A fundamental goal of computer vision is the ability to analyze motion. As one of the most active research areas in computer vision, visual analysis of human motion attempts to detect, track and identify people, and more generally, to interpret human behaviours, from image sequences involving humans. Human motion analysis has attracted great interests from computer vision researchers due to its promising applications in many areas such as visual surveillance, perceptual user interface, content-based image storage and retrieval, video conferencing, athletic performance analysis, virtual reality, etc.
Human motion analysis has been investigated under several large research projects worldwide. For example, Defence Advanced Research Projects Agency (DARPA) funded a multi-institution project on Video Surveillance and Monitoring (VSAM), whose purpose was to develop an automatic video understanding technology that enabled a single human operator to monitor activities over complex areas such as battlefields and civilian scenes. The real-time visual surveillance system W4 employed a combination of shape analysis and tracking, and constructed the models of people’s appearances to make itself capable of detecting and tracking multiple people as well as monitoring their activities even in the presence of occlusions in an outdoor environment. Researchers in the UK have also done much research on the tracking of vehicles and people and the recognition of their interactions. In addition, companies such as IBM and Microsoft are also investing on research on human motion analysis.

In recent years, human motion analysis has been featured in a number of leading international journals such as International Journal of Computer Vision (IJCV), Computer Vision and Image Understanding (CVIU), IEEE Transactions on Pattern Recognition and Machine Intelligence (PAMI), and Image and Vision Computing (IVC), as well as prestigious international conferences and workshops such as International Conference on Computer Vision (ICCV), IEEE
International Conference on Computer Vision and Pattern Recognition (CVPR), European Conference on Computer Vision (ECCV), Workshop on Applications of Computer Vision (WACV), and IEEE International Workshop on Visual Surveillance (IWVS).

Application fields :
 Smart Video Surveillance

Smart Video Surveillance

• Geofencing / Abnormal activity
• Aggression / distress detection / crowd surveillance
• Dynamic (e.g. gait) biometry

 Human – Machine Interfaces

Human - Machine Interfaces

• Visual command
• Avatar control
• Language sign

 Bio-medical applications

Bio-medical applications

• Gait analysis
• Elderly monitoring
• Sport analysis

GLOBAL FRAMEWORK

GLOBAL FRAMEWORK

Contents (Outline) :
 Human detection
• Motion segmentation
• Human silhouette
 Tracking and model fitting
• Tracking fundamentals
• Model free tracking
• Model based tracking
 Human motion understanding
• Visual features
• Action recognition