Crosswalk Violation Detection With Angle-Corrected Pedestrian Tracking
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Solution Overview
Problem
Existing traffic monitoring systems inaccurately determine the moving direction of objects at crosswalks due to varying installation angles and misidentification of wandering pedestrians, leading to incorrect detection of uncourteous driving behaviors.
Innovation Solution
Implement a method to correct the angle of moving objects using lane lines and displacement analysis, identify a target object with precedence, and mark vehicles passing through the region as a violation if they are not courteous to the target object, incorporating image processing and recognition techniques to confirm the violation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring of traffic violations is used, then false accusations can be avoided through human judgment, but the system requires significant human resources and time for review
Solution Approach 1:
The system enables automated violation detection and notification through the image analysis server that automatically processes images, identifies violations, determines responsible parties, and sends notifications without requiring manual human intervention for each violation case
Solution Approach 2:
The patent replaces the mechanical human review process with an automated image analysis system using machine learning models that analyze images, detect violations, and determine responsible parties algorithmically, substituting human judgment with automated computational analysis
2Productivity
If automated image analysis is implemented, then processing speed and coverage are improved, but false accusations may increase due to lack of human judgment
Solution Approach 1:
The system implements feedback mechanisms where notification images are sent to both the responsible party and the client, allowing for verification and correction of automated decisions, and enabling continuous improvement of the image analysis models based on real-world outcomes
Solution Approach 2:
The image analysis server performs multiple functions including detecting violations, determining responsible parties, generating notification images, and providing verification mechanisms, creating a comprehensive automated system that handles the entire violation detection workflow
3Measurement precision
If multiple images are captured and analyzed, then detection accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system captures multiple images simultaneously or in rapid sequence during the violation event, performing the image capture action in advance before analysis is needed, allowing the analysis phase to work with pre-captured data rather than requiring sequential capture during analysis
Solution Approach 2:
The image analysis process is divided into separate processing stages where different machine learning models handle different aspects of analysis (violation detection, responsible party identification, etc.), allowing parallel processing of multiple images through segmented analytical tasks
Data Source
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AI summary
The present disclosure provides a system and method for traffic violation detection. The system may determine a target object which should be given precedence with respect to a vehicle from one or more moving objects by performing an angle correction on the one or more moving objects, wherein the one or more moving objects are objects moving in a predetermined region. When it is determined that a moving direction of the target object is a moving direction towards middle of a road and a target vehicle passing through the predetermined region is not courteous to the target object, the system may mark a state of the target vehicle as a violation state.