Moving Vehicle Positioning Using Camera Pitch Error Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle tracking systems face challenges in accurate positioning of moving targets due to camera calibration difficulties, varying camera heights and angles, and neglect of error accumulation in tracking processes, which affect the precision of vehicle trajectory estimation.
Innovation Solution
A method and system that deduce the theoretical relationship between camera installation height and angle to perform error correction, using YOLOv5 for target detection, DeepSORT for tracking, and coordinate conversion to achieve high-precision positioning by correcting for errors in converting pixel-level trajectories to geodetic coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional target detection and tracking methods are used, then the system can track moving vehicles, but positioning accuracy deteriorates due to error accumulation and lack of camera parameter correction
Solution Approach 1:
The patent applies parameter changes by introducing camera installation parameters (height h and pitch angle θ) into the coordinate conversion process. The correction formulas transform pixel coordinates to geodetic coordinates using these parameters: Xs = (xs - w/2) * bs and Ys = (ys - h0/2) * bs - h, where bs = f / (h * cos(θ)). This changes the system from ignoring camera parameters to actively using them for error correction, thereby improving positioning accuracy while compensating for tracking errors.
2Adaptability or versatility
If camera calibration is performed at fixed locations, then camera parameters can be obtained, but the method becomes inapplicable to surveillance cameras on different roads with varying heights and angles
Solution Approach 1:
The patent achieves universality by creating a general coordinate conversion method that works for any surveillance camera installation location. Instead of requiring specific calibration procedures for each fixed location, the method uses universal parameters (camera height h and pitch angle θ) that can be obtained for any camera. The correction formulas are universally applicable to cameras on different roads, at different heights, and with different angles, making the system adaptable while maintaining positioning accuracy.
3Device complexity
If previous studies ignore camera installation parameters, then the tracking process is simpler, but positioning precision deteriorates due to uncorrected coordinate conversion errors
Solution Approach 1:
The patent applies preliminary action by pre-establishing the correction relationship between camera parameters and coordinate conversion errors. The formulas for calculating bs = f / (h * cos(θ)) and the subsequent coordinate transformations are prepared in advance based on camera height and pitch angle. This preliminary establishment of correction methods allows the system to maintain simplicity in the tracking process while achieving high positioning precision through pre-computed error corrections.
Data Source
AI summary
The present invention discloses a method for positioning a moving target based on a camera pitch, including: obtaining a vehicle trajectory of a moving target in a to-be-detected video and performing coordinate conversion; performing positioning correction on vehicle trajectory by using error correction method, to obtain final vehicle positioning, where a positioning correction process includes: obtaining a camera height and a camera pitch, constructing a relationship between camera height and camera pitch and a coordinate conversion error, calculating a coordinate conversion error, and calculating a target actual vehicle location based on the coordinate conversion error, to obtain vehicle positioning coordinates. In the present invention, a theoretical relationship between positioning error and camera installation height and angle is deduced based on an imaging principle and a geometrical projection relationship of an optical lens of the camera, so as to perform accurate error correction to implement high-precision positioning of a moving target.