Presentation + Paper
15 November 2024 Multitarget detection and tracking with continuous capture microwave imaging
Nisar R. Ahmed, Fabio da Silva
Author Affiliations +
Abstract
Continuous capture microwave image detection and ranging (m-Widar) is an emerging sensing concept which combines sparse image reconstruction with an inverse light transport model. This enables a ‘single pixel microwave camera’ to densely image a surrounding environment in milliseconds via reflected microwaves, while requiring minimal hardware and set up. As such, m-Widar has many potential novel applications, including sensing through walls, vehicle detection, and standoff vital-sign monitoring. This work describes m-Widar sensing fundamentals and the challenges involved for practical multi-object detection and tracking. We present a Bayesian Hidden Markov Model (HMM) tracking approach to address these issues, along with proof-of-concept simulation assessments and directions for ongoing work.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Nisar R. Ahmed and Fabio da Silva "Multitarget detection and tracking with continuous capture microwave imaging", Proc. SPIE 13204, Emerging Imaging and Sensing Technologies for Security and Defence IX, 132040A (15 November 2024); https://doi.org/10.1117/12.3031542
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KEYWORDS
Target detection

Tunable filters

Reflection

Electronic filtering

Transmitters

Data modeling

Detection and tracking algorithms

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