摘要
公共场所吸烟严重危害人们身体健康甚至生命财产安全,因此实时高效的吸烟检测具有重要意义。目前基于计算机视觉的吸烟检测以高效率、高精度等优势逐渐成为主流方法。在对非计算机视觉的吸烟检测方法进行简要概述的基础上,重点归纳总结了三类基于计算机视觉的检测方法。探讨了颜色、外观、运动等多种烟雾特征的提取方法;介绍了基于单步骤和多步骤目标检测两种方法提取烟支目标;从人工特征构建、深度学习特征提取角度论述不同类型的吸烟动作特征提取方法。对上述方法进行分析总结并展望未来研究方向。
Smoking in public places seriously harms people’s health and even life and property safety,so real-time and efficient smoking detection is of great significance.At present,smoking detection based on computer vision has gradually become the mainstream method with the advantages of high efficiency and high precision.On the basis of a brief over-view of non-computer vision smoking detection methods,three kinds of detection methods based on computer vision are summarized.Firstly,the extraction methods of smoke features such as color,appearance and movement are discussed.Secondly,two methods of extracting cigarette target based on single step and multi-step target detection are introduced.Finally,different types of smoking action feature extraction methods are discussed from the perspectives of artificial feature construction and deep learning feature extraction.The above methods are analyzed and summarized,and the future research direction is prospected.
作者
何嘉彬
李雷孝
林浩
徐国新
HE Jiabin;LI Leixiao;LIN Hao;XU Guoxin(College of Data Science and Application,Inner Mongolia University of Technology,Hohhot 010080,China;Inner Mongolia Autonomous Region Software Service Engineering Technology Research Center Based on Big Data,Hohhot 010080,China;College of Computer Science and Engineering,Tianjin University of Technology,Tianjin 300384,China)
出处
《计算机工程与应用》
CSCD
北大核心
2024年第1期40-56,共17页
Computer Engineering and Applications
基金
国家自然科学基金地区项目(62362055)
鄂尔多斯市重点研发计划项目(YF20232328)
内蒙古自治区科技计划项目(2020GG0104)
内蒙古自治区科技成果转化专项资金项目(2020CG0073,2021CG0033)
内蒙古自治区高等学校青年科技英才支持计划项目(NJYT22084)
内蒙古自然科学基金项目(2021MS06019)
内蒙古高等学校科学研究项目(NJZY21317)。
关键词
计算机视觉
吸烟检测
目标检测
行为识别
computer vision
smoking detection
object detection
behavior recognition
