Learning Longterm Representations for Person Re-Identification Using Radio Signals

Learning Longterm Representations for Person Re-Identification Using Radio Signals

Person Re-Identification (ReID) aims to recognize a person-of-interest across different places and times. Existing ReID methods rely on images or videos collected using RGB cameras. They extract appearance features like clothes, shoes, hair, etc. Such features, however, can change drastically from o...

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Bibliographic Details
Main Authors: Fan, Lijie (Author), Li, Tianhong (Author), Fang, Rongyao (Author), Hristov, Rumen H. (Author), Yuan, Yuan (Author), Katabi, Dina (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2021-04-06T16:18:00Z.
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