Fusing Appearance and Spatio-Temporal Models for Person Re-Identification and Tracking.

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Bibliographic Details
Title: Fusing Appearance and Spatio-Temporal Models for Person Re-Identification and Tracking.
Authors: Chen AT; Embedded Systems Research Group, Department of Electrical, Computer, and Software Engineering, The University of Auckland, Auckland 1010, New Zealand., Biglari-Abhari M; Embedded Systems Research Group, Department of Electrical, Computer, and Software Engineering, The University of Auckland, Auckland 1010, New Zealand., Wang KI; Embedded Systems Research Group, Department of Electrical, Computer, and Software Engineering, The University of Auckland, Auckland 1010, New Zealand.
Source: Journal of imaging [J Imaging] 2020 May 01; Vol. 6 (5). Date of Electronic Publication: 2020 May 01.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101698819 Publication Model: Electronic Cited Medium: Internet ISSN: 2313-433X (Electronic) Linking ISSN: 2313433X NLM ISO Abbreviation: J Imaging Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2313-433X
DOI:10.3390/jimaging6050027