摘要
动态目标检测与追踪就是实现视频中处于运动状态的物体区域的实时监测,在计算机技术飞速发展的今天,动态目标检测在计算机视觉、图像处理、视频监控、人机交互以及模式识别等领域有着重要的研究意义和实用价值。人们通过该技术提高了生活工作的效率,因此可以说动态目标检测技术在许多领域发挥着至关重要的作用。本文通过对视频图像中行驶的汽车进行了背景差分算法,从图像预处理、构建视频图像的背景模型到图像差分运算及阈值化,实现了视频中动态汽车目标的检测。
Dynamic target detection and tracking is to realize the real-time monitoring of the moving object area in the video.With the rapid development of computer technology,dynamic target detection has importan tresearch significance and practical value in the fields of computer vision,image processing,video surveillance,human-computer interaction and pattern recognition.People improve the efficiency of life and work through this technology,so it can be said that dynamic target detection technology plays a vital role in many fields.In this paper,the driving car in the video imageis processed by background difference algorithm,and from the respects of image preprocessing,building the background model of the video image to the image difference operation and thresholding,the dynamic car target detection in the video is realized.
作者
贾晓琪
闫俊伢
杨丽英
Jia Xiaoqi;Yan Junya;Yang Liying(Shanxi Vocational University of Engineering Science and Technology, Jinzhong Shanxi 030619, China)
出处
《山西电子技术》
2021年第5期47-49,共3页
Shanxi Electronic Technology
基金
山西省高等学校教学改革创新项目(J2020440)
教育部产学合作协同育人项目(201902167003、2019021084012)
2021年山西省高等学校大学生创新创业训练项目(S2021135331320)。
关键词
背景差分法
动态目标检测
图像预处理
阈值化
background difference method
dynamic target detection
image preprocessing
thresholding
