TRAFFIC SYMBOL IDENTIFICATION AS TRAIN INTELLIGENCE

Author(s):
B.Dhanaprabha , Kalasalingam Institute of Technology; S. Kannudurai ,
Keywords
Computer Vision, Traffic Sign Recognition, OpenCV
Abstract
Video Surveillance is very common in day-to-day life. In this paper we show how a video analytics takes place in a video surveillance, specifically aimed at efficient detection and recognition the traffic symbols that’s recorded by the video camera. We used a DVR installed in the train to track the symbols along the track. This is done in single frames using set of colour and shape-based criteria using OpenCV library. 
Reference
[1]	http://digi.physic.ut.ee/mw/index.php/Computer_vision_libraries
[2]	http://students.iitk.ac.in/eclub/assets/tutorials/OPENCV%20TUTORIAL.pdf
[3]	http://docs.opencv.org/modules/video/doc/video.html
[4]	https://en.wikipedia.org/wiki/OpenCV
[5]	https://research.nvidia.com/sites/default/files/publications/OpenCV_CACM_p61-pulli.pdf
Other Details
Paper ID: GRDCF002029
Published in: Conference : International Conference on Innovations in Engineering and Technology (ICIET - 2016)
Page(s): 122 - 125
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