Experimental Comparison of Methods for Estimation of the Observed Velocity of the Vehicle in Video Stream

被引:2
|
作者
Konovalenko, Ivan [1 ,2 ,3 ]
Kuznetsova, Elena [1 ,3 ]
机构
[1] IITP RAS, Moscow, Russia
[2] MIPT, Moscow, Russia
[3] Visillect Serv Ltd, Moscow, Russia
关键词
Optical flow; feature points; edge extractor; video tracking;
D O I
10.1117/12.2181226
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we consider the problem of object's velocity estimation via video stream by comparing three new methods of velocity estimation named as vertical edge algorithm, modified Lucas-Kanade method, and feature points algorithm. As an applied example the task of automatic evaluation of vehicles' velocity via video stream on toll roads is chosen. We took some videos from cameras mounted on the toll roads and marked them out to determine true velocity. Comparison is carried out of performance in the correct velocity detection of the proposed methods with each other. The relevance of this paper is practical implementation of these methods overcoming all the difficulties of realization.
引用
收藏
页数:5
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