Abstract
In this paper, the problem of adaptive tracking for the Ground Moving Target (GMT) based on Unmanned Aerial Vehicle (UAV) reconnaissance video is addressed. More specifically, motion model and observation model of GMT are proposed, a novel Kalman Filter (KF) initialization strategy is introduced, and Interacting Multiple Model Kalman Filter (IMMKF) algorithm is adopted for tracking GMT purpose. Simulation results indicate the promising future of our proposed strategies on the area of moving target tracking domain compared to traditional methods.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhao, WB., Chen, W., Zheng, GZ., Huang, KM., Zhao, KJ., Li, YG. (2011). Study on UAV Video Reconnaissance Based Adaptively Tracking Algorithm for the Ground Moving Target. In: Huang, DS., Gan, Y., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing. ICIC 2011. Lecture Notes in Computer Science, vol 6838. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24728-6_38
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DOI: https://doi.org/10.1007/978-3-642-24728-6_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24727-9
Online ISBN: 978-3-642-24728-6
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