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基于Faster RCNN的穿越围栏违规行为检测
引用本文:王志鹏,王涛.基于Faster RCNN的穿越围栏违规行为检测[J].计算机系统应用,2022,31(4):346-351.
作者姓名:王志鹏  王涛
作者单位:中国石油大学(华东)计算机科学与技术学院,青岛266580
基金项目:国家自然科学基金(62072469); 国家重点科研计划(2018YFE0116700); 山东省自然科学基金(ZR2019MF049); 中央高校基础研究基金(2015020031); 西海岸人工智能技术创新中心建设专项(2019-1-5、2019-1-6); 上海可信工业控制平台开放项目(TICPSH202003015-ZC).
摘    要:安全围栏在电力施工现场扮演着重要的角色,但穿越围栏的违规行为普遍存在,给施工现场造成了极大的安全隐患.为了实现智能化监管,本文利用目标检测算法,结合帧差法的思想提出了一种基于Faster RCNN的穿越围栏违规行为检测方法.该方法通过读取视频监控信息,利用目标检测方法获取围栏的位置信息以及人体关键点的信息,通过帧差判断...

关 键 词:目标检测  帧差法  动作识别  Faster  RCNN  穿越围栏  深度学习
收稿时间:2021/6/28 0:00:00
修稿时间:2021/7/30 0:00:00

Faster RCNN-Based Detection Method for Violations of Crossing Fences
WANG Zhi-Peng,WANG Tao.Faster RCNN-Based Detection Method for Violations of Crossing Fences[J].Computer Systems& Applications,2022,31(4):346-351.
Authors:WANG Zhi-Peng  WANG Tao
Affiliation:College of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China
Abstract:Safety fences play an important role in power construction sites. However, violations of crossing the fence are widespread, causing great safety hazards to the construction sites. To intelligently supervise, this study proposes a Faster RCNN-based detection method for crossing fence that combines the object detection and the ideas of frame difference method. The proposed method first obtains the information of the fence location and human keypoints by object detection from the captured frames in the video and then recognizes the violations at the construction site with the frame difference method. The experiment results show that the method can effectively detect violations of crossing fences at construction sites and meet the real-time requirements.
Keywords:object detection  frame difference method  action recognition  Faster RCNN  fence crossing  deep learning
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