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arXiv · 1905.05420

Towards a Skeleton-Based Action Recognition For Realistic Scenarios

Cagatay Odabasi·Jewel Jose
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Abstract

Understanding human actions is a crucial problem for service robots. However, the general trend in Action Recognition is developing and testing these systems on structured datasets. That's why this work presents a practical Skeleton-based Action Recognition framework which can be used in realistic scenarios. Our results show that although non-augmented and non-normalized data may yield comparable results on the test split of the dataset, it is far from being useful on another dataset which is a manually collected data.

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BibTeXRIS

Cagatay Odabasi, Jewel Jose. 2019-05-14. Towards a Skeleton-Based Action Recognition For Realistic Scenarios. https://doi.org/10.13140/rg.2.2.23016.52485

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