基于Storm的大容量实时人脸检索系统

Large-Scale Real-Time Face Retrieval System Based on Storm

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.

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.