PETS 2007 Final Programme

8:30-8:40 Welcome and Introductory Remarks (Workshop Chairs)

8:40-10:30 Session 1: Evaluation Projects, Pedestrian Detection & Counting

• Invited Talk: Automatic Video Analysis Technology Evaluations at NIST.
  T. Rose, National Institute of Standards and Technology, USA
• Invited Talk: ETISEO - Results, Evaluation and Future Perspectiives.
  F. Bremond, INRIA Sophia-Antipolis, France
• Is Pedestrian Detection Really a Hard Task?
  H. Grabner, P. M. Roth and H. Bischof, Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria
• Scale Adaptive Clustering for Object Detection and Counting
  C. Beleznai, P. Somner and H. Bischof, Advanced Computer Vision GmBH - ACV, Vienna, Austria; Siemens AG Osterreich, Program and System Engineering, Graz, Austria; Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria.

10:30-11:00 Coffee Break

11:00-12:20 Session 2: Performance Evaluation Methodologies

• Performance Evaluation of Object Tracking Algorithms
  F. Yin, D. Makris and S. Velastin, Digital Imaging Research Centre, Kingston University, London, UK
• Using Synthetic Ground Truth to Evaluate Computer Vision Techniques
  S. R. Musse, M. Paravisi and R. Rodrigues, Grad. Studies in Computing Science - PUCRS, Universidade do Vale do Rio dos Sinos, Sao Leopoldo, Brazil; J. C. S. Jacques Jr. and C. R. Jung, Grad. School of Applied Computing - UNISINOS, Universidade do Vale do Rio dos Sinos, Sao Leopoldo, Brazil.
• Quantitative and Qualitative evaluation of Visual Tracking Algorithms using Statistical Tests
M. Pound, A. Naeem, A. French and T. Pridmore, School of Computer Science, The University of Nottingham UK
• Evaluating Appearance Models for Recognition, Reacquisition, and Tracking
  D. Gray, S. Brennan and H. Tao, Applied Optics Group, Jack Baskin School of Engineering, University of California at Santa Cruz, USA

12:20-14:00 Lunch

14:00-15:15 Session 3: PETS 2007 Datasets 1

• An Overview of the PETS2007 Dataset
  J. Ferryman and D. Tweed, Computational Vision Group, The University of Reading, UK
• Multi-Camera Person Tracking and Left Luggage Detection Applying Homographic Transformation
  D. Arsic, M. Hofmann, B. Schuller and G. Rigoll, Institute for Human Machine Communication, Technical University of Munich, Germany
• Detecting Luggage Related Behaviours using a New Temporal Boost Algorithm
  P. C. Ribeiro, P. Moreno and J. Santos-Victor, Institute for Systems and Robotics, Instituto Superior Tecnico, Lisbon, Portugal

15:15-15:40 Coffee Break

15:40-18:00 Session 4: PETS 2007 Datasets 2

• Event Detection using an Attention-Based Tracker
  G. Dalley, X. Wang and W. E. L. Grimson, Computer Science ad Artificial Intelligence Laboratory, School of Engineering, MIT, USA
• Detection of Temporally Static Regions by Dual Backgrounds in Multi-Camera Systems
  F. Porikli, Mitsubishi Electric Research Laboratories, USA
• Multi Sensor Loitering Detection using Online Viterbi
  H. Ardo and K. Astrom, Centre for Mathematical Sciences, Lund University, Sweden
• Overall Evaluation of the PETS2007 Results
  J. Ferryman and D. Tweed, Computational Vision Group, The University of Reading, UK

18:00 Discussion and Closing Remarks