Dataset for Human Recognition under Multi-Gait Scenario

Published: 6 Jun 2019 | Version 2 | DOI: 10.17632/py4zw6g7xc.2

Description of this data

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.

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Latest version

  • Version 2


    Published: 2019-06-06

    DOI: 10.17632/py4zw6g7xc.2

    Cite this dataset

    Singh, Jasvinder Pal; Jain, Sanjeev; Arora, Sakshi; Singh, Uday Pratap (2019), “Dataset for Human Recognition under Multi-Gait Scenario”, Mendeley Data, v2


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Previous versions

  • Version 1 (unavailable)


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Shri Mata Vaishno Devi University


Biometrics, Gait


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