Person Entry Detection Using Articulation Points and Reference Regions
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Solution Overview
Problem
There is a need for effective techniques to determine whether a specific part of a person is within a predetermined region and to track the history of actions of individuals entering such regions.
Innovation Solution
A determination apparatus and method that includes an image data acquiring unit, an articulation point estimating unit, a feature element setting unit, an entry determining unit, and an output unit, which acquires and processes image data to estimate articulation points of a person, sets feature elements based on these points, and determines if the person is within a predefined reference region, outputting the determination result.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single-layer or multilayer danger area is set around a power transmission line and a heavy machine's approach is monitored, then safety monitoring is achieved, but the system complexity and computational load increase
Solution Approach 1:
The patent divides the monitoring system into distinct functional modules: image data acquisition unit, articulation point estimation unit, feature element setting unit, entry determination unit, and output unit. Each module performs a specific task in the monitoring process, making the overall system more manageable and easier to implement while maintaining comprehensive safety monitoring capabilities
Solution Approach 2:
The system pre-sets reference regions (danger areas) around power transmission lines before monitoring begins. By establishing these monitoring zones in advance and preparing the articulation point estimation models, the system reduces real-time computational requirements and enables faster response when objects enter the danger zones
2Measurement precision
If articulation points and feature elements are estimated and analyzed to determine person entry, then detection accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent extracts only the essential articulation points (such as head, hands, feet) and their corresponding feature elements from the complete image data, rather than analyzing every pixel or object feature. This selective extraction maintains high detection accuracy for determining whether a person has entered the reference region while significantly reducing the computational burden and processing time
Solution Approach 2:
The system applies different processing qualities to different parts of the image data by focusing computational resources on estimating articulation points and setting feature elements only in regions where persons are detected. This localized approach concentrates accuracy where needed (at articulation points) while reducing overall processing requirements compared to analyzing the entire image at high resolution
Data Source
AI summary
A determination apparatus includes at least one memory storing instructions, and at least one processor. The at least one processor is configured to execute the instructions to acquire image data of a predetermined space captured by an image capturing device, estimate articulation points of a person in the image data, set a feature element of the person based on the articulation points, determine whether the person is in a reference region set in advance, based on the feature element, output information regarding a determination result of the determination made by the entry determining unit.