Abstract
In this research, we propose the method for detecting moving objects in front of the Segway by detecting running state for the Segway. Running state of the personal vehicle Segway is detected with both an image sensor and an acceleration sensor mounted on the Segway. When objects are moving in front of the Segway, the image sensor can capture the motion while the acceleration sensor shows a different result. By analyzing the difference our method successfully recognizes moving objects from environment.
Chapter PDF
Similar content being viewed by others
References
Segway, http://www.segway.com
Horn, B.K.P., Schunck, B.G.: Determining Optical Flow. Artifical Intelligence 17, 185–204 (1981)
Bouguet, J.Y.: Pyramidal Implementation of the Lucas Kanade Feature Tracker, Intel. Corporation, Microprocessor Research Labs (2000)
Onoguchi, K.: Shadow Elimination Method for Moving Object Detection. In: Proceedings of International Conference on Pattern Recognition (ICPR 1998), pp. 583–587 (1998)
Okada, R., et al.: Obstacle Detection using Progressive Invariant and Vanishing Lines. In: ICCV, pp. 330–337 (2003)
Point Grey Research, http://www.ptgrey.com/products/grasshopper/index.asp
ATR-Promotions, http://www.atr-p.com/sensor01.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Matsui, T., Imanaka, T., Kono, Y. (2009). Front Environment Recognition of Personal Vehicle Using the Image Sensor and Acceleration Sensors for Everyday Computing. In: Jacko, J.A. (eds) Human-Computer Interaction. Ambient, Ubiquitous and Intelligent Interaction. HCI 2009. Lecture Notes in Computer Science, vol 5612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02580-8_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-02580-8_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02579-2
Online ISBN: 978-3-642-02580-8
eBook Packages: Computer ScienceComputer Science (R0)