Abstract
In this work we address the problem of object tracking in a largely unknown dynamic environment under the additional constraint of real-time operation and limited computational power. The main design directives remain that of real time execution and low price, high availability components. It is in a sense an investigation for the minimum required hardware and algorithmic complexity to accomplish the desired tasks. We present a system that is based on simple techniques such as template matching adapted for use in a dynamically changing environment. After development, the system was evaluated as to its suitability in a traffic monitoring application where it demonstrated adequate performance.
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References
Unmanned systems roadmap: 2007–2032. Office of the Secretary of Defense (2007)
Vision hardware. University of Southern California. http://www-robotics.usc.edu/?avatar/vision_hw.htm (2004). Accessed 27 Jan 2005
Mejias, L., Saripalli, S., Sukhatme, G., Cervera, P.: Detection and tracking of external features in an urban environment using an autonomous helicopter. In: IEEE International Conference on Robotics and Automation (2005)
Hrabar, S., Sukhatme, G.S.:Acomparison of two camera configurations for optic-flow based navigation of a UAV through urban canyons. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2673–2680 (2004)
Sattigeri, R., Calise, A.J.: An adaptive approach to vision based information control. In: Guidance, Navigation and Control Conference, no. AIAA-2003-5727, Austin, TX (2003)
Enhanced Vision System (EVS) overview, CMC electronics. www.cmcelectronics.ca/En/Prodserv/Commav/commav_evs_overview_en.html (2001). Accessed 22 Jan 2005
Groven, J., Holk, E., Humbert, C., Krall, J., Schue, D.: Rose-Hulman institute of technology autonomous helicopter for the 2004 international aerial robotics competition (2004)
Nordberg, K., Doherty, P., Farneback, G., Forssen, P.-E., Granlund, G., Moe, A., Wiklund, J.: Vision for a UAV helicopter. In: 2002 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems—IROS 2002. Proc. Workshop WS6 Aerial Robotics, pp. 29–34, Lausanne (2002)
Anderson, J.D., Lee, D.-J., Edwards, B., Archibald, J., Greco, C.R.: Real-time feature tracking on an embedded vision sensor for small vision-guided unmanned vehicles, pp. 55–60. http://ieeexplore.ieee.org/iel5/4269829/4269830/04269882.pdf (2007). Accessed 20 July 2007
Sastry, V.: Vision based detection of autonomous vehicles for pursuit evasion games. In: 15th Triennial World Congress, Barcelona, Spain (2002)
Hrabar, S., Sukhatme, G.S.: Omnidirectional vision for an autonomous helicopter. In: Proceedings of IEEE International Conference on Robotics and Automation, pp. 3602–3609 (2003)
Saripalli, S., Montgomery, J.F., Sukhatme, G.S.: Vision-based autonomous landing of an unmanned aerial vehicle. In: Proceedings of IEEE International Conference on Robotics and Automation, pp. 2799–2804 (2002)
Woodley, B.R., Jones, H.L., LeMaster, E.A., Frew, E.W., Rock, S.M.: Carrier phase GPS and computer vision for control of an autonomous helicopter. In: IONGPS-96, Kansas City, Missouri (1996)
Debitetto, J.: Modeling and simulation for small autonomous helicopter development. In: AIAA-1997-3511 Modeling and Simulation Technologies Conference, New Orleans, LA (1997)
Woodley, B., Jones, H., Frew, E., LeMaster, E., Rock, S.: A contestant in the 1997 international aerial robotics competition. http://sun-valley.stanford.edu/papers/WoodleyJFLR:97.pdf (1997)
Holifield, N., Lallinger, J., Underwood, G.: International aerial robotics competition 2004. University of Texas at Austin, IEEE Robot Team Aerial Robotics Project 2004 http://iarc1.ece.utexas.edu/~lynca/final_documentation/utiarc 2004.pdf (2004)
Burleson, W., Salhany, W., Hudak, J.: Southern Polytechnic State University autonomous remote reconnaissance system. http://a-robotics.spsu.edu/SPSU_paper2005.pdf (2005)
Musial, M., Brandenburg, U.W., Hommel, G.: MARVIN—technische universität Berlin’s flying robot for the IARC millennial event. In: Proc. Symposium of the Association for Unmanned Vehicle Systems 2000, Orlando, Florida, USA (2000)
RMAX Type I/Type II G, Yamaha. http://www.yamahamotor.co.jp/global/business/sky/lineup/rmax/index.html (2004). Accessed 27 Jan 2005
Ludington, B., Reinmann, J., Vachtsevanos, G.: Target tracking and adversarial reasoning for unmanned aerial vehicles. In: Aerospace Conference, 2007 IEEE volume, Issue, pp. 1–17, 3–10 March 2007
Mejias, L., Saripalli, S., Campoy, P., Sukhatme, G.: Visual servoing of an autonomous helicopter in urban areas using feature tracking. J. Field Robot. 23(3/4), 185–199, Wiley Periodicals (2006)
Mejias, L., Correa, J.F., Mondragon, I., Campoy, P.: COLIBRI: a vision-guided UAV for surveillance and visual inspection. In: Proceedings IEEE International Conference on Robotics and Automation, pp. 2760–2761, Rome, Italy (2007)
Douglas, D.H., Peucker, T.K.: Algorithms for the reduction of number of points required to represent a digitized line or its caricature. Can. Cartogr. 10(2), 112–122 (1973)
Bell, W., Felzenszwalb, P., Huttenlocher, D.: Detection and long term tracking of moving objects in aerial video (1999)
Shi, J., Tomasi, C.: Good features to track. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 593–600 (1994)
Kanade, T., Amidi, O., Ke, Q.: Real-time and 3D vision for autonomous small and micro air vehicles. In: 43rd IEEE Conference on Decision and Control (CDC 2004) (2004)
Dobrokhodov, V.N., Kaminer, I.I., Jones, K.D., Ghabcheloo, R.: Vision-based tracking and motion estimation for moving targets using small UAVs. In: Proceedings of the 2006 American Control Conference, pp. 1428–1433, Minneapolis, Minnesota, USA, 14–16 June 2006
Mondragon, I.F., Campoy, P., Correa, J.F., Mejias, L.: Visual model feature tracking for UAV control. In: IEEE International Symposium on Intelligent Signal Processing, pp. 1–6 (2007)
Saripalli, S., Montgomery, J.F., Sukhatme, G.S.: Visually guided landing of an unmanned aerial vehicle. IEEE Trans. Robot. Autom. 19(3), 371–380 (2003)
Wan, C.L., Dickinson, K.W.: Computer vision and neural networks for traffic monitoring. In: Road Traffic Monitoring 1992 (IEE Conf. Pub. 355), p. 143 (1992)
Ollero, A., Ferruz, J., Caballero, F., Hurtado, S., Merino, L.: Motion compensation and object detection for autonomous helicopter visual navigation in the COMETS system. In: IEEE International Conference on Robotics and Automation, New Orleans, LA (USA) (2004)
Ruffier, F., Franceschini, N.: Visually guided micro-aerial vehicle: automatic take off, terrain following, landing and wind reaction. In: Proceedings. ICRA’ 04. 2004 IEEE International Conference on Robotics and Automation, vol. 3, pp. 2339–2346, 26 Apr–1 May 2004
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Kontitsis, M., Valavanis, K. (2009). A Cost Effective Tracking System for Small Unmanned Aerial Systems. In: Valavanis, K.P., Beard, R., Oh, P., Ollero, A., Piegl, L.A., Shim, H. (eds) Selected papers from the 2nd International Symposium on UAVs, Reno, Nevada, U.S.A. June 8–10, 2009. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8764-5_9
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DOI: https://doi.org/10.1007/978-90-481-8764-5_9
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