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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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| 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 |