Toward Accurate Crowd Counting in Large Surveillance Areas Based on Passive WiFi Sensing-Reference-Cited by-同舟云学术

Toward Accurate Crowd Counting in Large Surveillance Areas Based on Passive WiFi Sensing

Published:2023-12 Issue:12 Volume:24 Page:14086-14096
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Hao Lifei¹^ORCID,Huang Baoqi¹^ORCID,Jia Bing¹^ORCID,Xu Gang¹,Mao Guoqiang²^ORCID

Affiliation:

1. Engineering Research Center of Ecological Big Data, Ministry of Education, the Inner Mongolia A. R. Key Laboratory of Wireless Networking and Mobile Computing, and the College of Computer Science, Inner Mongolia University, Hohhot, China

2. Research Institute of Smart Transportation, Xidian University, Xi’an, China

Funder

National Natural Science Foundation of China

Major Program of Natural Science Foundation of Inner Mongolia A. R. of China

Science and Technology Plan Project of Inner Mongolia A. R. of China

University Youth Science and Technology Talent Development Project (Innovation Group Development Plan) of Inner Mongolia A. R. of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10339106/10225447.pdf?arnumber=10225447

Reference46 articles.

1. DeepCount: Crowd Counting with Wi-Fi using Deep Learning

2. Nuzzer: A Large-Scale Device-Free Passive Localization System for Wireless Environments

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4. A study on passive crowd density estimation using wireless sensors;nakatsuka;Proc Int Conf Mobile Comput Ubiquitous Netw,2008

5. A pedestrian flow analysis system using Wi-Fi packet sensors to a real environment

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