Abstract
This paper proposes a human motion tracking approach for daily life surveillance in a distributed wireless sensor network using ultrasonic range sensors.Because the human target often moves with high non linearity, the proposed approach applies the unscented Kalman filter (UKF) technique. Experimental results in a real human motion tracking system show that the proposed approach can perform better tracking accuracy compared to the most recent human motion tracking scheme in the real test-bed implementation.
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Zhang, S., Xiao, W. (2012). Human Tracking for Daily Life Surveillance Based on a Wireless Sensor Network. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_59
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DOI: https://doi.org/10.1007/978-3-642-31869-6_59
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