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http://dx.doi.org/10.9708/jksci.2019.24.02.025

Disaster warning system using Convolutional Neural Network - Focused on intelligent CCTV  

Choi, SeungHyeon (Dept. of Computer and Communications Engineering, Kangwon National University)
Kim, DoHyeon (Dept. of Computer and Communications Engineering, Kangwon National University)
Kim, HyungHeon (INNODEP INC)
Kim, Yoon (Dept. of Computer and Communications Engineering, Kangwon National University)
Publication Information
Journal of the Korea Society of Computer and Information / v.24, no.2, 2019 , pp. 25-33 More about this Journal
Abstract
In this paper, we propose an intelligent CCTV technology which is applied to a recent attracted attention real-time object detection technology in a disaster alarm system. Natural disasters are rapidly increasing due to climate change (global warming). Various disaster alarm systems have been developed and operated to solve this problem. In this paper, we detect object through Neuron Network algorithm and test the difference from existing SVM classifier. Experimental results show that the proposed algorithm overcomes the limitations of existing object detection techniques and achieves higher detection performance by about 15%.
Keywords
Disaster prevention system; Object detection; Deep-Learning; CNN; SVM;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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