Dataset for Human Recognition under Multi-Gait Scenario

Published: 6 June 2019| Version 2 | DOI: 10.17632/py4zw6g7xc.2
Contributors:
,
,
,

Description

Previous research in gait recognition and available dataset focused on single subjects. But in real time environment (such as airport, metro stations etc.) more than one person walk in a group and occlusion factors affects the performance of gait recognition. Therefore, we presented a new dataset which focused dynamic occlusion scenario. We constructed two categories of gait dataset i.e. first, subjects walk in a group (SMVDU-Multi-Gait) and second, subjects walk separately (SMVDU-Single-Gait). The purpose of this dataset to analyze the variations in gait patterns when same subject walk in a group or individually and also to recognize the target subject in Multi-Gait.

Files

Institutions

Shri Mata Vaishno Devi University

Categories

Biometrics, Gait

Licence