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http://dx.doi.org/10.5909/JBE.2018.23.3.345

Classification and Safety Score Evaluation of Street Images Using CNN  

Bae, Kyu Ho (Inha University, Department of Information and Communication Engineering)
Yun, Jung Un (Inha University, Department of Information and Communication Engineering)
Park, In Kyu (Inha University, Department of Information and Communication Engineering)
Publication Information
Journal of Broadcast Engineering / v.23, no.3, 2018 , pp. 345-350 More about this Journal
Abstract
CNN (convolution neural network) has become the most popular artificial intelligence technique and shows remarkable performance in image classification task. In this paper, we propose a CNN-based classification method for various street images as well as a method of evaluating the safety score for the street. The proposed method consists of learning four types of street images using CNN and classifying input street images using the learned CNN model followed by evaluating the safety score. During the learning process, four types of street images are collected and augmented, and then CNN learning is performed. It is shown that learned CNN model classifies input images correctly and the safety scores are evaluated quantitatively by combining the probabilities of different street types.
Keywords
CNN; street photo; classification; safety score;
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