Image Processing Apparatus Contact Determination via Selective Region Analysis
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Solution Overview
Problem
Existing video recognition technologies fail to perform detailed interpretation of events in video images, particularly in determining the contact state between objects, which is crucial for accurately assessing actions in sports and surveillance scenarios.
Innovation Solution
An image processing apparatus that sequentially acquires frames from an image sensing device, detects specific situations, and determines object contact through recognition processing, using a combination of event detection, object detection, and contact determination units to assess physical contact based on velocity, acceleration, and distance analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video recognition processing is performed on all objects in a video image, then detailed event interpretation is achieved, but calculation cost and processing time increase significantly
Solution Approach 1:
The video image is segmented into multiple regions, and only regions containing prescribed situations (events of interest) are subjected to detailed object detection and contact determination processing. This selective approach reduces calculation load while maintaining accuracy for critical events.
Solution Approach 2:
Recognition processing is performed preliminarily on the entire video image to identify prescribed situations before conducting detailed object detection. This preliminary filtering step prepares the system by pre-identifying regions that require further analysis, avoiding unnecessary processing in irrelevant areas.
2Measurement precision
If detailed object detection and contact determination are performed, then event interpretation accuracy is improved, but device complexity increases
Solution Approach 1:
The processing system is segmented into distinct functional units: recognition processing for identifying prescribed situations, object detection for specific object types, and contact determination for analyzing interactions. This modular segmentation manages complexity by organizing functions into manageable, specialized components.
Solution Approach 2:
The patent extracts and isolates specific object types related to prescribed situations from the complex video scene. By focusing detection and contact determination only on relevant objects rather than all objects in the scene, the system reduces processing complexity while maintaining high accuracy for events of interest.
3Loss of information
If contact determination is performed on all detected objects, then comprehensive event analysis is achieved, but calculation time increases
Solution Approach 1:
Recognition processing is performed preliminarily to identify prescribed situations before conducting contact determination. This preliminary identification filters out irrelevant regions and objects, so contact determination is only performed on objects within regions containing prescribed situations, reducing overall processing time while preserving all necessary event details.
Solution Approach 2:
Contact determination is segmented to apply only to objects within regions containing prescribed situations rather than all objects in the video image. This selective application maintains comprehensive event detail information for relevant situations while avoiding unnecessary calculations in irrelevant areas.
Data Source
AI summary
An image of each frame output from an image sensing device is sequentially acquired. A situation appearing in the image is recognized through recognition processing performed on the image, and, if the recognized situation is a prescribed situation, an object of a type related to the prescribed situation is detected from the image and from an image of each frame containing the image. A detection position, in the image, of each object is used to determine whether the objects come in contact with each other in a physical space.