东南大学学报（自然科学版）2017，Vol.47Issue(4)：685-690,6.DOI:10.3969/j.issn.1001-0505.2017.04.010
基于对称帧差和分块背景建模的无人机视频车辆自动检测
Automatic vehicle detection from UAV videosbased on symmetrical frame difference and background block modeling
摘要
Abstract
In order to recognize traffic flow information correctly and comprehensively from a regional perspective, aiming at UAV (unmanned aerial vehicle) videos, an automatic vehicle detection method is proposed based on symmetrical frame difference and background block modeling.First, 4×4 dimension reduction and grayscale processing were conducted on UAV video frames, and a ROI (region of interest) was marked manually, for the purpose of reducing the image scale and specifying the detection region.Secondly, moving objects in ROI were extracted by symmetrical frame difference, and thus the background image was obtained through background block modeling.Then, vehicles were preliminarily extracted using background subtraction.Finally, noises were eliminated using techniques such as morphological processing, and vehicle recognition results were obtained.Four evaluation indices, i.e., correct detection rate, repeated detection rate, missed detection rate and false detection rate, were put forward aiming at vehicle detection algorithms.Algorithm tests were conducted on 150 frames of an UAV video.Test results show that the proposed algorithm achieves high correct detection rate (averaging 92.29%), low missed detection rate (averaging 7.31%) and false detection rate (averaging 0.39%), while the repeated detection rate is 0.关键词
智能交通/车辆检测/对称帧间差分/背景建模/无人机/感兴趣区域Key words
intelligent transportation/vehicle detection/symmetrical frame difference/background modeling/unmanned aerial vehicle/region of interest分类
交通工程引用本文复制引用
彭博,蔡晓禹,张有节,李少博..基于对称帧差和分块背景建模的无人机视频车辆自动检测[J].东南大学学报（自然科学版）,2017,47(4):685-690,6.基金项目
重庆市社会事业与民生保障科技创新专项资助项目(cstc2015shms-ztzx30002,cstc2015shms-ztzx0127)、重庆市教委科学研究资助项目(KJ1600513)、重庆交通大学科研启动资助项目(15JDKJC-A002)、重庆市科委基础科学与前沿技术研究资助项目(cstc2017jcyjAX0473). （cstc2015shms-ztzx30002,cstc2015shms-ztzx0127）
