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Design and implementation of visual feedback for an active tracking

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Konferencja
International Conference on Computer Vision and Graphics ICCVG 2006 (25-27.09.2006 ; Warsaw, Poland)
Języki publikacji
EN
Abstrakty
EN
Active visual tracking is used to direct the attention of the camera to an object and maintain it in the camera's field of view. A steered camera is used to decrease relative motion of the target in the image plane. This leads to better performance of the mean-shift based tracking algorithm, which requires the object tracked in the current and the previous frame to overlap. A classical PID controller and a nonlinear fuzzy controller have been tested in steering the camera head.
Rocznik
Strony
681--690
Opis fizyczny
Bibliogr. 12 poz., il., wykr.
Twórcy
autor
autor
Bibliografia
  • [1] Kluska J.: Fuzzy control, Publ. House of Rzeszów Univ. of Technology, no. 104, 1992.
  • [2] Lewis R. W.: Programming industrial control systems using IEC 1131-3, IEE London, 1995.
  • [3] Isermann R.: Zur Anwendung der Fuzzy-logic in der Regelungstechnik. Automatisierungstechnische Praxis, vol. 38, no. 11, 24-36, 1995.
  • [4] Barreto J. P., Peixoto P., Batista J., Araujo H.: Evaluation of the robustness of visual behaviors through performance characterization, In Proc. of IEEE Conf. on Rob. and Aut., Workshop on Robust Vision for Vision-Based Control of Motion, 1998.
  • [5] Armstrong B., Wade B.A.: Nonlinear PID control with partial state knowledge: damping without derivatives, Int. J. of Robotics Research, vol. 19, no. 8, 715-731, 2000.
  • [6] Comaniciu D., Ramesh V., Meer P.: Real-time tracking of non-rigid objects using mean shift, In Proc. of IEEE Conf. on Comp. Vision and Patt. Recognition, 142-149, 2000.
  • [7] Comaniciu D., Ramesh V.: Robust detection and tracking of human faces with an active camera, IEEE Int. Workshop on Visual Surveillance, Dublin, 11-18, 2000.
  • [8] Trybus L.: Root locus and frequency designs of industrial PID - a tutorial, IBS PAN, Warsaw, 2002.
  • [9] Matlab User manual. The MathWorks, Inc., 2004.
  • [10] Fritsch J., Schmidt J., Kwolek B.: Kernel particle filter for real-time 3D body tracking in monocular color images, IEEE Int. Conf. on Face and Gesture Rec, Southampton, UK, IEEE Computer Society Press, 567-572, 2004.
  • [11] Zabinski T.: Control of mechatronics systems in real-time, PhD thesis, AGH University of Science and Technology, Cracow, 2004.
  • [12] RT-CON user manual. Inteco, 2004.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0027-0010
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