MLVMA2011 Technical Program

 

08:50-09:00 Opening Address

09:00-10:00 Invited Talk 1 : Learning feature hierarchies for image and video analysis

Prof. Yann LeCun, New York University, USA

10:00 - 10:30 Coffee Break

10:30-11:10 Session 1: Pose and Motion Estimation

Kernel PLS regression for robust monocular pose estimation

Radu Dondera and Larry Davis, University of Maryland, USA

Joint gait-pose manifold for video-based human motion estimation

Xin Zhang and Guoliang Fan, Oklahoma State University, USA  

11:10 - 12:10 Session 2: Object Tracking

(*) Tracking through scattered occlusion

Haggai Abramson and Shai Avidan, Tel Aviv University, Israel

Non-rigid tracking of musk shrews in video for detection of emetic episodes

Dong Huang, Carnegie Mellon University, USA
Kelly Meyers, Sverine Henry, Fernando De la Torre, and Charles Horn, University of Pittsburgh, USA

Occlusion robust multi-camera face tracking

Josh Harguess, Changbo Hu, and J. K. Aggarwal, University of Texas at Austin, USA

 

12:10 - 14:00 Lunch Break

14:00-15:00 Invited Talk 2 : Sparse Learning Methods  for Image and Video Analysis

Prof. Dimitris Metaxas, Rutgers University, USA

15:00 - 15:30 Coffee Break

15:30-16:10: Session 3: Action Recognition

Human action recognition in crowded surveillance video sequences by using features taken from key-point trajectories

Masaki Takahashi, Japan Broadcasting Corporation, Japan
Mahito Fujii, Masahide Naemura, and Shinichi Satoh, National Institute of Informatics, Japan

HMM-MIO: an enhanced hidden Markov model for action recognition

Massimo Piccardi, Richard Yi Da Xu, Oscar Perez Concha, and Zia Moghaddam, University of Technique, Sydney, Australia

16:10 - 16:50 Session 4: Motion Pattern Analysis

Improved anomaly detection in crowded scene via cell-based analysis of foreground speed, size and textures

Vikas Reddy, Conrad Sanderson, and brain Lovell, NICTA, Australia

(**) Dynamic modeling of streaklines for motion pattern analysis in video

Nandita Nayak and Amit Roy-Chowdhury, University of California, Riverside, USA

 

Note: The two talks denoted by (*) and (**) will be switched.