Vehicle Violation Detection via Image Coordinate Mapping
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Solution Overview
Problem
Current vehicle violation detection technologies face challenges in effectively monitoring and determining violations such as illegal parking, speeding, and wrong-way driving without relying on speed measurement sensors, which limits their accuracy and efficiency.
Innovation Solution
A vehicle violation detection method and system that acquires multiple frames of images to detect and track vehicles, determines vehicle speed based on image coordinates and physical size, and performs violation determination by analyzing speed information, location, and time thresholds, without the need for speed sensors, using a processor and memory-based computer program to implement the detection and tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If speed measurement sensors are used for vehicle violation detection, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces mechanical speed measurement sensors with an optical-based image processing system. By capturing multiple images at different time points and calculating vehicle displacement and speed through coordinate transformation and image analysis, the system eliminates the need for physical sensors while achieving accurate speed measurement for violation detection.
Solution Approach 2:
The patent introduces image coordinates and spatial coordinate systems as intermediaries to bridge visual information and physical measurement. Through establishing correspondence relationships between image coordinates and real-world spatial coordinates, the system enables indirect but precise speed measurement without direct physical contact or specialized sensors.
2Measurement precision
If multiple image frames are processed for vehicle tracking, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent performs preliminary actions by pre-establishing the correspondence relationship between image coordinates and spatial coordinates, and by continuously capturing and storing image frames. This preparation work is done in advance so that when vehicle tracking is needed, the system can quickly retrieve and process the necessary image data without time-consuming setup or calibration.
Solution Approach 2:
The patent maintains continuous image capture and vehicle tracking across multiple frames, ensuring that the useful action of monitoring is ongoing without interruption. By processing images in a continuous sequence and maintaining tracking state information, the system achieves both high measurement precision through multiple frames and efficient processing by avoiding repeated initialization.
Data Source
AI summary
A vehicle violation detection method, apparatus and system, and a storage medium. The vehicle violation detection method comprises: acquiring a plurality of frames of images, performing vehicle detection and tracking according to the plurality of frames of images, and generating vehicle information of a detected vehicle, the vehicle information comprising a vehicle detection box and vehicle model information, and the vehicle model information corresponding to the physical size of the vehicle; according to the size of the vehicle detection box of the vehicle and the physical size of the vehicle that corresponds to the vehicle model information of the vehicle, determining a correspondence between image coordinates in the images and absolute space coordinates, and according to the correspondence, determining speed information of the vehicle; and making a violation determination of the vehicle according to the speed information of the vehicle.