A Person Reidentification Algorithm Based on Improved Siamese Network and Hard Sample
Joint Authors
Fan, Di
Sun, Bo
Wang, Guangcai
Wang, Shiqi
Chi, Wanda
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Person reidentification is aimed at solving the problem of matching and identifying people under the scene of cross cameras.
However, due to the complicated changes of different surveillance scenes, the error rate of person reidentification exists greatly.
In order to solve this problem and improve the accuracy of person reidentification, a new method is proposed, which is integrated by attention mechanism, hard sample acceleration, and similarity optimization.
First, the bilinear channel fusion attention mechanism is introduced to improve the bottleneck of ResNet50 and fine-grained information in the way of multireceptive field feature channel fusion is fully learnt, which enhances the robustness of pedestrian features.
Meanwhile, a hard sample selection mechanism is designed on the basis of the P2G optimization model, which can simplify and accelerate picking out hard samples.
The hard samples are used as the objects of similarity optimization to realize the compression of the model and the enhancement of the generalization ability.
Finally, a local and global feature similarity fusion module is designed, in which the weights of each part are learned through the training process, and the importance of key parts is automatically perceived.
Experimental results on Market-1501 and CUHK03 datasets show that, compared with existing methods, the algorithm in this paper can effectively improve the accuracy of person reidentification.
American Psychological Association (APA)
Wang, Guangcai& Wang, Shiqi& Chi, Wanda& Sun, Bo& Fan, Di. 2020. A Person Reidentification Algorithm Based on Improved Siamese Network and Hard Sample. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1194623
Modern Language Association (MLA)
Wang, Guangcai…[et al.]. A Person Reidentification Algorithm Based on Improved Siamese Network and Hard Sample. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1194623
American Medical Association (AMA)
Wang, Guangcai& Wang, Shiqi& Chi, Wanda& Sun, Bo& Fan, Di. A Person Reidentification Algorithm Based on Improved Siamese Network and Hard Sample. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1194623
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194623