Human re-identification with global and local siamese convolution neural network

• Main Authors: Low, K. B., Sheikh, U. U.
• Format: Article
• Language: English
• Published: Universitas Ahmad Dahlan 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/75636/1/KBLow_HumanRe-identificationwithGlobal.pdf; http://eprints.utm.my/id/eprint/75636/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020178250&doi=10.12928%2fTELKOMNIKA.v15i2.6121&partnerID=40&md5=0e48ee9c286279745910c7cede51fc58

Human re-identification is an important task in surveillance system to determine whether the same human re-appears in multiple cameras with disjoint views. Mostly, appearance based approaches are used to perform human re-identification task because they are less constrained than biometric based appr...