TomFi: Small Object Tracking Using Commodity WiFi
Article No.: 80, Pages 1 - 15
Abstract
Rodent infestation has always been one of the most severe threats to humans, which to solve consumes massive manpower and resources. People usually use traps or poisons to treat rat infestation. Such passive countermeasures are inefficient. Damage often occurs when the rats are finally trapped or killed, not to mention the potential risk to injure humans or cause pollution. In this article, we propose a WiFi-based active small object tracking system named TomFi. The core components of TomFi include several deep learning techniques that bridge rat locations/motions and WiFi signal variations (represented by the channel state information). TomFi first employs a detection model to detect the appearance of the rat and then localize it based on a two-branch localization model. Through the design of the two-branch localization model, to our best knowledge, we are the first to solve the information loss and distortion problem. We conducted extensive experiments in both the laboratory environment and real-world kitchen scenarios. The results show that TomFi can achieve a detection success rate of 99%+ and a centimeter-level localization accuracy in real time.
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- TomFi: Small Object Tracking Using Commodity WiFi
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Association for Computing Machinery
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Publication History
Published: 11 May 2024
Online AM: 23 March 2023
Accepted: 09 March 2023
Revised: 13 January 2023
Received: 03 November 2022
Published in TOSN Volume 20, Issue 4
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- Research-article
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- National Key R&D Program of China
- National Natural Science Foundation of China
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