Real-time Human Action Detection for Elderly Monitoring System
文献类型：会议论文
| 作者 | Gao S(高松)1,3,4 ; Wang, HY(王宏玉)1,2,4; Xu F(徐方)1,2,4; Song JL(宋吉来)2; Jia K(贾凯)1,2,4
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| 出版日期 | 2019 |
| 会议日期 | July 29 - August 2, 2019 |
| 会议地点 | Suzhou, China |
| 关键词 | human action detection elderly monitoring falling down modelfine-tuning convolutional neural networks |
| 页码 | 1191-1196 |
| 英文摘要 | As the safety of elderly people living alone receives more and more attention, some works start focusing on the monitoring system for abnormal behaviors of the elderly. In this paper, we propose a simple and effective realtime human action detection method based on model finetuning for elderly monitoring system. At first, we built our own action dataset, where falling down is the most important abnormal behavior. We also utilize data augmentation technique to generate diverse training samples and prevent severe over-fitting. Then, we use our own action dataset to fine tune the improved ECO model. Through the part of the existing model parameters as the initial parameters of the new model, greatly accelerated the convergence rate of the model training. Finally, we apply the trained model to real-time human action detection. The experimental results prove that the proposed approach can accurately detect the abnormal behavior of falling down while ensuring the online real-time requirement. |
| 产权排序 | 1 |
| 会议录 | Proceedings of 9th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISSN号 | 2379-7711 |
| ISBN号 | 978-1-7281-0770-7 |
| WOS记录号 | WOS:000569550300207 |
| 源URL | [http://ir.sia.cn/handle/173321/27669]  |
| 专题 | 沈阳自动化研究所_其他 |
| 通讯作者 | Gao S(高松) |
| 作者单位 | 1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 2.Shenyang SIASUN Robot & Automation Co., Ltd., Shenyang 110168, China 3.University of Chinese Academy of Sciences, Beijing 100049, China 4.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Gao S,Wang, HY,Xu F,et al. Real-time Human Action Detection for Elderly Monitoring System[C]. 见:. Suzhou, China. July 29 - August 2, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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