International Workshop on Human Tracking and Behaviour Analysis
Scope
Video processing to analyse human gesture is a hot and promising topic since it was adopted in many various applications like video surveillance, medical monitoring, virtual reality, interaction with machines, etc. The human class is a core concern of research and industry because it points the way towards artificial intelligence. How can a computer do the same interpretation of a scene that a human can do? The possibilities are endless but are reliant on the effectiveness of primal processes: analysing and recognizing human gestures and behaviours.
This workshop aims to investigate the various methodologies, media (2D or 3D captors) and constraints (real-time) that leads to answer to the three mean steps of this problem: tracking, description and learning. The processes have to be adapted to the particularly complex class of the human. We encourage submissions focusing on the way to follow the movement, describe gesture and recognize behaviours at different level (full body, legs, hand, etc.).
Topics for the workshop include, but are not limited to:
- Human position tracking
- Human pose tracking
- Action classification / learning
- Gait recognition
- Emotion recognition
- Hand tracking
- People detection
- Pedestrian trajectory prediction
- Video surveillance
- Buying acts recognition
- 2D and 3D motion analysis
- Video games interfacing
- Soft computing approaches for embedded multimedia system
- Avatar animation
- Gesture integration in virtual reality environment
Workshop Co-Chairs
Cyrille Migniot, Le2i, Université de Bourgogne, France
Fakhreddine Ababsa, IBISC, Université d’Evry Val d’Essonne, France
Program Committee
- Raul Beltran Beltran, Technische Universität Chemitz, Germany
- Yannick Benezeth, University of Burgundy, France
- Ramesh Kulkarni, VES Institute of Technology, Mumbai, India
- Wanqing Li, University of Wollongong, Australia
- Jesus Martinez-del-Rincon, Queen’s Universtity Belfast, UK
- Alessia Saggese, University of Sallerno, Italy
- Hazem Wannous, Université de Lille, France