Crowd Icon Placement Using Regional Density Arrays
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Solution Overview
Problem
Existing methods struggle to accurately place icons representing individuals on images of crowded areas, leading to unnatural representations that do not align with the actual congestion status.
Innovation Solution
A method that involves dividing a target region into multiple areas, detecting the proportion of individuals in each area, transforming this data into an array, and determining the placement of individuals based on this array to create a natural representation of congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a placement method for placing icons representing people on background images is not established, then privacy protection is achieved, but the naturalness and accuracy of crowd status representation deteriorates
Solution Approach 1:
The target region is divided into multiple division regions, and the proportion of people is detected for each division region separately. This segmentation allows for more accurate local crowd status representation while maintaining overall privacy protection through icon placement.
Solution Approach 2:
The proportion of people in each division region is transformed into array information, changing the parameter representation from continuous proportion data to discrete array indices. This enables deterministic placement of icons that accurately reflects local crowd density while maintaining privacy.
2Reliability
If icons are placed without knowing the placement method, then privacy is protected, but the naturalness of the crowd image deteriorates
Solution Approach 1:
Instead of displaying actual person images, the system creates copy representations in the form of icons placed on background images. The placement positions are determined by transforming proportion data into array indices, ensuring the copy accurately represents the original crowd distribution without revealing personal information.
Solution Approach 2:
Array information serves as an intermediary between the detected proportion data and the final icon placement. This intermediary structure preserves the essential spatial distribution information needed for natural crowd representation while preventing direct access to sensitive placement details.
Data Source
AI summary
A placement apparatus according to the present invention includes: a detecting unit configured to detect a proportion of an existing person for each of division regions obtained by dividing a target region into a plurality of regions; a transforming unit configured to transform information representing the proportion of the person of each of the division regions into an array; and a determining unit configured to determine placement of the individual person in the division region based on the array.


