四川轻化工大学学报（自然科学版）2025，Vol.38Issue(2)：54-62,9.DOI:10.11863/j.suse.2025.02.07
复杂环境下运动目标检测研究进展
Advances in Moving Object Detection Under Complex Environments
摘要
Abstract
With the advent of the information age and the rapid growth of smart electronics industry,motion target detection in complex environments has been widely utilized.Detection effectiveness and computational workload of motion target detection methods are keys to the issue.This review delves into the advancements in the field of motion target detection methodologies,including background subtraction,optical flow,frame differencing,and deep learning approaches,as well as their improvement techniques.The principles,merits,and limitations of each methodology are extracted and compared,with a synthesis of the research trajectory for various algorithms.Furthermore,prospective trends in future investigations are anticipated,providing a forward-looking perspective on the domain.The review and outlook of the motion target detection methods aim to provide some reference for the subsequent research.关键词
运动目标检测/复杂环境/背景差分法/光流法/帧差法/深度学习Key words
motion target detection/complex environment/background subtraction method/optical flow method/frame difference method/deep learning分类
通用工业技术引用本文复制引用
张颜月,代显智..复杂环境下运动目标检测研究进展[J].四川轻化工大学学报（自然科学版）,2025,38(2):54-62,9.基金项目
教育部"春晖计划"合作科研项目(2018自编22) （2018自编22）
四川省教育厅科研基金项目(18ZA0467) （18ZA0467）
