formulation robust to total object occlusions

Simon Mure, Thomas Grenier, Hugues Benoit-Cattin
ICASSP 2016accepted

In this paper, we propose a mean-shift formulation allowing spatiotemporal clustering of video streams, and possibly extensible to other multivariate evolving data. Our formulation enables causal or omniscient filtering of spatiotemporal data, which is robust to total object occlusions. It embeds a…

Cited by 0Source ↗Scholar ↗
2016

Unsupervised time-series clustering of distorted and asynchronous temporal patterns

Simon Mure, Thomas Grenier, Charles R. G. Guttmann, Hugues Benoit-Cattin
ICASSP 2016accepted

Most time-series clustering methods, such as k-means or k-medoids, are initialized by prior knowledge about the number of classes or by a learning step. We propose an unsupervised clustering technique based on spatiotemporal mean-shift and optimal time series warping using dynamic time warping (DTW)…

Cited by 0Source ↗Scholar ↗