2021年9月1日
Real-time action recognition system for elderly people using stereo depth camera
Sensors
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- 巻
- 21
- 号
- 17
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.3390/s21175895
- 出版者・発行元
- Sensors
Smart technologies are necessary for ambient assisted living (AAL) to help family mem-bers, caregivers, and health-care professionals in providing care for elderly people independently. Among these technologies, the current work is proposed as a computer vision-based solution that can monitor the elderly by recognizing actions using a stereo depth camera. In this work, we intro-duce a system that fuses together feature extraction methods from previous works in a novel combination of action recognition. Using depth frame sequences provided by the depth camera, the system localizes people by extracting different regions of interest (ROI) from UV-disparity maps. As for feature vectors, the spatial-temporal features of two action representation maps (depth motion appearance (DMA) and depth motion history (DMH) with a histogram of oriented gradients (HOG) descriptor) are used in combination with the distance-based features, and fused together with the automatic rounding method for action recognition of continuous long frame sequences. The experimental results are tested using random frame sequences from a dataset that was collected at an elder care center, demonstrating that the proposed system can detect various actions in real-time with reasonable recognition rates, regardless of the length of the image sequences.
- リンク情報
- ID情報
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- DOI : 10.3390/s21175895
- ISSN : 1424-8220
- PubMed ID : 34502783
- SCOPUS ID : 85114086056