A Comprehensive Review of Vehicle Detection Techniques Under Varying Moving Cast Shadow Conditions Using Computer Vision and Deep Learning
Design of a vision-based traffic analytic system for urban traffic video scenes has a great
potential in context of Intelligent Transportation System (ITS). It offers useful traffic-related …
potential in context of Intelligent Transportation System (ITS). It offers useful traffic-related …
Video processing techniques for traffic flow monitoring: A survey
Video-based traffic flow monitoring is a fast emerging field based on the continuous
development of computer vision. A survey of the state-of-the-art video processing techniques …
development of computer vision. A survey of the state-of-the-art video processing techniques …
Automated multimodal background detection and shadow removal process using robust principal fuzzy gradient partial equation methods in intelligent transportation …
PM Shakeel, N Arunkumar… - International Journal of …, 2018 - inderscienceonline.com
The continuous developments of the computer technologies in the intelligent transportation
systems (ITS) place an important role in the various applications such as vehicle detection …
systems (ITS) place an important role in the various applications such as vehicle detection …
Hyperspectral image shadow compensation via cycle-consistent adversarial networks
Illumination variance and shadows are challenging problems in remote sensing and
hyperspectral imaging applications. Shadow compensation can effectively enhance the …
hyperspectral imaging applications. Shadow compensation can effectively enhance the …
Hyperspectral shadow removal via nonlinear unmixing
Removing shadows that are often present in remotely sensed hyperspectral images is
important for both enhancing the interpretability of the data and further target analysis …
important for both enhancing the interpretability of the data and further target analysis …
[PDF][PDF] Shadow Detection using Color and Edge Information.
UNIVERSITI PUTRA MALAYSIA MARYAM GOLCHIN FSKTM 2013 4 SHADOW DETECTION
USING COLOUR AND EDGE INFORMATION Page 1 UNIVERSITI PUTRA MALAYSIA MARYAM …
USING COLOUR AND EDGE INFORMATION Page 1 UNIVERSITI PUTRA MALAYSIA MARYAM …
IoT and ML based approach for highway monitoring and streetlamp controlling
M Rahman, MFI Suny, J Tasnim, MS Zulfiker… - … Conference on Machine …, 2022 - Springer
Excessive speed and violating traffic rules may cause dangerous road accident. Some
reports show that around 3700 people die every day due to road accident. Controlling …
reports show that around 3700 people die every day due to road accident. Controlling …
[PDF][PDF] Illumination correction in a comparative analysis of feature selection for rear-view vehicle detection
S Baghdadi, N Aboutabit - International Journal of Machine Learning and …, 2019 - ijmlc.org
One of the most frequent infractions on the road is the act of a vehicle crossing to the wrong
side of the road to pass another vehicle traveling in the same direction. Automatic detection …
side of the road to pass another vehicle traveling in the same direction. Automatic detection …
An improvement of vehicle detection under shadow regions in satellite imagery
The processing of satellite imagery is dependent upon the quality of imagery. Due to low
resolution, it is difficult to extract accurate information according to the requirements of …
resolution, it is difficult to extract accurate information according to the requirements of …
[HTML][HTML] Real-time road traffic awareness model based on optimal multi-channel self-organized time division multiple access algorithm
Q Hu, L Xu - Computers & Electrical Engineering, 2017 - Elsevier
Real-time road traffic awareness is a challenge in an intelligent transportation system or
internet of vehicles. In this paper, we provide a real-time road traffic awareness model for …
internet of vehicles. In this paper, we provide a real-time road traffic awareness model for …