文章基本信息

标题：An Implementation of Intelligent Surveillance Bot System based on Robust CNN Algorithm
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作者：Ming-Shou An ; Dae-Seong Kang
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2016
卷号：9
期号：8
页码：199-210
出版社：SERSC
摘要：As accidents and crimes have increased at an alarming rate lately, most people are faced with the necessity of security and surveillance in private places as well as in public places. Therefore, the demand for intelligent surveillance systems has been increasing, and various technologies for image recognition and analysis from cameras are being developed for use in automatic monitoring. Among these techniques, the most popular and advanced method is deep learning. It is a field of machine learning based on neural networks. In this paper, we propose the object classifier technique with the Convolutional Neural Networks (CNN) algorithm, which is most widely used in image processing. Additionally, we implement the image analysis bot system based on the above proposed algorithm.
关键词：Intelligent Surveillance System; Machine Learning; Neural Network; Deep ;Learning; Convolutional Neural Network