Open AccessResearch on distance measurement method of moving objects in video
Author(s) -
Wei Zhou,
Youfeng Zhang,
Yunhong Zheng,
Pingfan Li,
Min Xu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/5/052112
Subject(s) - computer vision , artificial intelligence , computer science , preprocessor , process (computing) , calibration , segmentation , reprojection error , monocular , object (grammar) , frame (networking) , camera resectioning , monocular vision , image (mathematics) , mathematics , telecommunications , statistics , operating system
We propose a smart car loading camera to simulate the vehicle driving process, the purpose of which is using monocular vision to solve the collision problem that may occur when passengers open the door after the vehicle stops. First of all, Youzheng Zhang’s calibration method is used to obtain the internal and external parameters of the camera, and then the inter-frame difference method is used to lock the moving target in the video. After preprocessing the image, an iterative method is proposed to automatically obtain the threshold to complete the target object segmentation. Combined with the calibration parameters, the distance of the target object is calculated based on the proportion of similar triangles. The test results of videos taken in multiple different scenes show that the average measurement error of the algorithm is 44mm.