Video person reidentification based on neural ordinary differential equations and graph convolution network
Abstract Person reidentification rate has become a challenging research topic in the field of computer vision due to the fact that person appearance is easily affected by lighting, posture and perspective. In order to make full use of the continuity of video data on the time line and the unstructure...
Main Authors: | Li-qiang Zhang, Long-yang Huang, Xiao-li Duan |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-08-01
|
Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13634-021-00747-1 |
Similar Items
-
Human Body Multiple Parts Parsing for Person Reidentification Based on Xception
by: Sibo Qiao, et al.
Published: (2020-12-01) -
Ethical Concerns About Reidentification of Individuals from MRI Neuroimages
by: Elizaveta Garbuzova
Published: (2021-09-01) -
Target Field of View Prediction Using Artificial Pheromones for People Reidentification
by: Everardo Santiago-Ramirez, et al.
Published: (2019-01-01) -
Deep Group-Shuffling Dual Random Walks With Label Smoothing for Person Reidentification
by: Ruopei Guo, et al.
Published: (2020-01-01) -
Person Reidentification pada Sistem Surveillance Cerdas Menggunakan Metode Bag of Visual Feature
by: Muhammad Yusuf Manshur, et al.
Published: (2020-08-01)