基于深度学习的行人再识别技术分析  

Analysis of Pedestrian Recognition Technology Based on Deep Learning

作　　者：李乐[1] 韩家新[1] LI Le;HAN Jiaxin(Xi'an Petroleum University,Shaanxi 710300,China)

机构地区：[1]西安石油大学,陕西710300

出　　处：《集成电路应用》2023年第1期324-326,共3页Application of IC

摘　　要：阐述在视频监控系统的辅助识别中,行人再识别技术能够有效提升视频监控系统的效率与质量,探讨以深度学习为基础的行人再识别技术特点、再识别技术的表征研究法、度量研究法、局部表征研究法、视频序列研究法的分析。This paper expounds that the pedestrian re-recognition technology can effectively improve the efficiency and quality of the video surveillance system in the auxiliary recognition of the video surveillance system, and discusses the characteristics of the pedestrian re-recognition technology based on in-depth learning, the analysis of the representation research method, the measurement research method, the local representation research method, and the video sequence research method of the re-recognition technology.

关 键 词：视频监控 辅助识别 表征研究、度量研究 局部表征 视频序列 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP277[自动化与计算机技术—控制科学与工程] TN948.6[电子电信—信号与信息处理]