DocumentCode :
2590024
Title :
Grid-based real-time image processing (GRIP) algorithm for heterogeneous traffic
Author :
Manipriya, S. ; Ramadurai, Gitakrishnan ; Reddy, V. V. Bhavesh
Author_Institution :
Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol., Trichy, India
fYear :
2015
fDate :
6-10 Jan. 2015
Firstpage :
1
Lastpage :
6
Abstract :
The paper presents a fast algorithm for real-time image processing for counting and classification of vehicles in heterogeneous traffic recorded using a single stationary camera. The proposed method uses a single feature as the base parameter which is given by the user to classify the vehicles into four different classes. The algorithm has an error of 6.1% on an average for the total count when studied under varying illumination and weather conditions.
Keywords :
cameras; image classification; traffic engineering computing; GRIP algorithm; grid-based real-time image processing algorithm; heterogeneous traffic; single stationary camera; vehicle classification; vehicle counting; Clouds; Generators; Rain; Real-time systems; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Networks (COMSNETS), 2015 7th International Conference on
Conference_Location :
Bangalore
Type :
conf
DOI :
10.1109/COMSNETS.2015.7098721
Filename :
7098721
Link To Document :
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