Intelligent monitor system based on cloud and convolutional neural networks

被引：12
|
作者：
Yong, Binbin [1 ]
Zhang, Gaofeng [1 ]
Chen, Huaming [2 ]
Zhou, Qingguo [1 ]
机构：
[1] Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou, Gansu, Peoples R China
[2] Univ Wollongong, Sch Comp & Informat Technol, Wollongong, NSW, Australia
来源：
JOURNAL OF SUPERCOMPUTING | 2017年 / 73卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Cloud computing; Artificial neural network; Intelligent monitor system; Convolutional neural network; FACIAL EXPRESSION RECOGNITION;
D O I：
10.1007/s11227-016-1934-1
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Nowadays, cloud-based services are widely developed. The deployment of cloud technology has boosted the development and application of web services. It reduces the overhead of software virtual machine, and supports a wider range of operating systems. Moreover, it enhances the utilization of infrastructure. With the development of artificial intelligence (AI) technology, especially artificial neural network (ANN), intelligent monitor systems are being raised and developed in our daily life. However, a simple task with a single ANN costs a lot of time and computation resources. Hence, we propose using a cloud-based system to share computation resources for ANN to reduce redundant computation. In this paper, we present an intelligent monitor system, which is based on cloud technology, to provide intelligent monitor services. The system is designed with hybrid convolutional neural networks. It has been used for several intelligent monitor tasks, such as scene change detection, stranger recognition, facial expression recognition and action recognition.
引用
收藏
页码：3260 / 3276
页数：17
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