Title :
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
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;
Conference_Titel :
Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6084-2
DOI :
10.1109/ICECCT.2015.7226055
