Unsupervised Cross-Dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns

Most of the proposed person re-identification algorithms conduct supervised training and testing on single labeled datasets with small size, so directly deploying these trained models to a large-scale real-world camera network may lead to poor performance due to underfitting. It is challenging to in...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition S. 7948 - 7956
Hauptverfasser:	Lv, Jianming, Chen, Weihang, Li, Qing, Yang, Can
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2018
Schlagworte:	Cameras Feature extraction Optimization Silicon Supervised learning Surveillance Visualization
ISSN:	1063-6919
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!