Person Re-Identification Using Deep Modeling of Temporally Correlated Inertial Motion Patterns

Person Re-Identification Using Deep Modeling of Temporally Correlated Inertial Motion Patterns

Person re-identification (re-ID) is among the essential components that play an integral role in constituting an automated surveillance environment. Majorly, the problem is tackled using data acquired from vision sensors using appearance-based features, which are strongly dependent on visual cues su...

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Bibliographic Details
Main Authors: Imad Gohar, Qaiser Riaz, Muhammad Shahzad, Muhammad Zeeshan Ul Hasnain Hashmi, Hasan Tahir, Muhammad Ehsan Ul Haq
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
deep learning
human re-identification
human-gait analysis
inertial sensors
inertial-based person re-identification
gait-based person re-id
Online Access:https://www.mdpi.com/1424-8220/20/3/949

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