Gate Face Tracking for Accurate Passenger Position Estimation
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Solution Overview
Problem
Existing passage management systems for gates at facilities like stations and airports face challenges in accurately tracking the position of individuals, leading to errors in determining whether a person has passed through the gate, which can result in mischarging or unauthorized access.
Innovation Solution
A system utilizing cameras installed on the side walls of the gate to capture images from multiple directions, enabling face authentication and tracking processes without the need for additional ceiling-mounted equipment, thereby improving estimation accuracy and reducing installation costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ceiling-mounted cameras or additional tracking infrastructure are installed to improve passage management accuracy, then measurement precision is improved, but device complexity and installation cost increase
Solution Approach 1:
The face authentication camera is made multi-functional by enabling it to perform both face authentication and passage tracking simultaneously. The camera captures images for authentication, and the same image data is processed to detect face position changes over time, allowing the single camera to fulfill dual purposes without requiring separate tracking infrastructure.
Solution Approach 2:
The system uses its own authentication camera and image processing capabilities to perform passage tracking independently. By analyzing the movement of the detected face region in sequential images from the authentication camera, the system achieves self-service tracking without external assistance or additional hardware.
2Measurement precision
If multiple cameras are installed to improve passage management accuracy, then measurement precision is improved, but installation cost and system complexity increase
Solution Approach 1:
The authentication camera performs dual functions of face verification and passage tracking. By reusing the same hardware resource for multiple purposes, the system eliminates the need for separate tracking cameras, thereby reducing installation costs while maintaining tracking functionality.
Solution Approach 2:
Instead of using physical tracking cameras, the system creates virtual tracking data by processing copies of the authentication images. The face region extracted from authentication images is analyzed for position changes, effectively creating tracking information from authentication data without requiring additional physical sensors.
3Productivity
If traditional tracking methods are used to manage passage, then passage management is performed, but estimation accuracy of person position deteriorates
Solution Approach 1:
The system replaces traditional mechanical or infrastructure-based tracking methods with an image processing-based approach. By detecting the position of the face region in sequential images and calculating displacement, the system achieves accurate tracking through computational methods rather than physical tracking infrastructure.
Solution Approach 2:
The face region detection results serve as an intermediary between the authentication camera and the passage tracking function. The detected face position in each image acts as a mediator that enables the system to track person movement by monitoring changes in this intermediate detection data over time.
Data Source
AI summary
Provided are an information processing device, an information processing system, and an estimation method, which are capable of improving the accuracy of estimating the position of an object planned to pass through a specific area. This information processing device comprises a detection unit that detects a first face image area included in a first image obtained by photographing a person, who is entering a gate, in a first direction, and a second face image area included in a second image obtained by photographing the person in a second direction different from the first direction, and an estimation unit that estimates the position of the person in the gate on the basis of a change in relative positional relationship between the first face image area and the second face image area.