Keywords:
- abnormality detection
- activity
- Bayesian modeling
- camera network
- mixed activity
- motif mining
- multi-camera
- multivariate time series
- non parametric models
- pLSA
- scene analysis
- topic models
- Unsupervised · Latent sequential patterns · Topic models · PLSA · Video surveillance · Activity analysis
- unsupervised activity analysis
- video
Publications of Jagannadan Varadarajan sorted by journal and type
Publications of type Idiap-RR
2010
| A Sparsity Constraint for Topic Models - Application to Temporal Activity Mining, , and , Idiap-RR-36-2010 |
|
| Probabilistic Latent Sequential Motifs: Discovering temporal activity patterns in video scenes, , and , Idiap-RR-33-2010 |
|
IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI)
| Temporal Analysis of Motif Mixtures using Dirichlet Processes, , and , in: IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 36(1), 2014 |
|
International Journal of Computer Vision
| 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 |
|
Practical Applications of Sparse Modeling: Biology, Signal Processing and Beyond (2012)
| Sparsity in Topic Models, , and , in: Practical Applications of Sparse Modeling: Biology, Signal Processing and Beyond, MIT Press, 2012 |
|
IEEE Winter Conference on Applications of Computer Vision (WACV) (2017)
| Active Online Anomaly Detection using Dirichlet Process Mixture Model and Gaussian Process Classification, , , , and , in: IEEE Winter Conference on Applications of Computer Vision (WACV), Washington, 2017 |
|
International Conference on Image Processing (2014)
| Improving Head and Body Pose Estimation through Semi-supervised Manifold Alignment, , , , and , in: International Conference on Image Processing, 2014 |
|
IEEE Conference on Computer Vision and Pattern Recognition, 2012, Providence, Rhode Island, USA (2012)
| 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 |
IEEE Conference on Computer Vision and Pattern Recognition (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 |
|
8th IEEE International Conference on Advanced Video and Signal-Based Surveillance (2011)
| Multi-camera Open Space Human Activity Discovery for Anomaly Detection, , and , in: 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011 |
|
NIPS-2010 Workshop on Practical Applications of Sparse Modeling: Open Issues and New Directions (2010)
| 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 |
|
NIPS workshop on Learning and Planning from Batch Time Series Data (2010)
| Extracting Motifs from Time Series Generated by Concurrent Activities., , and , in: NIPS workshop on Learning and Planning from Batch Time Series Data, 2010 |
|
BMVC 2010 (2010)
| Probabilistic Latent Sequential Motifs: Discovering temporal activity patterns in video scenes, , and , in: BMVC 2010, Aberystwyth University, Aberystwyth, BMVA Press, 2010 |
|
9th International Workshop in Visual Surveillance (2009)
| Topic Models for Scene Analysis and Abnormality Detection, and , in: 9th International Workshop in Visual Surveillance, IEEE, Kyoto, Japan, IEEE, 2009 |
|
Publications of type Phdthesis
2012
| Sequential Topic Models for Mining Recurrent Activities and their Relationships : Application to long term video recordings, , École Polytechnique Fédérale de Lausanne, 2012 |
|