Work place: American International University-Bangladesh, Faculty of Science & Information Technology Dhaka, 1212, Bangladesh
Research Interests: Computer systems and computational processes, Computer Vision, Neural Networks, Computer Architecture and Organization, Computer Graphics and Visualization, Computer Networks, Intrusion Detection System, Image Processing, Data Structures and Algorithms, Detection Theory
Kazi Md Zubair is an undergraduate student of Computer Science and Engineering under the Department of Science and Information Technology of American International University Bangladesh. His research interests and passion are mostly based on Convolutional Artificial Neural Networks, Object Detection and Tracking included in the field of Computer Vision, Image Processing and Machine Learning.
DOI: https://doi.org/10.5815/ijmecs.2018.06.05, Pub. Date: 8 Jun. 2018
Automated Vehicular System has become a necessity in the current technological revolution. Real Traﬃc sign detection and recognition is a vital part of that system that will ﬁnd roadside traﬃc signs to warn the automated system or driver beforehand of the physical conditions of roads. Mostly, researchers based on Traﬃc sign detection face problems such as locating the sign, classifying it and distinguishing one sign from another. The most common approach for locating and detecting traﬃc signs is the color information extraction method. The accuracy of color information extraction is dependent upon the selection of a proper color space and its capability to be robust enough to provide color analysis data. Techniques ranging from template matching to critical Machine Learning algorithms are used in the recognition process. The main purpose of this research is to give a review based on methods and framework of Traffic Sign Detection and Recognition solution and discuss also the current challenges of the whole solution.[...] Read more.
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