Abstract
Organized crime now targets one of the most precious wealth in Africa, the wild life. The most affected by the poaching are the Big 5, whose survival requires attention and efforts from everyone, in accordance to his own expertise. Just as Noah (A patriarchal character in Abrahamic religions) was tasked to save every species from the Genesis flood, we envision the NOAH Project to (re)make natural parks as a safe haven. This endeavor requires efficient and effective surveillance which is now facilitated by the use of UAVs. We take this approach further by proposing the use of ICT algorithms to automate surveillance. The proposed intelligent system could inspect a bigger area, recognize potential threats and be manage by non-expert users, reducing the expensive resources that are needed by developing countries to address the problem.
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Global Navigation Satellite System.
References
Ouoba, J., Bissyandé, T.F.: Leveraging the cultural model for opportunistic networking in Sub-Saharan Africa. In: Jonas, K., Rai, I.A., Tchuente, M. (eds.) AFRICOMM 2012. LNICST, vol. 119, pp. 163–173. Springer, Heidelberg (2013)
Olivares-Mendez, M.A., Campoy, P., Martinez, C., Mondragon, I.: A pan-tilt camera fuzzy vision controller on an unmanned aerial vehicle. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009, pp. 2879–2884, October 2009
Dobrokhodov, V.N., Kaminer, I.I., Jones, K.D., Ghabcheloo, R.: Vision-based tracking and motion estimation for moving targets using small UAVs. In: American Control Conference, 2006, p. 6, June 2006
Shakernia, O., Ma, Y., Koo, T.J., John, T., Sastry, S.: Landing an unmanned air vehicle: vision based motion estimation and nonlinear control. Asian J. Control 1, 128–145 (1999)
Saripalli, S., Montgomery, J.F., Sukhatme, G.S.: Vision-based autonomous landing of an unmanned aerial vehicle. In: IEEE International Conference on Robotics and Automation, 2002 Proceedings, ICRA ’02, vol. 3, pp. 2799–2804 (2002)
Saripalli, S., Sukhatme, G.S.: Landing a helicopter on a moving target. In: Proceedings of IEEE International Conference on Robotics and Automation, pp. 2030–2035, Rome, Italy, April 2007
Olivares-Mendez, M.A., Mondragon, I.F., Campoy, P., Martinez, C.: Fuzzy controller for uav-landing task using 3d-position visual estimation. In: 2010 IEEE International Conference on Fuzzy Systems (FUZZ), pp. 1–8, July 2010
Olivares-Mendez, M.A., Mejias, L., Campoy, P., Mellado-Bataller, I.: Cross-entropy optimization for scaling factors of a fuzzy controller: a see-and-avoid approach for unmanned aerial systems. J. Intell. Robot. Syst. 69, 189–205 (2013)
Zhihai, H., Lyer, R.V., Chandler, P.R.: Vision-based UAV flight control and obstacle avoidance. In: Proceedings of the American Control Conference, p. 5, June 2006
Beyeler, A., Zufferey, J.-C., Floreano, D.: Vision-based control of near-obstacle fight. Auton. Robots 27(3), 201–219 (2009)
Spots-air rangers. http://www.spots.org.za/ (2013)
Shadowview. http://www.shadowview.org (2013)
De Boer, P.-T., Kroese, D.P., Mannor, S., Rubinstein, R.Y.: A tutorial on the cross-entropy method. Ann. Oper. Res. 134(1), 19–67 (2005)
Bolles, R.C., Fischler, M.A.: A ransac-based approach to model fitting and its application to finding cylinders in range data. In: Proceedings of the 7th International Joint Conference on Artificial Intelligence - Volume 2, IJCAI’81, pp. 637–643, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc. (1981)
Hough, P.V.C.: Method and means of recognizing complex patterns (1962)
Duda, R.O., Hart, P.E.: Use of the hough transformation to detect lines and curves in pictures. Commun. ACM 15(1), 11–15 (1972)
Ballard, D.H.: Generalizing the hough transform to detect arbitrary shapes. In: Fischler, M.A., Firschein, O. (eds.) Readings in Computer Vision: Issues, Problems, Principles, and Paradigms, pp. 714–725. Morgan Kaufmann Publishers Inc., San Francisco (1987)
Chickanosky, V., Mirchandani, G.: Wreath products for edge detection. In: Proceedings ICASSP 1998, pp. 2953–2956 (1998)
Ying-Dong, Q., Cheng-Song, C., San-Ben, C., Jin-Quan, L.: A fast subpixel edge detection method using sobel-zernike moments operator. Image Vis. Comput. 23(1), 11–17 (2005)
Kamgar-Parsi, B., Rosenfeld, A.: Optimally isotropic laplacian operator. Trans. Image Proc. 8(10), 1467–1472 (1999)
Ding, L., Goshtasby, A.: On the canny edge detector. Pattern Recogn. 34, 721–725 (2001)
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Olivares-Mendez, M.A., Bissyandé, T.F., Somasundar, K., Klein, J., Voos, H., Le Traon, Y. (2014). The NOAH Project: Giving a Chance to Threatened Species in Africa with UAVs. In: Bissyandé, T., van Stam, G. (eds) e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 135. Springer, Cham. https://doi.org/10.1007/978-3-319-08368-1_24
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