Vehicle Detection in Video Surveillance System using Symmetrical SURF

被引：0
|
作者：
Momin, B. F. [1 ]
Kumbhare, S. M. [1 ]
机构：
[1] Walchand Coll Engn, Dept Comp Sci & Engn, Sangli, Maharashtra, India
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND COMMUNICATION TECHNOLOGIES | 2015年
关键词：
Symmetrical SURF; feature extraction; central line; region of interest(ROI); vehicle detection;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
During the last decades, there are various vehicle detection techniques are discovered and it is important for our society for managing and controlling on road traffic in the urban areas. Vehicle detection is a process of analyzing the traffic and detecting the different types of vehicle on the road. The vehicle is a symmetrical object from front and back. For the detection of vehicle, Symmetrical SURF (Speeded-Up Robust Feature) is one of the descriptor which is used for identifying the symmetrical points and these points is the mirror version of each other, all the possible matching pairs are identified. After that, detecting the central line and ROI of each frame of the vehicle is done.
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页数：4
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