Image Processing Device for Golf Swing Motion Similarity Sorting
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Solution Overview
Problem
Conventional image processing systems for replaying multiple moving images on a single screen lack an efficient method to select the most similar image to an ideal model, such as a professional golfer's swing, from user-recorded images, making it difficult for users to identify and compare their golf swing with the ideal model without manually replaying each candidate.
Innovation Solution
An image processing device that determines the similarity of golf swing motions between user-recorded and ideal model images, sorting and displaying the user-recorded images based on their similarity to the ideal model, allowing users to visually select the most similar image before replaying it alongside the ideal model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional GUI displays moving images sorted by date or file name, then users can browse all recorded images, but users cannot efficiently identify the most similar image to an ideal model among multiple candidates
Solution Approach 1:
The patent transforms the sorting criterion from simple metadata (date, file name) to a computed similarity parameter based on motion analysis. The system extracts motion parameters from each moving image, compares them against an ideal model's motion parameters, and sorts images based on the calculated similarity degree, enabling precise identification of the most similar image.
Solution Approach 2:
The patent replaces manual visual inspection and comparison with an automated image processing system that uses computer vision algorithms to extract motion parameters, calculate similarity metrics, and sort images automatically. This substitution of mechanical/manual processes with automated computational processes resolves the contradiction between measurement precision and processing complexity.
2Ease of operation
If users manually replay each candidate image to find the best match, then users can visually compare each image, but users consume excessive time and effort in the selection process
Solution Approach 1:
The patent performs preliminary sorting of moving images based on similarity to the ideal model before the user needs to make a selection. By pre-calculating motion parameters and arranging images in descending order of similarity, the system eliminates the need for users to manually replay and compare each candidate, significantly reducing selection time and effort.
Solution Approach 2:
The system performs the selection task automatically by computing similarity metrics and sorting images according to the results. The automated sorting function serves the user's need for efficient image selection without requiring manual intervention, thereby resolving the contradiction between ease of operation and time consumption.
3Measurement precision
If the system analyzes motion parameters to determine similarity, then users can find the most similar image to the ideal model, but the processing complexity and computational requirements increase
Solution Approach 1:
The patent extracts only the essential motion parameters from each moving image that are relevant to similarity comparison, rather than analyzing all image data. By identifying and extracting key motion characteristics (such as trajectory, speed, and temporal patterns), the system achieves precise similarity measurement with reduced computational requirements.
Data Source
AI summary
An image processing device executes: a determination process of determining similarity of a motion of a subject in each of a plurality of pieces of moving image data stored in the storing unit; a selection process of selecting a specific piece of moving image data from among the pieces of moving image data on the basis of the similarity determined by the determination step; and an output process of outputting information of a selection result by the selection step.