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:2019,28(3):93-98
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基于Storm的大容量实时人脸检索系统
(北京邮电大学 电子工程学院, 北京 100876)
Large-Scale Real-Time Face Retrieval System Based on Storm
(School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China)
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投稿时间:2018-08-24    修订日期:2018-09-20
中文摘要: 针对公共安全领域能够获取的人脸图像数据急速增长,传统的人工方式辨别人物身份工作量大、实时性差、准确度低,本文设计了一种大容量实时人脸检索系统.该系统通过Storm分布式平台实现人脸抓拍图像的实时存储与检索,通过HBase分布式存储系统实现大容量非结构化人脸数据的存储与维护.多组实验结果表明,该系统具有良好的加速比,在大容量人脸图像数据检索场景下具有良好的可扩展性和实时性.
中文关键词: 人脸检索  大容量  Storm  实时
Abstract:The face image data that can be obtained in the field of public security has grown rapidly. The traditional manual method to identify people has large workload, poor real-time performance, and low accuracy. This study designs a large-scale real-time face retrieval system. The system implements the real-time storage and retrieval of captured face images through the distributed platform Storm, and implements the storage and maintenance of large-scale unstructured face data through the distributed storage system HBase. The results of multiple experiments show that the system has a good speedup, good scalability, and real-time performance in the application scenarios of large-scale face image data retrieval.
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王晨曦,范春晓,吴岳辛.基于Storm的大容量实时人脸检索系统.计算机系统应用,2019,28(3):93-98
WANG Chen-Xi,FAN Chun-Xiao,WU Yue-Xin.Large-Scale Real-Time Face Retrieval System Based on Storm.COMPUTER SYSTEMS APPLICATIONS,2019,28(3):93-98

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