测控技术2024，Vol.43Issue(4)：61-67,7.DOI:10.19708/j.ckjs.2024.04.009
基于人体图像生成的姿态无关人物识别
Pose-Independent Person Identification Based on Human Body Image Generation
摘要
Abstract
Person identification technology enables the robots to have the ability to recognize the identities of users,which effectively improves the intelligent interaction level of robots.One of the main challenges of person identification is the influence of the pose changes on person feature extraction.In order to solve this problem,a pose-independent person identification method based on humon body image generation is proposed,which aims to eliminate the influence of pose change on the person appearance features by generating the human body images with the same poses as the target persons in the dataset.Firstly,the method uses the human body seg-mentation map to separate the human body regions from the background to minimize the interference of the complex and changeable background on the human body appearance features.Then,a human body image with the same pose as the target image is generated under the guidance of the target pose.Finally,a feature fusion module is designed to fuse the identity features of the source and generated image to extract pose-independent robust identity features for person identification.In addition,to better distinguish different persons,negative samples with the same pose are generated in the training process to constrain the model to learn more fine-grained discriminative identity features.Experimental results on person identification and human body image generation demonstrate the effectiveness of the method.关键词
人物识别/人体图像生成/特征融合/姿态无关Key words
person identification/human body image generation/feature fusion/pose-independent分类
信息技术与安全科学引用本文复制引用
刘云,夏贵羽,孙玉宝,刘佳..基于人体图像生成的姿态无关人物识别[J].测控技术,2024,43(4):61-67,7.基金项目
国家重点研发计划(2022YFC2405600) （2022YFC2405600）
国家自然科学基金(62276139,U2001211) （62276139,U2001211）
