摘要
通过NoteExpress对近年来487篇视频监控下异常行为检测相关的论文生成关键词进行知识图谱分析,再对论文的重点应用研究领域进行梳理,旨在更好地研究基于智能视频监控系统的异常行为检测在安防领域的相关应用,从而探寻应用研究的方向。经分析,关于智能视频监控系统异常行为检测的研究成果大部分是算法理论研究,在应用研究方面不多,主要可以分为公共安全、社区安全、校园安全、家庭安全、智慧警务等领域,同时可以从异常行为定义明确规范化、异常行为检测模块化基础算法研究、实现不同安防领域应用的互联等方面继续深入研究,进一步推动安防事业发展。
In order to better study the related applications of abnormal behavior detection based on intelligent video surveillance system,the paper uses NoteExpress to generate keyword knowledge graph analysis of 487 papers related to abnormal behavior detection under video surveillance in recent years,and then sorts out the key application research fields of the papers,so as to open up future application research directions.After analysis,most of the research results on abnormal behavior detection of intelligent video surveillance systems are algorithmic theoretical research,and there are not many applied researches.They can be mainly divided into public safety,community safety,campus safety,family safety,and intelligent police applications.At the same time,we can continue to conduct in-depth research on the definition and standardization of abnormal behavior,the research on modular basic algorithms for abnormal behavior detection,and the realization of interconnection of applications in different security fields,so as to further promote the development of security industry.
作者
钟婷
彭晗
ZHONG Ting;PENG Han
出处
《智能城市》
2022年第9期11-14,共4页
Intelligent City
基金
2021年度广东省教育厅高等教育教学改革项目“实战化课程推动下的治安专业学生能力培养探索与实践(2021407)”
2020年度广东警官学院青年项目(2020QN06)。
