[PDF][PDF] Traffic surveillance: A review of vision based vehicle detection, recognition and tracking
K Abdulrahim, RA Salam - Int. J. Appl. Eng. Res, 2016 - researchgate.net
Video-based analysis of traffic surveillance is an active area of research, which has a wide
variety of applications in intelligent transport systems (ITSs). In particular, urban …
variety of applications in intelligent transport systems (ITSs). In particular, urban …
A super-learner ensemble of deep networks for vehicle-type classification
Automatic vehicle-type classification plays an imperative role in the development of efficient
Intelligent Transportation Systems (ITS). In this paper, a super-learner ensemble is proposed …
Intelligent Transportation Systems (ITS). In this paper, a super-learner ensemble is proposed …
Robust Real‐Time Traffic Surveillance with Deep Learning
J Fernández, JM Cañas, V Fernández… - Computational …, 2021 - Wiley Online Library
Real‐time vehicle monitoring in highways, roads, and streets may provide useful data both
for infrastructure planning and for traffic management in general. Even though it is a classic …
for infrastructure planning and for traffic management in general. Even though it is a classic …
Method and system for vehicle classification
(57) ABSTRACT A method and system of vehicle classification, and more particularly to a
method and system called hierarchical vehicle classification system using a video and/or …
method and system called hierarchical vehicle classification system using a video and/or …
EDeN: Ensemble of deep networks for vehicle classification
R Theagarajan, F Pala… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Traffic surveillance has always been a challenging task to automate. The main difficulties
arise from the high variation of the vehicles appertaining to the same category, low …
arise from the high variation of the vehicles appertaining to the same category, low …
Hybrid three-dimensional and support vector machine approach for automatic vehicle tracking and classification using a single camera
Using video in traffic monitoring is one of the most active research domains in the computer
vision community. TrafficMonitor, a system that employs a hybrid approach for automatic …
vision community. TrafficMonitor, a system that employs a hybrid approach for automatic …
A probabilistic approach to improve the accuracy of axle-based automatic vehicle classifiers
This paper details a simple and novel approach to solve the assignment problem of finding
optimum thresholds for axle-based vehicle classifiers. A case study utilizing Oklahoma's axle …
optimum thresholds for axle-based vehicle classifiers. A case study utilizing Oklahoma's axle …
Vehicle subtype, make and model classification from side profile video
J Boyle, J Ferryman - … on Advanced Video and Signal Based …, 2015 - ieeexplore.ieee.org
This paper addresses the challenging domain of vehicle classification from pole-mounted
roadway cameras, specifically from side-profile views. A new public vehicle dataset is made …
roadway cameras, specifically from side-profile views. A new public vehicle dataset is made …
Physical features and deep learning-based appearance features for vehicle classification from rear view videos
R Theagarajan, NS Thakoor… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Currently, there are many approaches for vehicle classification, but there is no specific study
on automated, rear view, and video-based robust vehicle classification. The rear view is …
on automated, rear view, and video-based robust vehicle classification. The rear view is …
Starlet: multi-document summarization of service and product reviews with balanced rating distributions
G Di Fabbrizio, A Aker… - 2011 IEEE 11th …, 2011 - ieeexplore.ieee.org
Reviews about products and services are abundantly available online. However, selecting
information relevant to a potential buyer involves a significant amount of time reading user's …
information relevant to a potential buyer involves a significant amount of time reading user's …