Building Occupancy Detection and Localization Using CCTV Camera and Deep Learning
Author:
Affiliation:
1. School of Computer Science and Information Engineering, Hubei University, Wuhan, China
2. School of Mechanical and Materials Engineering and UCD Energy Institute, University College Dublin, Dublin 4, Ireland
Funder
Natural Science Foundation of China
Science Foundation Ireland
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/9997152/09868085.pdf?arnumber=9868085
Reference40 articles.
1. Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging Applications
2. People Detection and Finding Attractive Areas by the use of Movement Detection Analysis and Deep Learning Approach
3. Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges
4. Exploring Deep Learning Models for Overhead View Multiple Object Detection
5. A Comparative Analysis of Deep Learning and Machine Learning on Detecting Movement Directions Using PIR Sensors
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. WiSOM: WiFi-enabled self-adaptive system for monitoring the occupancy in smart buildings;Energy;2024-01
2. Occupancy Prediction in Multi-Occupant IoT Environments Leveraging Federated Learning;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14
3. A Cost-Effective System for Indoor Three-Dimensional Occupant Positioning and Trajectory Reconstruction;Buildings;2023-11-11
4. Occupancy Prediction in Buildings: State of the Art and Future Directions;Internet of Things;2023-08-10
5. Improving Indoor Occupancy Detection Accuracy of the SLEEPIR Sensor Using LSTM Models;IEEE Sensors Journal;2023-08-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3