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[PDF][PDF] 视觉跟踪技术综述
侯志**， **崇昭 - 自动化学报, 2006 - researchgate.net
摘要视觉跟踪问题是当前计算机视觉领域中的热点问题, 本文对这一问题进行了详细的介绍.
首先, 对视觉跟踪技术在视频监视, 图像压缩和三维重构等三个主要方面的应用进行了论述 …
首先, 对视觉跟踪技术在视频监视, 图像压缩和三维重构等三个主要方面的应用进行了论述 …
Autonomous bolt loosening detection using deep learning
Machine vision-based structural health monitoring is gaining popularity due to the rich
information one can extract from video and images. However, the extraction of characteristic …
information one can extract from video and images. However, the extraction of characteristic …
Framework for performance evaluation of face, text, and vehicle detection and tracking in video: Data, metrics, and protocol
Common benchmark data sets, standardized performance metrics, and baseline algorithms
have demonstrated considerable impact on research and development in a variety of …
have demonstrated considerable impact on research and development in a variety of …
A survey of video processing techniques for traffic applications
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 …
Moving vehicle detection for automatic traffic monitoring
A video-based traffic monitoring system must be capable of working in various weather and
illumination conditions. In this paper, we will propose an example-based algorithm for …
illumination conditions. In this paper, we will propose an example-based algorithm for …
An advanced motion detection algorithm with video quality analysis for video surveillance systems
Motion detection is the first essential process in the extraction of information regarding
moving objects and makes use of stabilization in functional areas, such as tracking …
moving objects and makes use of stabilization in functional areas, such as tracking …
Learning, modeling, and classification of vehicle track patterns from live video
This paper presents two different types of visual activity analysis modules based on vehicle
tracking. The highway monitoring module accurately classifies vehicles into eight different …
tracking. The highway monitoring module accurately classifies vehicles into eight different …
Image-based learning to measure traffic density using a deep convolutional neural network
Existing methodologies to count vehicles from a road image have depended upon both
hand-crafted feature engineering and rule-based algorithms. These require many …
hand-crafted feature engineering and rule-based algorithms. These require many …
[PDF][PDF] Automatic traffic density estimation and vehicle classification for traffic surveillance systems using neural networks
It is important to know the road traffic density real time especially in mega cities for signal
control and effective traffic management. In recent years, video monitoring and surveillance …
control and effective traffic management. In recent years, video monitoring and surveillance …
[PDF][PDF] Internet of things: A new application for intelligent traffic monitoring system
L **ao, Z Wang - Journal of networks, 2011 - researchgate.net
Constructing an intelligent traffic monitoring system firstly depends on automatic
identification for vehicles. At present, automatic identification technology based on image …
identification for vehicles. At present, automatic identification technology based on image …