Person re-identification in indoor videos by information fusion using Graph Convolutional Networks

作者：

Highlights：

• A deep learning fusion for person re-identification.

• Fusion of Gait and video for person re-identification.

• The method utilizes graph convolution for feature extraction.

摘要

•A deep learning fusion for person re-identification.•Fusion of Gait and video for person re-identification.•The method utilizes graph convolution for feature extraction.

论文关键词：Person re-identification,Graph energy image,Graph Convolutional Networks,C3D features

论文评审过程：Received 17 July 2021, Revised 5 July 2022, Accepted 1 August 2022, Available online 11 August 2022, Version of Record 19 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118363