TY - A2的太阳,Le AU -汉柯盟——张,宁非盟-谢,Haoyang AU -王,乾隆PY - 2022 DA - 2022/09/16 TI -应用程序基于深度学习》在行人的特征融合方法SP - 5292134六世- 2022 AB -一个系统被称为行人识别利用几个摄像头识别周围地区和快速识别和匹配目标人群。基于行人识别,图像模型,行人的特性,和其他信息,功能开发有高度的概括性,特殊性,准确性。行人通过的应用方法提出了基于深度学习的众多特性。提出的方法成功地保留了高层语义信息,这有助于网络成员中提取所有的行人属性。作为外部材料和语义信息横向和纵向相结合,环境干扰减少,人们创建网络的能力增强。介绍了演讲的语音频道系统,以充分利用全球信息网络,和之间的连接通道是仔细处理以提高全球信息网络的表达能力。零卷积减少操作识别信息的连续性。增加数据的一致性,卷积多层次空间结构与整个图像合并。经过无数次的实验中,三组分别为89.5%,89.5%,和89.1%,分别比1501年,DukeMTMC-reID, CUHK03,和其他中间团体,和实验结果分别为85%和89.5%,分别。多模反馈MP3模块从MP3模块为了获得更多、更密集的多模功能信息。 Comparing the module’s initial response level (RANK1) with the various cycles yields the average accuracy for each cycle (catalog). The experiment demonstrates that the two mixed pile groups can enhance the modulus of the mixed pile group and get better results. The multi-level multi-scale pole function effectively combines the characteristics of pedestrians in various scales, and the addition of the ASP module enhanced the network context information’s overall ability to be represented, aided in this chapter’s research method’s ability to more thoroughly analyze scene structure, and increased the precision of pedestrian re-recognition. SN - 1574-017X UR - https://doi.org/10.1155/2022/5292134 DO - 10.1155/2022/5292134 JF - Mobile Information Systems PB - Hindawi KW - ER -