A survey of video processing techniques for traffic applications
V Kastrinaki, M Zervakis, K Kalaitzakis - Image and vision computing, 2003 - Elsevier
Video sensors become particularly important in traffic applications mainly due to their fast
response, easy installation, operation and maintenance, and their ability to monitor wide …
response, easy installation, operation and maintenance, and their ability to monitor wide …
Automatic traffic surveillance system for vehicle tracking and classification
JW Hsieh, SH Yu, YS Chen… - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
This paper presents an automatic traffic surveillance system to estimate important traffic
parameters from video sequences using only one camera. Different from traditional methods …
parameters from video sequences using only one camera. Different from traditional methods …
Multi-frame track-before-detect algorithm for maneuvering target tracking
Multi-frame track-before-detect (MF-TBD) is a model-based batch processing method.
Assuming a particular model for the evolution of target states (eg a constant velocity model) …
Assuming a particular model for the evolution of target states (eg a constant velocity model) …
Symmetrical SURF and its applications to vehicle detection and vehicle make and model recognition
Speeded-Up Robust Features (SURF) is a robust and useful feature detector for various
vision-based applications but it is unable to detect symmetrical objects. This paper proposes …
vision-based applications but it is unable to detect symmetrical objects. This paper proposes …
Vehicle detection using normalized color and edge map
This paper presents a novel vehicle detection approach for detecting vehicles from static
images using color and edges. Different from traditional methods, which use motion features …
images using color and edges. Different from traditional methods, which use motion features …
Traffic accident prediction using 3-D model-based vehicle tracking
Intelligent visual surveillance for road vehicles is the key to developing autonomous
intelligent traffic systems. Recently, traffic incident detection employing computer vision and …
intelligent traffic systems. Recently, traffic incident detection employing computer vision and …
Real-time vehicle type classification with deep convolutional neural networks
X Wang, W Zhang, X Wu, L Xiao, Y Qian… - Journal of Real-Time …, 2019 - Springer
Vehicle type classification technology plays an important role in the intelligent transport
systems nowadays. With the development of image processing, pattern recognition and …
systems nowadays. With the development of image processing, pattern recognition and …
[图书][B] Advanced motion control and sensing for intelligent vehicles
Advanced Motion Control and Sensing for Intelligent Vehicles provides the latest information
in intelligent vehicle control, sensing, and intelligent transportation. It addresses the growing …
in intelligent vehicle control, sensing, and intelligent transportation. It addresses the growing …
Automatic license-plate location and recognition based on feature salience
ZX Chen, CY Liu, FL Chang… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
License-plate recognition plays an important role in numerous applications, and a number of
techniques have been proposed. In this paper, a novel method to recognize license plates is …
techniques have been proposed. In this paper, a novel method to recognize license plates is …