Deep Ranking for Person Re-Identification via Joint Representation Learning

This paper proposes a novel approach to person re-identification, a fundamental task in distributed multi-camera surveillance systems. Although a variety of powerful algorithms have been presented in the past few years, most of them usually focus on designing hand-crafted features and learning metri...

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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 25; no. 5; pp. 2353 - 2367
Main Authors:	Chen, Shi-Zhe, Guo, Chun-Chao, Lai, Jian-Huang
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.05.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithm design and analysis Algorithms Biometric Identification - methods Cameras Databases, Factual deep convolutional neural network Feature extraction Galleries Humans Image color analysis Learning learning to rank Machine Learning Measurement Neural networks Neural Networks (Computer) Person re-identification Probes Ranking Representations Similarity deep convolutional neural network Person re-identification learning to rank
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
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