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  4. A Vanishing-Point-Based Camera Calibration Method with Application for Constructing Vehicular Geometric Features from Two Cameras
 
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A Vanishing-Point-Based Camera Calibration Method with Application for Constructing Vehicular Geometric Features from Two Cameras

Date Issued
2013
Date
2013
Author(s)
Chang, Kai-Hsiang
URI
http://ntur.lib.ntu.edu.tw//handle/246246/262898
Abstract
A calibrated camera is required for computing the speeds and length-based classifications of tracked vehicles in vision-based automatic traffic-monitoring systems. Numerous vanishing-point-based (VPB) calibration methods are presented, such as On-Line, VWL, VVL, and VVW. However the previous methods all have their restrictions in some situations. This thesis proposes a VPB method including tuning function to overcome restrictions of previous methods. Camera calibration of multiple cameras is a critical step for conducting 3-D measurement effectively from visual images. Then the relative world coordinate system of each camera is established. Based on the relative world coordinate system and calibration of each camera, the visual information of image from different cameras can be used simultaneously. This thesis proposes a method to estimate the position of the vehicle which is taken by two different cameras, and verify the result. 1) A Vanishing-Point-Based Camera Calibration Method The proposed calibration method includes mainly three steps. In the first step, identify the coordinates of the feature points. Then estimate coordinates of the vanishing point the feature points. Finally, optimize the camera calibration parameters by using tuning function. Therefore the optimal camera calibration parameters are estimated. 2) Constructing Vehicular Geometric Features (VGF) from Two Cameras The proposed method includes mainly three steps. In the first step, construct VGF of the vehicle by image processing statistic method using image information from camera 2. In the second step, construct the position of the vehicle by calibration parameters and image processing from camera 1. Finally, verify the results of VGF by the relation of camera 1 and camera 2 and their calibration parameters. Therefore the VGF is constructed and the results are capable to analyze rational or not.
Subjects
相機校正
單眼相機
多個相機
基於視覺感測
3D量測
交通監控
消失點
車輛偵測
Type
thesis
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