Dynamic People Counting from Delay-Doppler Images in Challenging Scenarios: Enhancing Model Performance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU151167" target="_blank" >RIV/00216305:26220/24:PU151167 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10524098" target="_blank" >https://ieeexplore.ieee.org/document/10524098</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA61599.2024.10524098" target="_blank" >10.1109/RADIOELEKTRONIKA61599.2024.10524098</a>
Alternative languages
Result language
angličtina
Original language name
Dynamic People Counting from Delay-Doppler Images in Challenging Scenarios: Enhancing Model Performance
Original language description
This study presents a novel radar-based people counting (PCnt) methodology empowered by deep learning (DL) frameworks. The challenges we face include overfitting due to the model’s tendency to extract highly domain-specific features. These challenges arise from limited data and clutter in indoor settings. To tackle this, our radar system operates in both lab and industrial environments. We propose a 2D-CNN approach and explore ways to handle these challenges, focusing on im proving accuracy through preprocessing techniques. Additionally, we introduced data augmentation strategies to enhance model robustness and mitigate overfitting. Our experiments show our approach accurately counts people moving along the radar line in various environments. However, detecting stationary individuals and distinguishing between moving human and non-human entities remain challenging areas for future work.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20203 - Telecommunications
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
RADIOELEKTRONIKA 2024: 2024 34th International Conference Radioelektronika
ISBN
979-8-3503-6215-2
ISSN
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e-ISSN
—
Number of pages
6
Pages from-to
„“-„“
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
neuveden
Event location
Žilina, Slovakia
Event date
Apr 17, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001229165000040