Keywords:
- Bayesian modeling
- bobbing estimation
- camera network
- entrainment to music
- gait
- human activity recognition
- mixed activity
- motif mining
- multi-camera
- multivariate time series
- non parametric models
- surveillance
- topic models
- tracking
- Unsupervised · Latent sequential patterns · Topic models · PLSA · Video surveillance · Activity analysis
- unsupervised activity analysis
- unsupervised learning
Publications of Remi Emonet sorted by title
A
| A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs, , and , in: International Journal of Computer Vision, 103(1):100-126, 2013 |
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| A Sparsity Constraint for Topic Models - Application to Temporal Activity Mining, , and , Idiap-RR-36-2010 |
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| A Sparsity Constraint for Topic Models - Application to Temporal Activity Mining, , and , in: NIPS-2010 Workshop on Practical Applications of Sparse Modeling: Open Issues and New Directions, 2010 |
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| Analyse non supervisée d'activités en vidéo surveillance pour l'analyse de scène et la détection d'événements anormaux, and , Idiap-RR-20-2013 |
[URL] |
| Automated Bobbing and Phase Analysis to Measure Walking Entrainment, , , , , , and , in: IEEE International Conference on Image Processing (ICIP), Paris, 2014 |
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B
| Bridging the Past, Present and Future: Modeling Scene Activities From Event Relationships and Global Rules, , and , in: IEEE Conference on Computer Vision and Pattern Recognition, 2012, Providence, Rhode Island, USA, 2012 |
C
| Clustering flood events from water quality time-series using Latent Dirichlet Allocation model, , , , , , , , , and , in: Water Resources Research, 2013 |
[DOI] |
D
| Discovering Temporal Patterns in Water Quality Time Series, Focusing on Floods with the LDA method, , , , , , , and , in: European Geosciences Union, 2013 |
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E
| Environment - Application - Adaptation: a Community Architecture for Ambient Intelligence, , in: International Conference on Ambient Computing, Applications, Services and Technologies, 2011 |
| Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model, , and , in: IEEE Conference on Computer Vision and Pattern Recognition, 2011 |
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| Extracting Motifs from Time Series Generated by Concurrent Activities., , and , in: NIPS workshop on Learning and Planning from Batch Time Series Data, 2010 |
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I
| Investigating time-sensitive topic model approaches for action recognition, , and , Idiap-RR-26-2013 |
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M
| Multi-camera Open Space Human Activity Discovery for Anomaly Detection, , and , in: 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011 |
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P
| Probabilistic Latent Sequential Motifs: Discovering temporal activity patterns in video scenes, , and , Idiap-RR-33-2010 |
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| Probabilistic Latent Sequential Motifs: Discovering temporal activity patterns in video scenes, , and , in: BMVC 2010, Aberystwyth University, Aberystwyth, BMVA Press, 2010 |
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S
| Socio-Technical Network Analysis from Wearable Interactions, , and , in: International Symposium on Wearable Computers, 2012 |
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| Sparsity in Topic Models, , and , in: Practical Applications of Sparse Modeling: Biology, Signal Processing and Beyond, MIT Press, 2012 |
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T
| Temporal Analysis of Motif Mixtures using Dirichlet Processes, , and , in: IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 36(1), 2014 |
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| Time-Sensitive Topic Models for Action Recognition in Videos, , and , in: IEEE International Conference on Image Processing, 2013 |
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U
| Unsupervised Activity Analysis and Monitoring algorithms for Effective Surveillance Systems, , , , , , , and , in: European Conference on Computer Vision, 2012 |
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| Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders, , , and , in: IAPR Int. Workshops on Structural and Syntactic Pattern Recognition (SSPR), 2016 |
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| Unsupervised Methods for Activity Analysis and Detection of Abnormal Events, and , Idiap-RR-21-2013 |
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| Unsupervised methods for activity analysis and detection of abnormal events, and , in: Intelligent Video Surveillance Systems (ISTE), Wiley, 2013 |
[DOI] |
W
| What to Show? Automatic Stream Selection Among Multiple Sensors, , and , in: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2014 |
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