Morning: Image Database Retrieval | ||
Gatekeeper: Face detection and recognition | ||
Complex Feature Image Database Retrieval (Tieu) | ||
Flexible Template Retrieval (Yu) | ||
Interlude | ||
Video/Audio Source Separation (Fisher) | ||
Mathematical Expression Recognition (Matsakis) | ||
Lunch | ||
Visit Prof. Brooks lab |
Afternoon: Variable Viewpoint Reality | ||
Real-time 3D reconstruction of people (Snow) | ||
Automatic camera calibration (Snow + Lee) | ||
Tracking of articulate human models (Lee + Winn) | ||
Modeling of human dynamics (Viola + Fisher) | ||
Construct a system that will allow each/every user to observe any viewpoint of a sporting event. | ||
Provide high level commentary/statistics | ||
Analyze plays |
Build an exciting, fun, high-profile system | |||
Sports: Soccer, Hockey, Tennis, Basketball | |||
Drama, Dance, Ballet | |||
Leverage MIT technology in: | |||
Vision/Video Analysis | |||
Tracking, Calibration, Action Recognition | |||
Image/Video Databases | |||
Graphics | |||
Build a system that provides data available nowhere else… | |||
Record/Study Human movements and actions | |||
Motion Capture / Motion Generation |
20-50 cameras in a stadium | ||
Soon there will be many more | ||
US HDTV is digital | ||
Flexible, very high bandwidth digital transmissions | ||
Future Televisions will be Computers | ||
Plenty of extra computation available | ||
3D Graphics hardware will be integrated | ||
Economics of sports | ||
Dollar investments by broadcasters is huge (Billions) | ||
Computation is getting cheaper |
ViewCube:
Reconstructing action &
movement
Projecting Silhouettes to
form
3D Models
Finding an articulate human body
Automatically generated result:
Key Difficulty: Complex Time Trajectories | ||
Complex Inter-dependencies | ||
State of the Art: Hidden Markov Models | ||
Have a discrete number of states | ||
Our Approach: Multi-scale statistical models |
Human Motion is extremely complex:
Texture Analysis and
Synthesis
can be applied to Movement Data