Work

Poster: Fusing radio tomography and RGB camera data for enhanced multi-person detection and tracking

Year: 2024

Type: conference-paper

Abstract: This paper presents a system that fuses radio tomography data with RGB camera information for enhanced multi-person detection and tracking in indoor environments. Experiments were conducted in an irregularly shaped room with four subjects. Due to its limited resolution, radio tomography initially represented all individuals as a single entity. By incorporating RGB camera data, we were able to accurately identify and track each person individually. Our findings underscore the significance of integrating data from both modalities for improved detection and tracking performance in indoor surveillance and security systems.

Source: ACM Conference on Embedded Networked Sensor Systems (SenSys)

DOI: 10.1145/3666025.3699423

Authors: Michał Maj, Tomasz Rymarczyk, Łukasz Maciura, Dariusz Wójcik, Tomasz Cieplak, Damian Pliszczuk

Institutions: University of Economics and Innovation, Lublin University of Technology

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4404034535

FWCI: 0.229

Cites: 3

Cited by: 1

Related to: 10