Abstract
Studying the traditional robot visual tracking technology on human head movement trajectory based on two-dimensional image, this paper summarizes the shortcomings of the traditional robot visual tracking technology. By combining three-dimensional somatosensory information technology and the Hidden Markov Model, this paper applies the technology of robot visual tracking to human head movement trajectory. In detail, this paper describes the algorithm and the realization scheme of the human head movement trajectory identification based on three-dimensional somatosensory information technology. Finally, through comparing with the results of the recognition experiment, we verify that the method of human head movement trajectory identification based on three-dimensional somatosensory information technology has more accurate recognition rate and better robustness.
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References
Liying C (2012) Design and implementation of Human-Robot interactive demonstration system based on Kinect. In: 24th CCDC, pp 971–975
Yiqiang Q, Kazumasa S. (2011) EK-means tracker: a pixel-wise tracking algorithm using Kinect. In: 3rd Chinese conference on intelligent visual surveillance, pp 277–80
Sang BL (2011) Real-time stereo view generation using Kinect depth camera. In: Asia-pacific signal and information processing association annual summit and conference
Omer R, Ayoub A-H, Bernd M (2011) Robust hand posture recognition with micro and macro level features using Kinect. In: IEEE international conference on intelligent computing and intelligent systems
Acknowledgments
This work was supported by National Nature Science Foundation of P.R. China (No. 60973063, 61272357), the Fundamental Research Funds for the Central Universities (FRF-TP-09-016B) and supported by the new century personnel plan for the Ministry of Education (NCET-10-0221), China Post-doctoral Science Foundation (No. 20100480199).
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Chang, Z., Ban, X., Liu, X. (2014). Recognition of Human Head Movement Trajectory Based on Three-Dimensional Somatosensory Technology. In: Sun, F., Li, T., Li, H. (eds) Knowledge Engineering and Management. Advances in Intelligent Systems and Computing, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37832-4_55
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DOI: https://doi.org/10.1007/978-3-642-37832-4_55
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