Multi-Camera Impact Detection for Flopping Analysis
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Solution Overview
Problem
In sports, players often engage in 'flopping' to deceive officials about illegal contacts, leading to unfair advantages and compromising game fairness and watchability, as officials struggle to accurately assess collisions due to obstructed views and reliance on empirical evidence.
Innovation Solution
A system and method using image detection and analysis to determine whether a collision occurred and its impact, involving object detection, force calculation, and response analysis, with synchronized image data processing to provide a confidence score on the legitimacy of player reactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If officials rely on empirical evidence and obstructed views to assess collisions, then decision-making is based on limited information, but measurement precision deteriorates leading to inaccurate foul detection
Solution Approach 1:
The patent transitions from 2D camera views to 3D spatial reconstruction by combining multiple camera angles and using depth information to reconstruct the collision event in three-dimensional space, allowing officials to see through obstructions and accurately determine whether contact occurred
Solution Approach 2:
The system introduces computer vision algorithms and AI analysis as intermediaries between the collision event and official decision-making, processing visual data from multiple cameras to generate objective collision detection results that eliminate the information loss caused by human visual limitations
2Measurement precision
If officials use empirical evidence to estimate illegal contact, then decision-making process is simplified, but measurement precision deteriorates due to player deception through flopping
Solution Approach 1:
The patent replaces the mechanical human decision-making process with an automated computer vision system that uses AI algorithms to objectively analyze collision events, eliminating susceptibility to player deception while maintaining streamlined operation through automated processing
Solution Approach 2:
The system performs self-analysis by automatically processing video data, detecting collisions, and generating foul detection recommendations without requiring complex manual review procedures, thereby improving accuracy while keeping the operational process simple
3Measurement precision
If multiple cameras are deployed to improve collision detection, then measurement precision improves, but device complexity increases due to synchronized image data processing
Solution Approach 1:
The patent merges data from multiple cameras into a unified 3D reconstruction process, combining multiple video streams and synchronizing them temporally and spatially to create a comprehensive view of the collision event, thereby improving detection reliability while managing complexity through integrated processing
Data Source
AI summary
A system and method for detecting false or exaggerated responses to physical contact. Image capture devices are positioned around a monitored area for capturing still or video images of an activity that include a moment of contact. Those images are synchronized to allow for composite analysis. Then object detection is performed to identify objects of interest within the images. Structural elements of the objects are then identified. Based on the structural elements, a determination is made as to whether a contact was made, for example based on whether structural elements of two nearby objects became adjacent or overlapping with one another, a force is calculated based on a speed of movement of those elements, and then machine learning is used to determine whether a response to contact was within reasonable expectations based on the amount of force and other factors.