Image Processing Apparatus Depth Detection Overlap
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Solution Overview
Problem
Existing image processing systems face challenges in accurately determining whether an object has intruded into a protected region, especially when objects are in close proximity or overlapping in depth, leading to potential errors in detection precision.
Innovation Solution
An image processing apparatus with a detection unit that identifies objects within an image and a determination unit that compares feature amounts between the detected object and a protective barrier region to determine their positional relationship, enhancing detection precision by analyzing overlapping regions and occlusion events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If object detection is performed using traditional image processing methods, then detection speed is maintained, but detection precision deteriorates when objects overlap in depth
Solution Approach 1:
The patent introduces depth information as a new dimension by analyzing occlusion relationships between overlapping objects. Instead of treating all pixels equally in 2D space, the system determines depth order by identifying which object occludes another, effectively adding a Z-axis dimension to the detection space and enabling accurate depth-aware detection despite 2D image constraints
Solution Approach 2:
The patent performs preliminary occlusion analysis by comparing feature amounts across overlapping regions before final detection. By pre-determining depth relationships through feature comparison in overlapped regions, the system prepares depth information in advance, which then guides the final detection process and improves precision without requiring complex real-time processing
2Measurement precision
If feature comparison is performed in overlapped regions to determine depth relationship, then positional accuracy in depth direction is improved, but processing time increases
Solution Approach 1:
The patent applies local quality by performing feature comparison only in overlapped regions rather than across the entire image. By concentrating processing resources on specific local areas where depth determination is needed (overlapped regions between candidate objects and protective barrier), the system achieves high positional accuracy while minimizing overall processing time through selective local analysis
3Reliability
If occlusion analysis is performed to determine depth relationship, then false positives are reduced, but computational load increases
Solution Approach 1:
The patent extracts and analyzes only the critical occlusion features from overlapped regions rather than processing entire objects. By taking out and comparing specific feature amounts (such as color, texture, or shape characteristics) from the overlapping areas, the system determines depth relationships with minimal computational overhead, reducing false positives without imposing heavy computational loads
Data Source
AI summary
An image processing apparatus includes a detection unit which detects an object which is included in an image; and a determination unit which determines a positional relationship between a detected object and a protective barrier region in a depth direction of the image based on a feature amount relating to at least one of the detected object and the protective barrier region, when the detected object and the protective barrier region overlap with each other in the image.