基于视频监控的自动扶梯乘客异常行为识别

Q4 Engineering

华南理工大学学报(自然科学版) Pub Date : 2020-08-25 DOI:10.12141/J.ISSN.1000-565X.200010

Du Qiliang, Hua Li-guang, Tian Lian-fang, Huang Di-Zhen, Jin Shou-Jie, Li Miao

引用次数: 4

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Recognition of Passengers' Abnormal Behavior on the Escalator based on Video monitoring

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来源期刊

华南理工大学学报(自然科学版) Engineering-Engineering (all)

CiteScore

1.00

自引率

0.00%

发文量

9337

期刊介绍： Journal of South China University of Technology (Natural Science Edition) is a comprehensive scientific journal under the supervision of the Ministry of Education and sponsored by South China University of Technology. It was founded in 1957 and was originally named Journal of South China Institute of Technology. It was published in quarterly form before 1993 and monthly form since 1995. The purpose of this journal is to be guided by the socialist ideology with Chinese characteristics in the new era, adhere to the basic line and basic policies of the Party, adhere to the four basic principles, and adhere to the scientific development concept; abide by the national policies, laws and regulations on science and technology and publishing, and conscientiously implement the "Regulations on Periodical Publishing Management" and "Regulations on the Management of Journals of Institutions of Higher Education"; adhere to the principle of "letting a hundred flowers bloom and a hundred schools of thought contend", serve the prosperity of academia, promote academic exchanges at home and abroad, and serve the "revitalization of the country through science and education" and the construction of socialist spiritual civilization.