A review of vision-based traffic semantic understanding in ITSs

J Chen, Q Wang, HH Cheng, W Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …

Vehicle counting using computer vision: A survey

DEV Tituana, SG Yoo… - 2022 IEEE 7th International …, 2022 - ieeexplore.ieee.org
The growth of vehicles on the roads of urban areas generates an increase in traffic density
and congestion. In this situation, most cities in modern countries are starting to implement …

[HTML][HTML] Dense vehicle counting estimation via a synergism attention network

Y Jin, J Wu, W Wang, Y Wang, X Yang, J Zheng - Electronics, 2022 - mdpi.com
Along with rising traffic jams, accurate counting of vehicles in surveillance images is
becoming increasingly difficult. Current counting methods based on density maps have …

[PDF][PDF] Deep Neural Network-based Approach for Accurate Vehicle Counting.

MS Sawah, SA Taie, MH Ibrahim… - International Journal of …, 2023 - researchgate.net
In highway management, intelligent vehicle detection and counting are becoming
increasingly important as an accurate estimation of traffic density on road congestion …

The density-aware estimation network for vehicle counting in traffic surveillance system

S Sooksatra, A Yoshitaka, T Kondo… - … Conference on Signal …, 2019 - ieeexplore.ieee.org
In a surveillance system, the performance of vehicle counting is typically sensitive to the
different patterns of traffic density. To address this issue, we proposed the estimation …

Nuclei detection in cytological images using convolutional neural network and ellipse fitting algorithm

M Kowal, M Żejmo, J Korbicz - … , ICAISC 2018, Zakopane, Poland, June 3-7 …, 2018 - Springer
Morphometric analysis of nuclei play an essential role in cytological diagnostics. Cytological
samples contain hundreds or thousands of nuclei that need to be examined for cancer. The …

[HTML][HTML] Redesigned skip-network for crowd counting with dilated convolution and backward connection

S Sooksatra, T Kondo, P Bunnun, A Yoshitaka - Journal of Imaging, 2020 - mdpi.com
Crowd counting is a challenging task dealing with the variation of an object scale and a
crowd density. Existing works have emphasized on skip connections by integrating …

[PDF][PDF] 交通監視システムのための密度を意識した注意ネットワークを用いた車両密度推定

S SOOKSATRA - 2021 - dspace.jaist.ac.jp
JAIST Repository Page 1 Japan Advanced Institute of Science and Technology JAIST
Repository https://dspace.jaist.ac.jp/ Title 交通監視システムのための密度を意識した注意ネット …