Real Time Video Traffic Light Detection And Interpretation Using Image Processing Method

Ramlan, Nur Amalyna (2018) Real Time Video Traffic Light Detection And Interpretation Using Image Processing Method. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Real Time Video Traffic Light Detection And Interpretation Using Image Processing Method.pdf - Submitted Version Download (682kB)

Abstract

The purpose of this project is meant to develop a real-time traffic light recognition using image processing algorithm. Invariant in factor lightning and weather condition that lead to misinterpret the colour of traffic light is one of the factor of accident at traffic light conjunction besides the behaviour of the driver itself. The process to identify the colour and shape of traffic light are Image Acquisition, Pre-Processing, Detection, Feature Extraction and Interpretation. Simple thresholding method that act as colour segmentation provides a better division of the traffic light colours. Circle Hough Transform and HSV colour features based on the traffic light aspect are used to decide whether the spots on the frames are likely to be traffic lights’ colour and shape. The detection of traffic light is obtained after identifying the feature that need to be extracted at the end of the result and by comparing the pixel value in recognition process. The research has been improved by focussing on detection and interpretation of traffic light based on real time video rather than image sample as the input by processing all frames contained in the video.

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