Foot Position Estimation Using Vanishing-Point Geometry

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Solution Overview

Problem

Existing techniques for estimating foot positions in images captured by cameras with wide-angle or fisheye lenses fail to accurately determine foot positions due to image distortion, leading to incorrect estimations.

Innovation Solution

A foot position estimating device that uses a processor to detect a human region in an image and estimates the intersection of a line from a reference point to the vanishing point with the human region's edge as the foot position, correcting for distortion based on the distance between the reference point and vanishing point.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If a wide-angle lens or fisheye lens is used to capture a large region, then the monitoring coverage is improved, but the image distortion increases causing incorrect foot position estimation

Engineering Contradiction:
Improvemonitoring coverageVSAvoidfoot position estimation accuracy
Core Design Contradiction:
Area of stationary objectVSMeasurement precision

Solution Approach 1:

The patent changes the parameter of foot position estimation from simple lowest point detection to intersection point calculation based on vanishing point geometry. By using the geometric relationship between reference point, vanishing point, and human region edge, the system accurately determines foot position despite wide-angle distortion that alters apparent vertical positions in the image.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent introduces the vanishing point as an intermediary element to resolve the distortion problem. Instead of directly measuring foot position from distorted image coordinates, the system uses the vanishing point (where parallel lines converge in perspective) as a reference to establish accurate geometric relationships, effectively compensating for wide-angle lens distortion.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If the lowest point in human region is used to estimate foot position, then the estimation process is simple, but the estimation accuracy fails under image distortion

Engineering Contradiction:
Improveestimation process complexityVSAvoidfoot position estimation accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent transforms the estimation approach from using image coordinate geometry (lowest point) to using perspective geometry (vanishing point relationships). This parameter change enables accurate foot position estimation by leveraging the mathematical property that lines converging at the vanishing point maintain accurate spatial relationships even under wide-angle distortion.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent performs preliminary detection of the vanishing point and reference point in the human region before calculating the foot position. By pre-establishing these geometric references from the distorted image, the system creates a corrected coordinate framework that enables accurate foot position measurement without requiring complex real-time distortion correction.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250363663A1Foot position estimating device, foot position estimating system, method and computer program for estimating foot position, and movement sensing device
Publication Date: 2025.11.27 TOYOTA JIDOSHA KK
  • US20250363663A1 patent drawing
  • US20250363663A1 patent drawing
  • US20250363663A1 patent drawing

AI summary

A foot position estimating device includes a processor configured to detect a human region representing a human in a predetermined region from an image generated by a camera configured to capture the predetermined region, and estimate a point of intersection of a line from a reference point in the human region to a vanishing point of the image with an edge of the human region as a foot position of the human, thereby correctly estimating a foot position of the human represented in the image.