MC2 2016 - International Workshop on Motion Capture and Classification (MC2-16)

Motion capture and classification (MC2) are important tasks in fields such as sports sciences, biometrics, and particularly in computer animation, medicine and surveillance systems, where large collections of motion material are archived and processed. In recent years, the gaming industry has done extensive research in motion detection and processing, resulting in low-cost and yet effective systems. However, there are many new applications that require specific and customised motion capture and classification capability, necessitating further research into these areas.
Topics of interest that MC2-16 covers include general motion capture and classification techniques and methodologies, as well as their novel applications (but are not limited to):
surveillance systems: motion detection, classification, tracking
understanding and description of human behaviours
human identification, occlusion handling
gesture recognition
classification of 3D gait analysis data
motion sensing techniques
motion sensing devices: Kinect / Wii sensors
human motion/action recognition
models for articulated objects: joint detection and pose estimation
e-learning systems based on motion capture
collaborative motion capture and classification
motion recognition in assistive technologies
real-time motion tracking and classification systems
motion classification techniques
motion capture and classification applications
motion capture and classification in networking
3D animation and simulation-based training systems
rigid body motion ? robot motion
similarity, retrieval and classification of motion data
Accepted papers will be published by the Conference Publishing Services (CPS) and archived in the Digital Library.
Extended version of selected papers will be considered for publication in several international journals.