Intelligent transport systems. Cooperative ITS. Dictionary of in-vehicle information (IVI) data structure

2015 ◽  
Keyword(s):  
Data Structure ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Vehicle Information

Image Texture-Based Vehicle Cast Shadow Elimination Approach

2014 ◽  
Vol 644-650 ◽  
pp. 1066-1069
Author(s):  
Dong Mei Zhou ◽  
Ming Xing Zhang ◽  
Yong Xia Dai
Keyword(s):  
Video Sequence ◽  
New Method ◽  
Image Texture ◽  
Transport Systems ◽  
Shadow Removal ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Shadow Elimination ◽  
Cast Shadow ◽  
Vehicle Information

Based on the research and analysis of video sequence of the Intelligent Transport Systems,this paper especially had a in-depth discussion about the critical step of video detection—shadow removing, analyzing the causes and characteristics of the shadow,describing the current shadow removal algorithms,and proposed a new method of image texture-based vehicle cast shadow elimination approach based on the existing algorithms.Experimental results have proved that this method can remove the vehicle shadow well and still hold very complete target vehicle information and laid the foundation for extracting vehicle target.

Multiple vehicles detection and tracking for intelligent transport systems using machine learning approaches

2019 ◽  
Vol 70 (3) ◽  
pp. 214-224
Author(s):  
Bui Ngoc Dung ◽  
Manh Dzung Lai ◽  
Tran Vu Hieu ◽  
Nguyen Binh T. H.
Keyword(s):  
Machine Learning ◽  
Gaussian Mixture ◽  
Research Field ◽  
Transport Systems ◽  
Learning Approaches ◽  
Subtraction Method ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Detection And Tracking ◽  
Multiple Vehicles

Video surveillance is emerging research field of intelligent transport systems. This paper presents some techniques which use machine learning and computer vision in vehicles detection and tracking. Firstly the machine learning approaches using Haar-like features and Ada-Boost algorithm for vehicle detection are presented. Secondly approaches to detect vehicles using the background subtraction method based on Gaussian Mixture Model and to track vehicles using optical flow and multiple Kalman filters were given. The method takes advantages of distinguish and tracking multiple vehicles individually. The experimental results demonstrate high accurately of the method.

ASSESSMENT OF THE READINESS OF THE OREL CITY AGGLOMERATION TO IMPLEMENT INTELLIGENT TRANSPORT SYSTEMS

2020 ◽  
Vol 70 (3) ◽  
pp. 64-71
Author(s):  
A.S. BODROV ◽  
◽  
M.V. KULEV ◽  
D.S. DEVYATINA ◽  
O.A. LOBYNTSEVA ◽  
...  
Keyword(s):  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport
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