People Flow Analysis Apparatus Using Distance-Based Density Mapping
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Solution Overview
Problem
Existing people flow analysis systems using multiple cameras struggle to accurately count the number of individuals and compare crowd densities across different camera installations, as they are limited to specific areas and lack a unified view of wider spaces.
Innovation Solution
A people flow analysis apparatus that integrates position data from multiple images captured by various cameras, transforms these positions into a common coordinate system, and counts individuals on a region-by-region basis, allowing for accurate density comparison and visualization on a map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple cameras are used to capture images of a wide area, then the coverage area increases, but the ability to accurately count and compare person densities across different camera installations deteriorates due to differing installation states and capture areas
Solution Approach 1:
The patent transforms person positions from two-dimensional image coordinates to a one-dimensional distance metric (distance from camera). This dimensional transformation enables accurate comparison of person densities across cameras with different installation states and capture areas, resolving the contradiction between wide coverage and measurement precision.
2Area of stationary object
If one camera captures a relatively wide area, then the coverage increases, but the person density measurement accuracy deteriorates when compared with cameras capturing narrow areas
Solution Approach 1:
The patent changes the measurement parameter from area-based density (persons per square pixel) to distance-based density (persons per unit distance from camera). This parameter transformation allows fair comparison of person densities between cameras capturing different area sizes, eliminating the bias introduced by varying capture areas.
3Ease of operation
If simple person counting is performed on each camera image independently, then the counting process is simple, but the ability to view overall crowd distribution and compare densities across the wide area deteriorates
Solution Approach 1:
The patent merges person position information from multiple camera images by transforming all positions to a common reference frame (distance from camera). This combination preserves overall crowd distribution information while maintaining the simplicity of automated processing, enabling both easy operation and comprehensive crowd analysis.
Data Source
AI summary
A people flow analysis apparatus includes an acquisition unit configured to acquire positions of persons from each of a plurality of images captured by a plurality of image capturing devices, a counting unit configured to integrate the positions of the persons in each of the plurality of images and count the number of persons on a region-by-region basis, and a display unit configured to display on a map an image expression based on the number of persons counted on the region-by-region basis.