Vehicle detection in video surveillance system using Symmetrical SURF

Author

Momin, B.F. ; Kumbhare, S.M.

Author_Institution

Dept. of Comput. Sci. & Eng., Walchand Coll. of Eng., Sangli, India

fYear

2015

fDate

5-7 March 2015

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

feature extraction; object detection; road traffic; traffic engineering computing; video surveillance; SURF; central line; road traffic; speeded-up robust feature; symmetrical SURF; symmetrical object; traffic analysis; urban areas; vehicle detection techniques; video surveillance system; Buildings; Symmetrical SURF; central line; feature extraction; region of interest(ROI); vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-6084-2

Type

conf

DOI

10.1109/ICECCT.2015.7226055

Filename

7226055