원문정보
초록
영어
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.
목차
1. Introduction
2. Convolutional Neural Networks
2.1. Affiliations
2.2. Subsampling Layers
2.3. Full Connection Layers
3. Experimental Results
3.1. Pedestrian Detection
3.2. Application of Intelligent Surveillance System
4. Conclusions
Acknowledgments
References