计算机工程与应用2024，Vol.60Issue(1)：40-56,17.DOI:10.3778/j.issn.1002-8331.2305-0154
面向计算机视觉的吸烟检测方法研究综述
Review of Smoking Detection Methods for Computer Vision
摘要
Abstract
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.关键词
计算机视觉/吸烟检测/目标检测/行为识别Key words
computer vision/smoking detection/object detection/behavior recognition分类
信息技术与安全科学引用本文复制引用
何嘉彬,李雷孝,林浩,徐国新..面向计算机视觉的吸烟检测方法研究综述[J].计算机工程与应用,2024,60(1):40-56,17.基金项目
国家自然科学基金地区项目(62362055) （62362055）
鄂尔多斯市重点研发计划项目(YF20232328) （YF20232328）
内蒙古自治区科技计划项目(2020GG0104) （2020GG0104）
内蒙古自治区科技成果转化专项资金项目(2020CG0073,2021CG0033) （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) （NJYT22084）
内蒙古自然科学基金项目(2021MS06019) （2021MS06019）
内蒙古高等学校科学研究项目(NJZY21317). （NJZY21317）
