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Learning hierarchical representation using Siamese Convolution Neural Network for human re-identification

Human re-identification is to match a pair of humans appearing in different cameras with non-overlapping views. However, in order to achieve this task, we need to overcome several challenges such as variations in lighting, viewpoint, pose and colour. In this paper, we propose a new approach for pers...

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Bibliographic Details
Main Authors:	Low, K. B., Sheikh, U. U.
Format:	Conference or Workshop Item
Published:	Institute of Electrical and Electronics Engineers Inc. 2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/73463/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964817632&doi=10.1109%2fICDIM.2015.7381875&partnerID=40&md5=6571936f40c48b02b047f16f616982cf
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