Institute of Computing Technology, Chinese Academy IR
A Binarized Segmented ResNet Based on Edge Computing for Re-Identification | |
Chen, Yanming1; Yang, Tianbo1; Li, Chao2; Zhang, Yiwen1 | |
2020-12-01 | |
发表期刊 | SENSORS |
卷号 | 20期号:23页码:19 |
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. |
关键词 | binary neural network cloud computing edge computing person Re-Identification end devices |
DOI | 10.3390/s20236902 |
收录类别 | SCI |
语种 | 英语 |
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 |
WOS类目 | Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
WOS记录号 | WOS:000597540700001 |
出版者 | MDPI |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/16606 |
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. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论