Abstract
In machine vision and robotic system, moving object tracking is an important issue. Much research effort has been put to subtract moving objects from background and find out the location, speed and features of the objects. Variety of image processing methods and variety of sensors have been applied. Especially, radar and acoustic radar system have a good capability in detecting the position and speed of objects. Usually, long-range, high accurate radars are not equipped into robotic system due to the large size and high production cost. In this chapter, we first review radars which are used to detected human, vehicle and other objects in our daily lives. Then we proposed a low cost crossed linear arrays using acoustic Doppler radar beamforming method. Designs and methods are both described in theory and practical hardware. The results show that the proposed method has a good ability to detect a single moving target.
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References
Boulic, R., Thalmann, N.M., Thalmann, D.: A global human walking model with real-time kinematic personification. Vis. Comput. 6(6), 344–358 (1990)
Buccella, C., De Santis, V., Feliziani, M., Tognolatti, P.: Finite element modelling of a thin-film bulk acoustic resonator (FBAR). COMPEL: Int. J. Comput. Math. Electr. Electron. Eng. 6, 1296–1306 (2008)
Geisheimer, J.L., Marshall, W.S., Greneker, E.: A continuous-wave (CW) radar for gait analysis. In: Conference Record of the Thirty-Fifth Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 834–838 (2001)
Georgiou, J., Pouliquen, P., Cassidy, A.: A multimodal-corpus data collection system for cognitive acoustic scene analysis. In: 2011 45th Annual Conference on Information Sciences and Systems (CISS), pp. 1–6 (2011)
Gurbuz, S., Melvin, W., Williams, D.: Detection and identification of human targets in radar data. In: Ivan, K. (ed.) Proceedings of the SPIE Signal Processing, Sensor Fusion, and Target Recognition XVI, vol. 6567, 65670I (2007)
Hewish, M.: The last line of defense: reducing the vulnerability of fixed installations. Jane’s Int. Def. Rev. 32(10), 28–30 (1999)
Kalgaonkar, K., Smaragdis, P., Raj, B.: Sensor and data systems, audio-assisted cameras and acoustic Doppler sensors. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 2–3 (2007)
Liu, L., Popescu, M., Skubic, M., Rantz, M.: Automatic fall detection based on Doppler radar motion signature. In: 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), pp. 222–225 (2011)
Nebabin, V.G., Sergeev, V.V.: Methods and techniques of radar recognition. Moscow Izdatel Radio Sviaz 1 (1984)
Otero, M.: Application of a continuous wave radar for human gait recognition. In: Ivan, K. (ed.) Proceedings of the SPIE Signal Processing, Sensor Fusion, and Target Recognition XIV, pp. 538–548 (2005). http://72.52.208.92/~gbpprorg/mil/cavity/05_0330.pdf
Shi, J., Braun, R.: Crossed linear arrays using Doppler radar beam-forming for detecting single moving targets. In: Proceedings of the 2nd Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2014, p. 118 (2014)
van Dorp, P., Groen, F.C.A.: Human walking estimation with radar. In: IEE Proceedings of Radar, Sonar and Navigation, vol. 150, pp. 356–365 (2003). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1249155
Zhang, Z., Pouliquen, P.O., Waxman, A., Andreou, A.G.: Acoustic micro-Doppler radar for human gait imaging. J. Acoust. Soc. Am. 121(3), 110–113 (2007)
Zhang, Z., Pouliquen, P.O., Waxmant, A., Andreou, A.G.: Acoustic micro-Doppler gait signatures of humans and animals. In: 41st Annual Conference on Information Sciences and Systems, CISS’07, 14–16 March 2007, pp. 627–630 (2007)
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Shi, J., Braun, R. (2015). Crossed Linear Arrays Using Doppler Radar Beamforming for Detecting Single Moving Targets. In: Borowik, G., Chaczko, Z., Jacak, W., Łuba, T. (eds) Computational Intelligence and Efficiency in Engineering Systems. Studies in Computational Intelligence, vol 595. Springer, Cham. https://doi.org/10.1007/978-3-319-15720-7_17
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DOI: https://doi.org/10.1007/978-3-319-15720-7_17
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