DOAJ Open Access 2018

Survey on person re-identification based on deep learning

Kejun Wang Haolin Wang Meichen Liu Xianglei Xing Tian Han

Lihat Sumber DOI

Abstrak

Person re-identification (Re-ID) is a fundamental subject in the field of the computer vision technologies. The traditional methods of person Re-ID have difficulty in solving the problems of person illumination, occlusion and attitude change under complex background. Meanwhile, the introduction of deep learning opens a new way of person Re-ID research and becomes a hot spot in this field. This study reviews the traditional methods of person Re-ID, then the authors focus on the related papers about different person Re-ID frameworks on the basis of deep learning, and discusses their advantages and disadvantages. Finally, they propose the direction of further research, especially the prospect of person Re-ID methods based on deep learning.

Topik & Kata Kunci

Computational linguistics. Natural language processing Computer software

Penulis (5)

Kejun Wang

Haolin Wang

Meichen Liu

Xianglei Xing

Tian Han

Format Sitasi

APA MLA BibTeX

Wang, K., Wang, H., Liu, M., Xing, X., Han, T. (2018). Survey on person re-identification based on deep learning. https://doi.org/10.1049/trit.2018.1001

Akses Cepat

Lihat di Sumber doi.org/10.1049/trit.2018.1001

Informasi Jurnal

Tahun Terbit: 2018
Sumber Database: DOAJ
DOI: 10.1049/trit.2018.1001
Akses: Open Access ✓