Deep Ranking for Person Re-Identification via Joint Representation Learning

• 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

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...