Method for Indoor Human Position Tracking Using Multiple Depth Sensors
In this article a positioning method for covering room area was proposed. Multiple Kinect depth sensors were used to work around narrow field of view of one Kinect sensor and cover the room area to prevent blind spots. Affine transformation was used to convert coordinates of the Kinect sensors to the coordinates of the room. Indoor human tracking application was developed in research. During application testing, average aggregated error of 15cm was determined.
Toplan, E. ; Bilgisayar Muhendisligi Bolumu, Bogazici Univ., Istanbul, Turkey ; Ersoy, C. „RFID based indoor location determination for elderly tracking“
F. Seco, C. Plagemann, A. R. Jiménez, and W. Burgard, “Improving RFID-based indoor positioning accuracy using Gaussian processes,” in Indoor Positioning and Indoor Navigation (IPIN), 2010 International Conference on, 2010, pp. 1–8.
H. Schweinzer and M. Syafrudin, “LOSNUS: An ultrasonic system enabling high accuracy and secure TDoA locating of numerous devices,” in 2010 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2010, pp. 1–8.
R. Battiti, N. T. Le, and A. Villani, “Location-aware computing: a neural network model for determining location in wireless LANs,” 2002.
C. Lukianto and H. Sternberg, “STEPPING–Smartphone-Based Portable Pedestrian Indoor Navigation,” Mmt, 2011.
R. Bodor, B. Jackson, and N. Papanikolopoulos, “Visionbased human tracking and activity recognition”, in Proc. Of The 11th Mediterranean Conference on Control and Automation, 2003.
J. Krumm, S. Harris, B. Meyers, B. Brumitt, M. Hale, and S. Shafer, “Multi-camera multi-person tracking for easyliving,” in Visual Surveillance, 2000. Proceedings. Third IEEE International Workshop on, 2000, pp. 3–10.
L. Xia, C.-C. Chen, and J.K. Aggarwal. (2011). “Human Detection Using Depth Information by Kinect", International Workshop on Human Activity Understanding from 3D Data in conjunction with CVPR (HAU3D), Colorado Springs, CO.
Muhamad Risqi Utama Saputra, Widyawan, Guntur Dharma Putra, Paulus Insap Santosa
Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada „Indoor Human Tracking Application Using Multiple Depth-Cameras“.
“How to map points between 2D coordinate systems” [online] http://msdn.microsoft.com/en-us/library/ie/jj635757%28v=vs.85%29.aspx [Accessed: 05-Mar-2019].
“Kinect for Windows Features“. [Online]. https://blogs.microsoft.com/ai/see-whats-new-in-kinect-for-windows-sdk-1-8/ [Accessed: 05-Mar -2019].
“Kinect for Windows SDK“. [Online]. https://www.microsoft.com/en-us/download/details.aspx?id=40278 [Accessed: 05-Mar -2019].
Copyright (c) 2019 EPH - International Journal of Science And Engineering (ISSN: 2454 - 2016)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
- All contributor(s) agree to transfer the copyright of this article to EPH Journal.
- EPH Journal will have all the rights to distribute, share, sell, modify this research article with proper reference of the contributors.
- EPH Journal will have the right to edit or completely remove the published article on any misconduct happening.