Machine Learning for Vision-Based Motion Analysis

1. Practical Algorithms of Spectral Clustering: Toward Large-Scale Vision-Based Motion Analysis
Tomoya Sakai, Atsushi Imiya

2. Riemannian Manifold Clustering andDimensionality Reduction forVision-BasedAnalysis
Alvina Goh

3. Manifold Learning for Multi-dimensional Auto-regressive Dynamical Models
Fabio Cuzzolin

4. Mixed-State Markov Models in Image Motion Analysis
Tomás Crivelli, Patrick Bouthemy, Bruno Cernuschi Frías, Jian-feng Yao

5. Learning to Detect Event Sequences inSurveillance Streams at Very Low Frame Rate
Paolo Lombardi, Cristina Versino

6. Discriminative Multiple Target Tracking
Xiaoyu Wang, Gang Hua, Tony X. Han

7. A Framework of Wire Tracking in Image Guided Interventions
Peng Wang, Andreas Meyer, Terrence Chen, Shaohua K. Zhou, Dorin Comaniciu

8. An Integrated Approach to Visual Attention Modeling for Saliency Detection in Videos
Sunaad Nataraju, Vineeth Balasubramanian, Sethuraman Panchanathan

9. Video-Based Human Motion Estimation byPart-Whole Gait Manifold Learning
Guoliang Fan, Xin Zhang

10. Spatio-Temporal Motion Pattern Models ofExtremely Crowded Scenes
Louis Kratz, Ko Nishino

11. Learning Behavioral Patterns of Time Series forVideo-Surveillance
Nicoletta Noceti, Matteo Santoro, Francesca Odone

12. Recognition of Spatiotemporal Gestures in Sign Language Using Gesture Threshold HMMs
Daniel Kelly, John McDonald, Charles Markham

13. Learning Transferable Distance Functions forHuman Action Recognition
Weilong Yang, Yang Wang, Greg Mori

Keywords: Computer Science, Image Processing and Computer Vision, Artificial Intelligence (incl. Robotics)