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Displaying 1-4 out of 4 total
Socio-Technical Network Analysis from Wearable Interactions
Found in: 2012 16th Annual International Symposium on Wearable Computers (ISWC)
By Katayoun Farrahi,Remi Emonet,Alois Ferscha
Issue Date:June 2012
pp. 9-16
Wearable sensing platforms like modern smart phones have proven to be effective means in the complexity and computational social sciences. This paper draws from explicit (phone calls, SMS messaging) and implicit (proximity sensing based on Bluetooth radio ...
Extracting and locating temporal motifs in video scenes using a hierarchical non parametric Bayesian model
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Remi Emonet,Jagannadan Varadarajan,Jean-Marc Odobez
Issue Date:June 2011
pp. 3233-3240
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recurrent temporal activity patterns (or motifs) and when they occur. Using non p...
Temporal Analysis of Motif Mixtures Using Dirichlet Processes
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Remi Emonet,Jagannadan Varadarajan,Jean-Marc Odobez
Issue Date:January 2014
pp. 140-156
In this paper, we present a new model for unsupervised discovery of recurrent temporal patterns (or motifs) in time series (or documents). The model is designed to handle the difficult case of multivariate time series obtained from a mixture of activities,...
Localized anomaly detection via hierarchical integrated activity discovery
Found in: 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
By Thiyagarajan Chockalingam,Remi Emonet,Jean-Marc Odobez
Issue Date:August 2013
pp. 51-56
With the increasing number and variety of camera installations, unsupervised methods that learn typical activities have become popular for anomaly detection. In this article, we consider recent methods based on temporal probabilistic models and improve the...