Particle filter-based tracking of surgical instruments in endoscopic images;Partikelfilter-basiertes tracking chirurgischer instrumente in endoskopbildern

Informatik aktuell

Volumn , Issue , 2006, Pages 414-418

  Rilk, Markus E ^a   Winkelbach, Simon ^a   Wahl, Friedrich M ^a  

^a TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84879864285     PISSN: 1431472X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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2. Zhang X, Payandeh S. Application of Visual Tracking for Robot-Assisted Laparoscopic Surgery. Journal of Robotic Systems 2002;19(7):315-328.
3. Matthes J, Groll L, Jakel J. Optimale Fuhrung von Endoskopen mit redundanter Kinematik. Automatisierungstechnik 2001;49(4):168-176.
4. Boisvert J, Cheriet F, Grimard G. Segmentation of Laparoscopic Images for Computer Assisted Surgery. In: 13th Scandinavian Conference on Image Analysis; 2003. p. 587-594.
5. Uecker DR, Lee C, Wang YF, Wang Y. Automated Instrument Tracking in Robotically-Assisted Laparoscopic Surgery. Journal of Image Guided Surgery 308- 325;1(6):1995.
6. Climent J, Mares P. Automatic Instrument Localization in Laparoscopic Surgery. Electronic Letters on Computer Vision and Image Analysis 2004;4(1):21-31.
7. Isard M, Blake A. CONDENSATION - Conditional Density Propagation for Visual Tracking. International Journal of Computer Vision 1998;29(1):5-28.
8. Lichtenauer J, Reinders MJT, Hendriks EA. Influence of the Observation Likelihood Function on Particle Filtering Performance in Tracking Applications. In: International Conf. on Automatic Face and Gesture Recognition; 2004. p. 767-772.