- 期刊
- OpenAccess
Motion Detection with Local Linear Embedding and its Application to Indoor Device-Free Human Trajectory Tracking
摘要
Device-free indoor human trajectory tracking is critical to support health care applications for elderly people. Many device-free localization algorithms depend on expensive hardware to achieve tracking accuracy. In contrast to such algorithms, this paper proposes a new device-free human trajectory tracking algorithm for indoor environments based on channel state information that is extracted from a Wi-Fi network interface card, which is a low-cost component. The proposed algorithm first uses the characteristics of locally linear embedding to detect whether a person is moving and applies quadratic discriminant analysis to determine the new location of the person. The determined locations of the person are connected to form a trajectory. Experimental results revealed that the proposed algorithm provides an effective solution for passive human trajectory tracking.
延伸閱讀
- 林品齊（2014）。Automatic Motion Trajectory Analysis for Dual Human Interaction Using Video Sequences〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201400525
- 梁峰銘（2008）。Moving Object Detection and Tracking〔碩士論文，淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2008.00308
- 黃逸展（2013）。Detection and Tracking of Moving Image Features Using Moving Cameras〔碩士論文，淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2013.01108
- Chao, F. Y. (2016). Moving Object Detection and Recognition using Local Ternary Pattern in Surveillance Video [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201702825
- Lazar, A. A., Ukani, N. H., & Zhou, Y. (2016). A Motion Detection Algorithm Using Local Phase Information. Computational Intelligence and Neuroscience, 2016(), 606-625. https://doi.org/10.1155/2016/7915245