Object Relationship Management Across Multiple Image Capturing Apparatuses
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Solution Overview
Problem
Existing systems struggle to effectively manage the relationship between objects detected in images captured by multiple image capturing apparatuses, leading to unclear relationships between objects across different images.
Innovation Solution
A method and apparatus that involve mapping the positions of multiple image capturing apparatuses to generate mapping information, detecting objects in images using trained models, and storing connection information between detected objects based on their types, behavior, and spatial relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple image capturing apparatuses are used to detect objects, then the quantity of detected objects increases, but the complexity of managing relationships between objects increases
Solution Approach 1:
The patent introduces mapping information as an intermediary data structure that represents spatial relationships between image capturing apparatuses. This mapping information serves as a mediator that connects detection results from multiple apparatuses, enabling the system to manage object relationships across different devices without direct complex interactions between the apparatuses themselves.
Solution Approach 2:
The patent creates a universal connection information structure that can represent various types of relationships between objects detected by different apparatuses. This connection information serves multiple functions: it links objects across devices, stores spatial relationships, and enables relationship management in a unified manner regardless of which specific apparatus detected which object.
2Reliability
If mapping information and connection information are stored, then the ability to identify object relationships improves, but the amount of stored data increases
Solution Approach 1:
The patent extracts and stores only the essential relationship information needed to identify object connections. Rather than storing complete image data or all possible attributes, the system extracts key connection information such as spatial relationships and object associations, storing only what is necessary to maintain relationship identification capability.
Solution Approach 2:
The patent creates simplified copies of relationship data in the form of mapping information and connection information. These are lightweight data structures that replicate only the essential spatial and relational attributes needed to identify object relationships, rather than storing full image data or comprehensive object descriptions.
Data Source
AI summary
Embodiments of the present disclosure relate to a method and apparatus for effectively managing a relationship between objects detected in images captured by a plurality of image capturing apparatuses. A method of managing an object detected by a plurality of image capturing apparatuses includes mapping positions of the plurality of image capturing apparatuses to generate mapping information, obtaining a first image from each of the plurality of image capturing apparatuses, detecting an object from the first image of each of the plurality of image capturing apparatuses, based on a first trained model, and storing the mapping information and connection information between detected objects.


