Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds

Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds

Tracking in dense indoor environments where several thousands of people move around is an extremely challenging problem. In this paper, we present a system — DenseTrack for tracking people in such environments. DenseTrack leverages data from the sensing modalities that are already present in these e...

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Bibliographic Details
Main Authors: TRUONG, Quang Hai, JAISINGHANI, Dheryta, JAIN, Shubham, SINHA, Arunesh, KO, Jeong Gil, BALAN, Rajesh Krishna
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Dense environments
Indoor tracking
Mobile sensing
Wireless
Graphics and Human Computer Interfaces
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/8479
https://ink.library.smu.edu.sg/context/sis_research/article/9482/viewcontent/TrackingPeople_av.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/8479
https://ink.library.smu.edu.sg/context/sis_research/article/9482/viewcontent/TrackingPeople_av.pdf

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