Foot Position Detection Using Upper Body Estimation
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Solution Overview
Problem
Existing foot contact position tracking devices struggle to accurately detect the position of a human foot when it is hidden behind an obstacle or when the posture of the detection target person varies, leading to inconsistent detection results.
Innovation Solution
A detection system comprising a foot detection unit, an upper body detection unit, and an estimation unit that calculates the moving distance of the foot and upper body to estimate the state of the detection target person, including whether the foot is hidden or the posture is varied, and corrects the detected foot position based on a skeleton model when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If image processing is used to detect foot position, then the detection can be performed automatically, but the detection precision varies when the foot is hidden behind obstacles or when posture varies
Solution Approach 1:
The detection system is divided into multiple independent detection units: a foot detection unit for detecting foot position, an upper body detection unit for detecting upper body position, and a state estimation unit for estimating detection states. This segmentation allows each unit to specialize in specific detection tasks, improving overall detection precision while maintaining automation.
Solution Approach 2:
A state estimation unit is introduced as an intermediary component that estimates the detection state based on detection results from both foot and upper body detection units. This intermediary analyzes the relationship between foot and upper body positions to determine whether the foot is hidden or posture has varied, thereby correcting detection precision issues without compromising automated detection.
2Device complexity
If only foot position is detected, then the detection process is simple, but the precision cannot be enhanced when the foot state is hidden or posture varies
Solution Approach 1:
The system transitions from one-dimensional foot position detection to two-dimensional detection by incorporating upper body position detection as an additional dimension. The state estimation unit utilizes the spatial relationship between foot and upper body positions to infer detection state, thereby improving precision without excessive complexity increase.
Solution Approach 2:
The system performs preliminary detection of both foot and upper body positions before final foot position determination. The state estimation unit preliminarily assesses whether the foot is hidden or posture has varied based on the detected positions, enabling corrective actions to be taken before final detection results are produced.
3Ease of operation
If the detection system does not estimate detection state, then the system is simple to operate, but the precision of detecting foot position cannot be enhanced under varied conditions
Solution Approach 1:
The detection system performs self-service by automatically estimating its own detection state through the state estimation unit. The system autonomously determines whether foot position detection is reliable by analyzing the relationship between detected foot and upper body positions, and automatically corrects detection results when hidden states or posture variations are detected, maintaining ease of operation while improving precision.
Data Source
AI summary
A detection system according to the present disclosure includes: a foot detection unit that detects a position of a foot of a detection target person; an upper body detection unit that detects a position of at least part of an upper body of the detection target person; and an estimation unit that estimates the state of the detection target person based on the moving distance of the foot calculated by using the detected position of the foot and based on the moving distance of the at least part of the upper body calculated by using the detected position of the at least part of the upper body.