Basketball Video Goaltending Detection From Ball Impact Tracking
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Solution Overview
Problem
Basketball referees often make errors in officiating fast-paced games due to the complexity of detecting infractions like goaltending, necessitating additional assistance for accurate and timely decision-making.
Innovation Solution
A system utilizing multiple cameras capturing high-resolution images at 60 fps, combined with object detection, skeletal tracking, and impact classification algorithms to identify goaltending violations by determining the real-life positions of the basketball, rim, and player interactions, providing an indication to referees.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple referees are used to officiate the game, then the reliability of infraction detection is improved, but the device complexity and cost increase
Solution Approach 1:
The patent replaces the mechanical system of multiple human referees with an automated video analysis system using computer vision algorithms. The system processes video streams from cameras to automatically detect goaltending events, substituting human physical presence and decision-making with computational analysis, thereby reducing device complexity while maintaining or improving detection reliability.
Solution Approach 2:
The system creates a virtual model of the basketball game by capturing and analyzing video images. Instead of requiring multiple physical referees to observe the game simultaneously, the system creates digital copies of the game scenes through camera feeds and processes these copies through image analysis algorithms to detect infractions, reducing the need for multiple physical officials.
2Productivity
If manual referee judgment is used, then the device complexity is reduced, but the productivity and speed of infraction detection deteriorate
Solution Approach 1:
The system implements continuous video stream processing where cameras continuously capture game footage and the image analysis algorithms continuously process the video frames in real-time. This continuous automated analysis eliminates the intermittent nature of manual referee observation and decision-making, significantly improving detection speed and productivity while the automation handles the complexity of continuous video processing.
3Measurement precision
If automated video analysis is implemented, then the productivity and accuracy of infraction detection are improved, but the device complexity increases
Solution Approach 1:
The system introduces an intermediary layer of computer vision algorithms and processing circuitry between the video cameras and the final infraction determination. This intermediary automatically analyzes video frames to detect ball position, player position, and goaltending events, providing precise measurement and classification of infractions while managing the computational complexity through specialized processing modules.
Data Source
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AI summary
A device for detecting a goaltending event is described. The devices comprises circuitry configured to: determine a real-life position of a basketball from a video stream; detect an impact on the basketball from the movement of the basketball captured in the video stream; output a signal indicating a detected goaltending event based on the detected impact and the real-life position of the basketball.