Vehicle detection and classification: a review

VK Kiran, P Parida, S Dash - International Conference on …, 2020 - books.google.com
Smart traffic and information systems require the collection of traffic data from respective
sensors for regulation of traffic. In this regard, surveillance cameras have been installed in …

[PDF][PDF] Vehicular detection and classification for intelligent transportation system: A deep learning approach using faster R-CNN model

MCE Orozco, CB Rebong - Platero, 2019 - academia.edu
Intelligent Transportation System (ITS) is one of the attributes that describe smart cities. One
of its functions is detection and classification of vehicles that pass through roadways. With …

Vision-based passenger activity analysis system in public transport and bus stop areas

RKC Billones, E Sybingco, LAG Lim… - 2018 IEEE 10th …, 2018 - ieeexplore.ieee.org
This study presents the development of a vision system for passenger activity analysis in
public transport and bus stop areas. The vision system used people detection and counting …

Vehicle brands and types detection using mask R-CNN

MW Nafi'i, EM Yuniarno… - 2019 International Seminar …, 2019 - ieeexplore.ieee.org
Detection and classification of vehicles are inseparable parts of Intelligent Transportation
Systems (ITS), various kinds of information technology applications are used to be able to …

Microscopic road traffic scene analysis using computer vision and traffic flow modelling

RKC Billones, AA Bandala, LAG Lim… - Journal of Advanced …, 2018 - jstage.jst.go.jp
This paper presents the development of a vision-based system for microscopic road traffic
scene analysis and understanding using computer vision and computational intelligence …

Deep learning-based whole-arm soft tactile sensation

S Yoshigi, J Wang, S Nakayama - 2020 3rd IEEE International …, 2020 - ieeexplore.ieee.org
In this paper, we introduce the novel soft tactile sensing system at large scale, which is
developed based on vision and machine learning. The sensing platform, which was …

Vehicle-pedestrian classification with road context recognition using convolutional neural networks

RKC Billones, AA Bandala, LAG Lim… - 2018 IEEE 10th …, 2018 - ieeexplore.ieee.org
In road traffic scene analysis, it is important to observe vehicular traffic and how pedestrian
foot traffic affects the over-all traffic situation. Road context is also significant in proper …

Motorcycle rider helmet detection for riding safety and compliance using convolutional neural networks

NNF Giron, RKC Billones, AM Fillone… - 2020 IEEE 12th …, 2020 - ieeexplore.ieee.org
Traffic violation apprehension is one of the traffic problems here in the Philippines. One
example is the No Helmet No Ride Law that is implemented but many motorists still choose …

Classification between pedestrians and motorcycles using fasterRCNN inception and SSD MobileNetv2

NNF Giron, RKC Billones, AM Fillone… - 2020 IEEE 12th …, 2020 - ieeexplore.ieee.org
Philippines is on the list of the top ten fastest growing economy in the world. One of its
developments is in its traffic law enforcement. Today, the government is continuously finding …

Visual Percepts Quality Recognition Using Convolutional Neural Networks

RKC Billones, AA Bandala, LA Gan Lim… - Advances in Computer …, 2020 - Springer
In visual recognition systems, it is necessary to identify between good or bad quality images.
Visual perceptions are discrete representation of observable objects. In typical systems …