In this paper a new method for gait based person re-identification is proposed under varying view angle and covariate factors (ie carrying bag and clothing).
A novel Re-ID framework consisting of a two-branch model to fuse the appearance and gait feature to overcome covariate changes is proposed and the Euclidean ...
Human gait represents an attractive biometric modality to re-identify a person as it requires non contact and it is perceivable at a distance.
Person re-identification based on gait via Part View Transformation Model under variable covariate conditions.
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This paper proposed a new method for gait-based person re-identification relying on dynamic selection of human parts based on semantic information and ...
Apr 14, 2022 · This paper proposes a novel Re-ID framework consisting of a two-branch model to fuse the appearance and gait feature to overcome covariate changes.
A Gait-Based Real-Time Gender Classification System Using Whole ...
www.ncbi.nlm.nih.gov › PMC9737782
Nov 24, 2022 · This paper proposes a logistic-regression-based machine learning model using whole body joints for gender classification.
Feb 11, 2019 · This method consists in computing a new person descriptor from relevant selected human parts. The selection of the most informative parts was ...
Jun 15, 2024 · Gait recognition is the identification of individuals based on how they walk. It can identify an individual of interest without their ...
This paper proposes a novel Re-ID framework consisting of a two-branch model to fuse the appearance and gait feature to overcome covariate changes. Firstly, we ...