Pedestrian Re-recognition Based on Hybrid Network

作     者：Yuchang Si 

作者机构：Software CollegeShenyang Normal UniversityShenyang 110034 China 

出 版 物：《IJLAI Transactions on Science and Engineering》 (IJLAI科学与工程学报汇刊（英文）)

年 卷 期：2024年第2卷第1期

页      面：46-52页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Pedestrian re-recognition Hybrid network Feature extraction Backbone network 

摘      要：With the rapid development of related computer vision algorithms,the large-scale use of video surveillance systems has not only improved traffic safety,but also promoted the development of intelligent ***,due to the complexity of the application scene,especially in the face of complex scene occlusion factors,the noise generated by the occlusion inevitably leads to the loss of the feature information of the identified person or object,which poses a great challenge to the existing pedestrian re-recognition ***,this paper proposes a novel pedestrian re-recognition based on hybrid *** extraction is carried out on four cooperative branches:local branch,global branch,global contrast pool branch and associated branch,and powerful diversity pedestrian feature expression ability is *** network in this paper can be applied to different backbone *** experimental comparison,the proposed algorithm has certain advantages compared with the latest methods,and the ablation experimental analysis further proves the effectiveness of the proposed network structure.