A review of computer vision techniques for the analysis of urban traffic

N Buch, SA Velastin, J Orwell - IEEE Transactions on intelligent …, 2011 - ieeexplore.ieee.org
Automatic video analysis from urban surveillance cameras is a fast-emerging field based on
computer vision techniques. We present here a comprehensive review of the state-of-the-art …

Vehicle detection and tracking in car video based on motion model

A Jazayeri, H Cai, JY Zheng… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper aims at real-time in-car video analysis to detect and track vehicles ahead for
safety, autodriving, and target tracing. This paper describes a comprehensive approach to …

Structural signatures for passenger vehicle classification in video

NS Thakoor, B Bhanu - IEEE Transactions on Intelligent …, 2013 - ieeexplore.ieee.org
This paper focuses on a challenging pattern recognition problem of significant industrial
impact, ie, classifying vehicles from their rear videos as observed by a camera mounted on …

Theme Classification and Analysis of Core Articles Published in IEEE Transactions on Intelligent Transportation Systems From 2010 to 2013

S Tang, Z Li, D Chen, Z Chen, W Liu… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
In this paper, we are trying to find the developmental tendencies and study hotspots of
intelligent transportation systems technologies by theme classification and analysis of core …

Raindrop-tampered scene detection and traffic flow estimation for nighttime traffic surveillance

CC Yu, HY Cheng, YF Jian - IEEE transactions on intelligent …, 2014 - ieeexplore.ieee.org
In this paper, we propose an intelligent highway surveillance system that performs self-
diagnosis and detects conditions when the camera is seriously tampered by raindrops at …

Evolving bayesian graph for three-dimensional vehicle model building from video

N Ghosh, B Bhanu - IEEE Transactions on Intelligent …, 2013 - ieeexplore.ieee.org
Traffic videos often capture slowly changing views of moving vehicles. These different and
incrementally related views provide visual cues for 3-D perception of the vehicles from 2-D …

Component-model based detection and recognition of road vehicles

M Wang, L Jiang, W Lu, A Fang - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Feature extraction and recognition of a vehicle is always a popular research spot in the
intelligent transportation system (ITS) area. Based on this technology, many applications …

[PDF][PDF] Scale-accurate 3D vehicle point cloud extraction from single-camera traffic video

J Kowalczuk, ET Psota, LC Pérez - Proceedings of the International …, 2013 - world-comp.org
Reliable data extraction is essential to achieving a high-level understanding of the
processes ongoing in the traffic environment. The ability to extract 3D structural properties of …

Locating Method for Vehicle at Intersection Based on TPVM and Optical Flow

T Chen, L Fan, X Li, C Guo, M Qiao - CICTP 2020, 2020 - ascelibrary.org
In order to improve the speed of vehicles locating at intersection, this paper proposes a
method based on two-dimensional projection vehicle model (TPVM) and optical flow. Firstly …

[引用][C] 基于分布式视频网络的交叉口车辆精确定位方法

杨德亮, 谢旭东, 李春文, 牛小铁 - 清华大学学报: 自然科学版, 2016