Normalized distance aggregation of discriminative features for person reidentification

Li Hou
Li Hou
Kang Han
Kang Han
Haiyan Yao
Haiyan Yao

J. Electronic Imaging, Volume 27, Issue 2, 2018.

Cited by: 0|Bibtex|Views17
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

We propose an effective person reidentification method based on normalized distance aggregation of discriminative features. Our framework is built on the integration of three high-performance discriminative feature extraction models, including local maximal occurrence (LOMO), feature fusion net (FFN), and a concatenation of LOMO and FFN c...More

Code:

Data:

Your rating :
0

 

Tags
Comments