Human Activity Scripts and Queries for Video Databases. Principal Investigator: Jezekiel Ben- Arie , ECE Dept. Prime Grant Support: NSF.
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Principal Investigator: Jezekiel Ben-Arie, ECE Dept.Prime Grant Support: NSF
This project is focused on the development of methods and interactive tools that enable efficient querying, recognition and retrieval of video clips in a video database of human motion. Natural and symbolic languages are not suited to accurately describe human motion.
An Example of a query composition of human activity along a trajectory. The humanoid then animates it for visual feedback.
Our Approach: is to represent human motion by novel temporal scripts that define the 3D pose and velocity of important body parts. The human body is represented by an hierarchic structure. This enables not only efficient representation but also robust recognition from any viewpoint. The user is also allowed to interactively compose practically any desired motion query and to view it.