【文件属性】:
文件名称:A Review of Computer Vision Techniques for the Analysis of Urban Traffic
文件大小:644KB
文件格式:PDF
更新时间:2014-11-04 03:13:11
Urban Traffic
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 computer vision for traffic video with a critical
analysis and an outlook to future research directions. This field
is of increasing relevance for intelligent transport systems (ITSs).
The decreasing hardware cost and, therefore, the increasing de-
ployment of cameras have opened a wide application field for
video analytics. Several monitoring objectives such as congestion,
traffic rule violation, and vehicle interaction can be targeted using
cameras that were typically originally installed for human oper-
ators. Systems for the detection and classification of vehicles on
highways have successfully been using classical visual surveillance
techniques such as background estimation and motion tracking
for some time. The urban domain is more challenging with respect
to traffic density, lower camera angles that lead to a high degree
of occlusion, and the variety of road users. Methods from object
categorization and 3-D modeling have inspired more advanced
techniques to tackle these challenges. There is no commonly used
data set or benchmark challenge, which makes the direct com-
parison of the proposed algorithms difficult. In addition, evalu-
ation under challenging weather conditions (e.g., rain, fog, and
darkness) would be desirable but is rarely performed. Future
work should be directed toward robust combined detectors and
classifiers for all road users, with a focus on realistic conditions
during evaluation.
网友评论
- 正在做有关项目 适合入门 谢谢
- 正在找计算机视觉跟踪方面的综述,这个就是最好的礼物了!多谢!
- 正在做智能交通的视觉项目,有这个就很好了,很有指导意义啊
- 这篇论文关于智能交通领域的计算机视觉的应用,讲的还是很好的