ESTIMATION AND ANALYSIS OF URBAN TRAFFIC FLOW

被引:14
|
作者
Lee, Joonsoo [1 ]
Bovik, Alan C. [1 ]
机构
[1] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA
关键词
Traffic flow; optical flow; flow vector statistics; traffic surveillance; TRACKING; VEHICLES; MOTION;
D O I
10.1109/ICIP.2009.5413520
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes methods for extracting traffic flow information from urban traffic scenes. The ultimate goal is to collect a macroscopic view of traffic flow information in a fully automatic and segmentation-free way. First, traffic flow is calculated by optical flow estimation. Then, traffic flow regions are defined by the initial traffic flow, and further analysis is performed only in the defined traffic flow regions. Basic statistics of the traffic flow vectors are studied. It is shown that traffic flow computed by optical flow estimation effectively captures traffic scene activity. Also, the statistics of traffic flow vectors contain meaningful and interesting characteristics. An example application demonstrates the applicability and potential uses of the statistics.
引用
收藏
页码:1157 / 1160
页数:4
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