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A Binarized Segmented ResNet Based on Edge Computing for Re-Identification

文献类型：期刊论文

作者Chen, Yanming1; Yang, Tianbo1; Li, Chao2; Zhang, Yiwen1
刊名SENSORS
出版日期2020-12-01
卷号20期号:23页码:19
关键词binary neural network cloud computing edge computing person Re-Identification end devices
DOI10.3390/s20236902
英文摘要With the advent of the Internet of Everything, more and more devices are connected to the Internet every year. In major cities, in order to maintain normal social order, the demand for deployed cameras is also increasing. In terms of public safety, person Re-Identification (ReID) can play a big role. However, the current methods of ReID are to transfer the collected pedestrian images to the cloud for processing, which will bring huge communication costs. In order to solve this problem, we combine the recently emerging edge computing and use the edge to combine the end devices and the cloud to implement our proposed binarized segmented ResNet. Our method is mainly to divide a complete ResNet into three parts, corresponding to the end devices, the edge, and the cloud. After joint training, the corresponding segmented sub-network is deployed to the corresponding side, and inference is performed to realize ReID. In our experiments, we compared some traditional ReID methods in terms of accuracy and communication overhead. It can be found that our method can greatly reduce the communication cost on the basis of basically not reducing the recognition accuracy of ReID. In general, the communication cost can be reduced by four to eight times.
资助项目National Natural Science Foundation of China[61802001] ; National Natural Science Foundation of China[61702487]
WOS研究方向Chemistry ; Engineering ; Instruments & Instrumentation
语种英语
WOS记录号WOS:000597540700001
出版者MDPI
源URL[http://119.78.100.204/handle/2XEOYT63/16605]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhang, Yiwen
作者单位1.Anhui Univ, Sch Comp Sci, Hefei 230601, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Yanming,Yang, Tianbo,Li, Chao,et al. A Binarized Segmented ResNet Based on Edge Computing for Re-Identification[J]. SENSORS,2020,20(23):19.
APA Chen, Yanming,Yang, Tianbo,Li, Chao,&Zhang, Yiwen.(2020).A Binarized Segmented ResNet Based on Edge Computing for Re-Identification.SENSORS,20(23),19.
MLA Chen, Yanming,et al."A Binarized Segmented ResNet Based on Edge Computing for Re-Identification".SENSORS 20.23(2020):19.

入库方式： OAI收割

来源：计算技术研究所

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