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Analysis of dynamical properties of object tracking system elements

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Języki publikacji
EN
Abstrakty
EN
The goal of this paper was to determine necessary dynamical conditions for the object tracking task. Developing these conditions required examining dynamical relationships between the UAV, camera head, disturbances and tracked object. This analysis was conducted in order to assess whether a given UAV-camera head set was suitable for a given object tracking task. The study assumed that the UAV was equipped with a flight trajectory control system. We discussed the methods of the dynamical properties description and finding a range of application for a particular set “UAV-camera head”. For each dynamical element of the examined system, we proposed a method of computing the parameters of the simulation model which corresponded to the behaviour of the real elements. In order to describe the range of the applications for the UAV-camera head set, we defined the space Ω – all combinations of the parameters which characterized the dynamics of the disturbance and object. Moreover, this study developed the method of selecting the subspace Ωs which described acceptable parameters of the object’s and disturbance’s dynamics. This paper presented the example of proper object tracking in the case of meeting the dynamical conditions and the example of losing the object in the opposite case.
Rocznik
Strony
479--489
Opis fizyczny
Bibliogr. 20 poz., rys., wykr., tab., fot.
Twórcy
autor
  • Silesian University of Technology, Institute of Automatic Control, 16 Akademicka St., Gliwice, Poland
Bibliografia
  • [1] I.F. Mondragon, P. Campoy, C. Martinez, and M.A. Olivares-Mendez, “3D pose estimation based on planar object tracking for UAVs control”, IEEE International Conference on Robotics and Automation (ICRA) (2010).
  • [2] F. Ivan, Mondragon, A. M. Olivares-Mendez, P. Campoy, C. Martinez, and L. Mejias, “Unmanned aerial vehicles UAVs attitude, height, motion estimation and control using visual systems”, Autonomous Robots 29(1), 17–34, (July 2010).
  • [3] K. E. Wenzel, A. Masselli, and A. Zell, “Tracking and Landing of a Miniature UAV on a Moving Carrier Vehicle”, Journal of Intelligent & Robotic Systems 61, 221–238 (2011).
  • [4] B. Jung and G.S. Sukhatme, “Real-time motion tracking from a mobile robot”, International Journal of Social Robotics 2(1), 63–78 (2010).
  • [5] Y. Lin, Q. Yu, G. Medioni, “Efficient detection and tracking of moving objects in geo-coordinates”, Machine Vision and Alications 22(3), 505–520 (2011).
  • [6] H. Mao, Ch. Yang, G. P. Abousleman, J. Si, “Automated multiple target detection and tracking in UAV videos”, Proc. SPIE 7668, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Alications VII, 76680J, (2010).
  • [7] S. Wu, O. Oreifej, M. Shah, “Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories”, Proceedings of the 2011 International Conference on Computer Vision (2011).
  • [8] Z.H. Khan, I.Y.-H. Gu, “Joint feature correspondences and aearance similarity for robust visual object tracking, information forensics and security”, IEEE Transactions 5(3) (2010).
  • [9] J. H. Choi, D. Lee, H. Bang, “Tracking an unknown moving target from UAV extracting and localizing a moving target with vision sensor based on optical flow”, 5th International Conference on Automation, Robotics and Alications (2011).
  • [10] J. Kim, D. Lee, K. Cho, S. Jo, J. Kim, C. Min, D. Han, S. Cho, “Development of an electro-optical system for small UAV”, Aerospace Science and Technology, 14(7) (2010).
  • [11] P. Kimon, R. Beard, P. Oh, A. Ollero, L.A. Piegl, H. Shim, Selected Papers from the 2nd International Symposium on UAVs, Reno, Springer, 2009.
  • [12] B. Bhanu, C.V. Ravishankar, A.K. Roy-Chowdhury, H. Aghajan, D. Terzopoulos, Distributed Video Sensor Networks, Springer, 2011.
  • [13] J. Luo, “Affective computing and intelligent interaction”, Advances in Intelligent and Soft Computing 137 (2012).
  • [14] Z. Kuś, S. Fraś, “Helicopter control algorithms from the set orientation to the set geographical Location”, Studies in Computational Intelligence 440 (2013).
  • [15] A. Nawrat, Modelowanie i sterowanie bezzałogowych obiektów latających, Wydawnictwo Politechniki Śląskiej, Gliwice, 2009.
  • [16] R. Gessing, Control Fundamentals, Silesian University of Technology, Gliwice, 2004.
  • [17] Z. Kuś, A. Nawrat, “Object tracking in a picture during rapid camera movements”, Studies in Computational Intelligence 481 (2013).
  • [18] Z. Kuś, A. Nawrat, “Object tracking for rapid camera movements in 3D space”, Studies in Computational Intelligence 481 (2013).
  • [19] A. Nawrat et al., “Design and implementation of innovative unmanned mobile platforms to monitor the state border”, Silesian Technical University, Gliwice (2012).
  • [20] K. Jędrasiak, D. Bereska, A. Nawrat, “The prototype of gyro- stabilized UAV gimbal for day-night surveillance”, Advanced Technologies for Intelligent systems of National Border Security (2013).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-f8659d4c-6c2d-4228-9451-1c106cf9cd47
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