IEEE Motion 08 Accepted Papers

Oral Presentations:

1. Using Inactivity to Detect Unusual behavior, Patrick

Dickinson, University of Lincoln, United Kingdom

2. Learning Motion Patterns in Surveillance Video using HMM Clustering, Eran Swears Kitware, Inc, Anthony Hoogs , Kitware, Inc, and G. Amitha Perera, GE Global Research

3. Space-Time Shapelets for Action Recognition, Dhruv Batra, Carnegie Mellon University, Tsuhan Chen, Carnegie Mellon University, and Rahul Sukthankar, Intel Research Pittsburgh

4. Recognition of High-level Group Activities Based on Activities of Individual Members, Michael Ryoo, the University of Texas at Austin, and J. K. Aggarwal, the University of Texas at Austin

5. Spatial-Temporal correlations for unsupervised action classification, Silvio Savarese, University of Illinois at Urbana Champaign, Andrey Del Pozo, University of Illinois at Urbana Champaign, Juan Carlos Niebles, Princeton University, and Li Fei-Fei, Princeton University

6. Location-specific Transition Distributions for Tracking, Nathan Jacobs, Washington University in St. Louis, Michael Dixon, Washington University, and Robert Pless , Washington University in St.Louis

7. Robust Object Tracking based on Detection with Soft Decision, Bo Wu, USC , Li Zhang, USC, Vivek Kumar Singh, USC, and Ramakant Nevatia, USC.

8. Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network, Shahrel Suandi, University Sains Malaysia, Shuichi Enokida, Kyushu Institute of Technology, Japan, and Toshiaki Ejima, Kyushu Institute of Technology

9. Two-Frames Accurate Motion Segmentation Using Tensor Voting and Graph-Cuts, Thang Dinh, University of Southern California, and Gerard Medioni, University of Southern California

10. A Context-Based Tracker Switching Framework, Ambrish Tyagi, Ohio State University, and James Davis, Ohio State University

Poster Presentations:

1) Optimal Multi-View Fusion of Object Locations, Aswin Sankaranarayanan, University of Maryland, College Park, and Rama Chellappa, Univ. of Maryland.

2) Integrated Detection and Tracking for Multiple Moving Objects using Data-Driven MCMC Data Association Qian Yu, USC, and Gerard Medioni, University of Southern California.

3) Fast Body Posture Estimation using Volumetric Features, Michael Van den Bergh, Swiss Federal Institute of Technology, Esther Koller-Meier, Swiss Federal Institute of Technology, and Luc Van Gool, ETH Zurich.

4) Estimating Gait Phase using Low-Level Motion, Ben Daubney, University of Bristol, UK, and Neill Campbell, University of Bristol, UK.

5) Steepest Descent For Efficient Covariance Tracking Ambrish Tyagi, Ohio State University, James Davis, Ohio State University, and Gerasimos Potamianos, IBM Thomas J. Watson Research Center.

6) Detecting Semantic Group Activities Using Relational Clustering, Anthony Hoogs, Kitware, Inc., Stephen Bush, GE Global Research Center, Glen Brooksby, GE Global Research, A. G. Amitha Perera, GE Global Research, US, Mark Dausch, GE Global Research, and Nils Krahnstoever, General Electric Global Research.

7) Incorporating Long-Term Observations of Human Actions for Stable 3D People Tracking, Daisuke Sugimura, University of Tokyo, Yoshinori Kobayashi, the University of Tokyo, Yoichi Sato, Tokyo University, and Akihiro Sugimoto, National Institute of Informatics.

8) Online, Real-time Tracking and Recognition of Human Actions, Pradeep Natarajan and Ramakant Nevatia, University of Southern California.

9) Pedestrian Tracking by Associating Tracklets using Detection Residuals, Vivek Kumar Singh, USC, Bo Wu, USC, and Ramakant Nevatia, USC.

10) Model generation for robust object tracking based on temporally stable regions, Prithviraj Banerjee, Indian Institute of Technology, Kharagpur, IN, Axel Pinz, TU Graz, AT, and Somnath Sengupta, IIT Kharagpur, IN.

11) Optimal shape from motion estimation with missing and degenerate data, Manuel Marques, Instituto de Sistemas e Robotica, PT, and João Paulo Costeira, I.S.T. - Technical U. Lisbon / I.S.R. Lisbon, PT.

12) Event based Tracking Evaluation Metric, Daniel Roth, ETH Zurich, CH, Esther Koller-Meier, Swiss Federal Institute of Technology, CH, Daniel Rowe Computer Vision Center-UAB, ES, Thomas Moeslund, Aalborg University, DK, and Luc Van Gool, ETH Zurich, CH.

13) Segmentation of Video Sequences using Spatial-temporal Conditional Random Fields, Lei Zhang, Rensselaer Polytechnic Institute, and Qiang Ji Rensselaer Polytechnic Institute.

14) Fast construction of object correspondence in stereo camera system: an example to human face capturing system, Fai Chan, the Chinese University of Hong Kong, HK, Jiansheng Chen, The Chinese University of Hong Kong, HK, and Yiu Sang Moon, the Chinese University of Hong Kong, HK.