DETERMINING X,Y,Z,T BIOMECHANICS OF MOVING ACTOR WITH MULTIPLE CAMERAS

Smart overview of the Invention

A network of tracking cameras is deployed to monitor a specific area where sports participants frequently hover during events. These cameras capture two-dimensional images that are then transformed into a multi-dimensional coordinate system (Xw, Yw, Zw, Tw). This process enables the precise tracking of body parts and their movements within the designated area.

Body Part Recognition and Mapping

A body part recognizing unit identifies specific body parts in the captured images. The identified two-dimensional locations are mapped into the established multi-dimensional coordinates. This mapping is crucial for generating accurate representations of the motion of these body parts over time.

Multi-Dimensional Motion Curve Generation

A multi-dimensional curve generator utilizes the mapped coordinates to create a motion curve that illustrates the dynamics of the tracked body parts. This curve serves as a foundational element for analyzing play actions and their correlation with real-world sports outcomes.

Advantages Over Traditional Systems

The proposed system offers significant improvements over traditional tracking methods that rely on synchronized cameras. It eliminates the need for complex synchronization setups like genlocking, which can be cumbersome and prone to errors. Instead, it allows for asynchronous operation of cameras while still producing reliable biomechanical models.

Database Integration and Training Applications

Biomechanical models generated from the tracking data are stored in a database linked to sports results and other relevant metrics. This integration facilitates data mining to uncover correlations between player motions and game outcomes, which can enhance training strategies and improve performance in future games.