Generic Learning-Based Ensemble Framework for Small Sample Size Face Recognition in Multi-Camera Networks
Multi-camera networks have gained great interest in video-based surveillance systems for security monitoring, access control, etc. Person re-identification is an essential and challenging task in multi-camera networks, which aims to determine if a given individual has already appeared over the camer...
Main Authors: | Cuicui Zhang, Xuefeng Liang, Takashi Matsuyama |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2014-12-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/14/12/23509 |
Similar Items
-
Uniform Generic Representation for Single Sample Face Recognition
by: Yuhua Ding, et al.
Published: (2020-01-01) -
Face recognition from single sample per person by learning of generic discriminant vectors
by: Hafiz, F., et al.
Published: (2012) -
Semantic Constraint GAN for Person Re-Identification in Camera Sensor Networks
by: Shuang Liu, et al.
Published: (2019-01-01) -
Integration Convolutional Neural Network for Person Re-Identification in Camera Networks
by: Zhong Zhang, et al.
Published: (2018-01-01) -
Person Re-Identification Between Visible and Thermal Camera Images Based on Deep Residual CNN Using Single Input
by: Jin Kyu Kang, et al.
Published: (2019-01-01)