AI Sports Video Analysis Server for Player Tracking and Identification
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Solution Overview
Problem
Current methods for analyzing sports videos require significant human resources and dedicated equipment or teams, making them inefficient in terms of resource utilization.
Innovation Solution
The implementation of artificial intelligence technology to analyze sports videos by pre-processing frames to filter out static pixels, tracking the ball, detecting score-related scenes, and identifying unidentified players through dynamic pixel analysis, with features compared to registered players to determine player identities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If professional personnel manually analyze sports videos, then analysis accuracy is maintained, but human resources and time consumption increase significantly
Solution Approach 1:
The patent replaces manual mechanical analysis by professional personnel with an automated AI-based video analysis system. The system uses computer vision algorithms to automatically detect players, track movements, identify scoring events, and generate statistics, substituting human labor with machine-based processing while maintaining analysis accuracy and significantly reducing time consumption.
Solution Approach 2:
The video analysis system performs self-service by automatically processing sports video content without requiring continuous human intervention. The AI model autonomously executes detection, tracking, event recognition, and statistic generation tasks, enabling the system to serve itself in analyzing multiple videos efficiently.
2Reliability
If dedicated shooting equipment and teams are used for video analysis, then analysis quality is ensured, but resource requirements and system complexity increase
Solution Approach 1:
The patent implements a universal video analysis platform that can handle multiple types of sports videos and analysis tasks using a single AI-based system. The platform performs player detection, tracking, scoring event recognition, and statistic generation across different sports, eliminating the need for dedicated equipment and teams for each specific analysis task.
Solution Approach 2:
The system replaces dedicated physical equipment and human teams with an AI-based computational system that processes videos through software algorithms, significantly reducing hardware and human resource requirements while maintaining or improving analysis quality through consistent automated processing.
3Measurement precision
If manual methods are used for player identification and video clip extraction, then detailed analysis is possible, but productivity and efficiency decrease
Solution Approach 1:
The AI-based system enables continuous automated processing of video content, performing player detection, tracking, identification, and clip extraction without interruption. The system processes videos in a continuous workflow, automatically generating detailed analysis results and player-specific video clips at high speed, thereby maintaining detailed analysis capability while dramatically improving productivity.
Solution Approach 2:
The patent replaces manual methods for player identification and video clip extraction with automated AI algorithms that continuously process video frames, detect players, track their movements, identify them through pattern recognition, and automatically extract relevant video clips, achieving both detailed analysis and high efficiency simultaneously.
Data Source
AI summary
A method of operating a server providing a sports video-based platform service includes tracking a ball by using a pre-processing of leaving dynamic pixels in the sports video of a ball game, determining an unidentified player associated with a score-related scene of the sports video by using a ball tracking result, identifying the unidentified player by tracking the unidentified player up to an adjacent frame where the unidentified player is identifiable, and generating a time section of the sports video and identification information for the unidentified player, corresponding to the score-related scene.