Radar-Camera Sports Training Video Extraction
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Solution Overview
Problem
Current sports training methods are inefficient as they require manual capture and editing of videos from multiple cameras, which is time-consuming and restricts player motion due to wearable tools.
Innovation Solution
A method using cameras and radar sensors to capture and save only specific motion intervals of a player during training, allowing for real-time analysis and correction of training techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple cameras are used to capture player videos from various directions, then the completeness of training video coverage is improved, but the complexity of video collection and processing increases
Solution Approach 1:
The patent introduces an automated video processing system that acts as an intermediary between multiple cameras and the training analysis process. This system automatically collects, synchronizes, and processes videos from multiple cameras, eliminating the need for manual handling and reducing processing complexity while maintaining complete video coverage.
Solution Approach 2:
The patent replaces the manual mechanical process of video collection and editing with an automated computer-based system. The system automatically captures videos from multiple cameras, synchronizes them based on detected motions, and processes them without requiring manual intervention, thereby reducing complexity while maintaining comprehensive coverage.
2Loss of information
If all captured videos are saved and processed, then the completeness of training analysis is improved, but the time and computational resources required increase
Solution Approach 1:
The patent extracts only the relevant portions of video data by detecting specific motions using radar sensors. Instead of saving and processing all captured videos, the system identifies and extracts only those video segments corresponding to actual player motions, significantly reducing processing time and computational resources while maintaining complete training analysis capability.
Solution Approach 2:
The patent applies partial action by processing only the necessary portion of video data rather than all captured footage. By using radar motion detection to identify relevant intervals, the system processes a partial but sufficient set of video segments, reducing time and resource consumption while maintaining analysis completeness.
3Adaptability or versatility
If wearable tools are used to help player training, then the training assistance capability is improved, but the player motion freedom deteriorates
Solution Approach 1:
The patent introduces radar sensors and automated video processing systems as intermediaries between the player and the training analysis process. These non-contact tools provide comprehensive training assistance through motion detection and video analysis without requiring the player to wear any equipment, thereby maintaining full motion freedom while improving training capability.
Solution Approach 2:
The patent replaces wearable mechanical training tools with non-contact radar sensing and automated video analysis. This substitution eliminates the physical constraints imposed by wearable devices while maintaining or enhancing training assistance capability through advanced sensing and processing technologies.
4Speed
If hardware and server capacity are increased to process videos in real time, then the real-time processing capability is improved, but the system cost increases
Solution Approach 1:
The patent extracts only the necessary video segments for processing by using radar motion detection to identify relevant intervals. This extraction approach reduces the volume of video data that requires real-time processing, enabling faster processing speeds with reduced hardware and server capacity requirements.
Solution Approach 2:
The patent applies partial action by processing only the essential portions of video data rather than all captured footage. This approach achieves real-time processing capability with moderate hardware resources by focusing computational efforts on relevant video segments identified through motion detection.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient analysis and correction of player techniques by saving only relevant video segments, improving training efficiency and reducing the risk of injury.
Implementation Method 1
a second step of detecting a specific motion of the player through a radar sensor
Data Source
AI summary
Disclosed is a method for providing sports training videos using a camera and a radar sensor. The present invention is configured so that, when a specific motion of a player is captured by means of radar sensors in a state where a player is being simultaneously captured in real time from various directions by means of one or more cameras during a game or training, only videos of an interval corresponding to the detected specific motion of the player are saved, thus making it possible to: analyze problems that the player has in the game or training through replays of the saved videos; correct problems that the player has during training on the basis of the results of the analysis by distinguishing between the player's incorrect posture and the posture suitable for the player's physical requirements, the player's posture during slumps and during good periods, etc.; correct the player's posture through comparison with the postures of good players and the maximization of the strengths of the player; prevent injuries caused by the player's incorrect posture; and improve skills through the minimization of the player's weaknesses.