Skeleton-based Action Recognition for Industrial Packing Process

Zhenhui Chen, Haiyang Hu, Zhongjin Li, Xingchen Qi, Haiping Zhang, Hua Hu, Victor Chang

2020

Abstract

The applications of action recognition in real-world scenarios are challenging. Although state-of-the-art methods have demonstrated good performance on large scale datasets, we still face complex practical problems and inappropriate models. In this work, we propose a novel local image directed graph neural network (LI-DGNN) to solve a real-world production scenario problem which is the completeness identification of accessories during the range hood packing process in a kitchen appliance manufacturing workshop. LI-DGNN integrates skeleton-based action recognition and local image classification to make good use of both human skeleton data and appearance information for action recognition. The experimental results demonstrate the high recognition accuracy and good generalization ability on the range hood packing dataset (RHPD) which is generated in the industrial packing process. The results can meet the recognition requirements in the actual industrial production process.

Paper Citation

in Harvard Style

Chen Z., Hu H., Li Z., Qi X., Zhang H., Hu H. and Chang V. (2020). Skeleton-based Action Recognition for Industrial Packing Process.In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-426-8, pages 36-45. DOI: 10.5220/0009340800360045

in Bibtex Style

@conference{iotbds20,
author={Zhenhui Chen and Haiyang Hu and Zhongjin Li and Xingchen Qi and Haiping Zhang and Hua Hu and Victor Chang},
title={Skeleton-based Action Recognition for Industrial Packing Process},
booktitle={Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2020},
pages={36-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009340800360045},
isbn={978-989-758-426-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Skeleton-based Action Recognition for Industrial Packing Process
SN - 978-989-758-426-8
AU - Chen Z.
AU - Hu H.
AU - Li Z.
AU - Qi X.
AU - Zhang H.
AU - Hu H.
AU - Chang V.
PY - 2020
SP - 36
EP - 45
DO - 10.5220/0009340800360045