Swimming Pool Athlete Tracking Video Processing
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Solution Overview
Problem
Existing technologies face challenges in precisely identifying the state of an athlete in a swimming pool, particularly in determining changes in the advancing direction and handling erroneous detections near the pool ends, which affects the accuracy of video image processing and content creation.
Innovation Solution
A method and device that utilize a video image processing system to detect athletes in a swimming pool by analyzing video frames, correcting athlete positions, validating detection results, and adjusting advancing directions based on user inputs and predetermined thresholds, ensuring accurate tracking and display of athlete states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a mobile body tracking device tracks an athlete in a video image using predicted position based on past positional information, then the tracking can be maintained, but erroneous detections occur near the pool ends affecting accuracy
Solution Approach 1:
The system performs preliminary validation of detection results by checking whether the athlete is present in a region on the side of an end of the swimming pool before finalizing the tracking data. This preliminary check prevents erroneous detections from affecting the overall tracking accuracy.
Solution Approach 2:
The system uses feedback from detection results to identify when an athlete is present near the pool end, and automatically adjusts the tracking behavior by identifying the advancing direction as different from the previous direction. This feedback mechanism corrects errors in real-time.
2Measurement precision
If the system identifies advancing direction changes based on detection results, then the athlete state identification becomes more accurate, but the processing complexity increases
Solution Approach 1:
The system applies different processing rules based on the local region where the athlete is detected. When the athlete is detected in a region on the side of an end of the swimming pool, the system applies specific logic to identify advancing direction changes, rather than using a uniform approach throughout the entire video frame.
Solution Approach 2:
The system changes the interpretation parameter of advancing direction based on the athlete's position. When the athlete is near the pool end, the system identifies the advancing direction as different from the previous direction, effectively changing the directional parameter to maintain accuracy.
Data Source
AI summary
To precisely identify a state of an athlete who is present in a swimming pool, a processor used in a device for identifying a state of an athlete or a method for identifying a state of an athlete refers to a result of performing processing of detecting the athlete in a video image obtained by imaging the athlete who is present in the swimming pool and identifies an advancing direction of the athlete as a direction that is different from the previous advancing direction on the basis of a result of the detection of the athlete after the athlete is present in a region on the side of an end of the swimming pool. In this manner, it is possible to more accurately identify the advancing direction of the athlete and to thereby precisely identify the state of the athlete who is present in the swimming pool.