Traffic Flow Analysis Device Using Adaptive Identification Methods
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Solution Overview
Problem
Existing technologies for predicting traffic flow do not provide a detailed analysis of traffic flow including persons and vehicles, and lack measures to improve the accuracy of such analysis.
Innovation Solution
A traffic flow analysis device and method that acquires images from cameras, selects an identification method suitable for the tendency of moving objects, and identifies the attributes of moving objects using the selected method, thereby improving analysis accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single identification method is used for all moving objects, then the device complexity is reduced, but the analysis accuracy deteriorates
Solution Approach 1:
The patent implements dynamic selection of identification methods based on the detected tendency of moving objects. The system automatically switches between different identification algorithms (e.g., first identification method for persons, second identification method for vehicles) according to the object type, making the system adaptable rather than static. This resolves the contradiction by allowing high accuracy through method diversity while maintaining manageable complexity through automated, rule-based selection.
Solution Approach 2:
The patent changes the parameter of identification method selection based on the tendency characteristics of moving objects. By detecting whether an object is a person or vehicle and accordingly selecting different identification parameters (algorithms), the system achieves high analysis accuracy for diverse objects without requiring manual configuration, thus balancing accuracy improvement with operational simplicity.
2Measurement precision
If multiple identification methods are stored and selected based on tendency, then the analysis accuracy is improved, but the storage requirements and processing complexity increase
Solution Approach 1:
The patent performs preliminary classification of moving objects into categories (persons, vehicles) before applying specific identification methods. By pre-defining tendency characteristics for different object types and establishing selection rules in advance, the system prepares the identification process ahead of time, reducing real-time processing complexity while maintaining high accuracy through appropriate method selection.
Solution Approach 2:
The system incorporates feedback mechanisms where the detection results inform the selection of identification methods. The tendency detection unit continuously monitors moving objects and provides feedback to the selection unit, which adjusts the identification method accordingly. This closed-loop approach enables accurate identification while managing complexity through automated adaptive control rather than exhaustive processing of all possible methods.
Data Source
AI summary
A traffic flow analysis device according to the present invention includes: a memory configured to store instructions; and one or more processors configured to execute the instructions to: acquire an image from a camera installed at a location where a moving object subject to traffic flow analysis is configured to be imaged; store a plurality of types of identification methods for identifying an attribute of the moving object captured by the camera; select an identification method suitable for a tendency of the moving object captured by the camera from the plurality of types of stored identification methods; and identify a moving object appearing in the acquired image and an attribute of the moving object using the selected identification method.