Bodyprint—A Meta-Feature Based LSTM Hashing Model for Person Re-Identification

Bodyprint—A Meta-Feature Based LSTM Hashing Model for Person Re-Identification

Person re-identification is concerned with matching people across disjointed camera views at different places and different time instants. This task results of great interest in computer vision, especially in video surveillance applications where the re-identification and tracking of persons are req...

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Bibliographic Details
Main Authors: Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Daniele Pannone, Claudio Piciarelli
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
person re-identification
long short-term memory networks
2D skeletons
RGB video sequences
joints based meta-features
binary coding
Online Access:https://www.mdpi.com/1424-8220/20/18/5365

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