[HTML][HTML] People counting using IR-UWB radar sensors and machine learning techniques
AJN Njanda, JEZ Gbadoubissa, E Radoi… - Systems and Soft …, 2024 - Elsevier
This study aims to detect and count people using impulse radio ultra-wideband radar and
machine learning algorithms. However, the data quality, difficulty distinguishing human …
machine learning algorithms. However, the data quality, difficulty distinguishing human …
[PDF][PDF] Application of convolutional deep neural network for human detection in through the wall radar signals
D Navakauskas, J Skirelis, E Šabanovič… - DAMSS 2022: 13th …, 2022 - vb.vgtu.lt
DAMSS-2022 is the 13th International Conference on Data Analysis Methods for Software
Systems, held in Druskininkai, Lithuania. Every year at the same place and time. The …
Systems, held in Druskininkai, Lithuania. Every year at the same place and time. The …
[PDF][PDF] Systems and Soft Computing
AJN Njanda, JEZ Gbadoubissa, E Radoi, AAA Ari… - researchgate.net
This study aims to detect and count people using impulse radio ultra-wideband radar and
machine learning algorithms. However, the data quality, difficulty distinguishing human …
machine learning algorithms. However, the data quality, difficulty distinguishing human …
Deep learning approach for Counting the presence of the people in real-time using OpenCV
The people counting detection is used to detect the object by using a deep neural network.
By using this process we can get more accuracy. Before that, we used the k means …
By using this process we can get more accuracy. Before that, we used the k means …
An experiment of human presence and movement using impulse radar and machine learning
YJ Park, HS Cho - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Research and product development using machine-learning technology is ongoing
worldwide. It is especially active in the field of predicting a person's activity. In this paper, a …
worldwide. It is especially active in the field of predicting a person's activity. In this paper, a …
Convolutional neural network (cnn) model to mobile remote surveillance system for home security
R Ayad, FQ Al-Khalidi - International Journal of Computing and …, 2023 - journal.uob.edu.bh
Every citizen wants to eliminate any potential threat to themselves or their belongings. A
proper and modern surveillance system is necessary given the enormous increase in the …
proper and modern surveillance system is necessary given the enormous increase in the …
[引用][C] A Deep Learning Approach to Multi-Human Detection and Counting using IR-UWB Radar Sensors
AJN NJANDA - 2022 - University of Brest, France
Real-Time Information Technology Human Detection Using Cloud Services
N Sokolova, Y Zhuravlova, O Mushtat… - … “Intellectual Systems of …, 2022 - Springer
The current work proposes a complex solution for real-time human detection based on data
received from CCTV cameras. This approach is based on modern deep learning methods …
received from CCTV cameras. This approach is based on modern deep learning methods …
A Deep Learning Based System to Estimate Crowd and Detect Violence in Videos
YH Sharath Kumar, C Naveena - Artificial Intelligence for Societal Issues, 2023 - Springer
One of the major concerns throughout the world in all the places of large gatherings during
an event is crowd control. The event can be of any form ranging from gatherings of few …
an event is crowd control. The event can be of any form ranging from gatherings of few …
Detection of human presence using UWB radar
BB Bhagat, AAB Raj - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Impulse Ultra Wide Band (UWB) communication is a very fast emerging technology with
uniquely attractive features over narrowband and broadband signal such as extreme robust …
uniquely attractive features over narrowband and broadband signal such as extreme robust …