Robust statistics for 3D object tracking

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2006, Issue , 2006, Pages 2403-2408

  Preisig, Peter ^a   Kragic, Danica ^b  

^a ETH ZURICH   (Switzerland)

^b ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

EDGE DETECTION; LIGHTING; MEASUREMENT THEORY; ROBUSTNESS (CONTROL SYSTEMS); ROTATION; STATISTICAL METHODS;

GROUND TRUTH; OBJECT TRACKING; POSE PARAMETERS; ROBUST STATISTICS;

TRACKING (POSITION);

EID: 33845617225     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2006.1642062     Document Type: Conference Paper

References (18)

1. M. Armstrong and A. Zisserman, "Robust object tracking," in Proceedings of the Asian Conference on Computer Vision, vol. I, pp. 58-61, 1995.
2. D. Koller, K. Daniilidis, and H. Nagel, "Model-based object tracking in monocular image sequences of road traffic scenes," International Journal of Computer Vision, vol. 10, no. 3, pp. 257-281, 1993.
3. T. Drummond and R. Cipolla, "Real-time tracking of multiple articulated structures in multiple views," in Proceedings of the 6th European Conference on Computer Vision, ECCV'00, vol. 2, pp. 20-36, 2000.
4. D. Löwe, Perceptual Organisation and Visual Recognition. Robotics: Vision, Manipulation and Sensors, Dordrecht, NL: Kluwer Academic Publishers, 1985. ISBN 0-89838-172-X.
5. P. Wunsch and G. Hirzinger, "Real-time visual tracking of 3D objects with dynamic handling of occlusion," in Proceedings of the IEEE International Conference on Robotics and Automation, ICRA '97, vol. 2, pp. 2868-2873, 1997.
6. M. Vincze, M. Ayromlou, and W. Kubinger, "Improving the robustness of image-based tracking to control 3D robot motions," in Proceedings of the International Conference on Image Analysis and Processing, pp. 274-279, 1999.
7. E. Marchand and F. Chaumette, "Feature tracking for visual servoing purposes," Robotics and Autonomous Systems, vol. 52, no. 1, pp. 53-70, 2005.
8. V. Kyrki and D. Kragic, "Integration of model-based and model-free cues for visual object tracking in 3d," in IEEE International Conference on Robotics and Automation, ICRA'05, pp. 1566-1572, 2005.
9. O. Chum, J. Matas, and J. Kittler, "Locally optimized ransac," in Pattern Recognition, Lecture Notes in Computer Science 2781, pp. 236-243, 2003.
10. D. Kragic and H. Christensen, "Confluence of parameters in model based tracking," Proceedings. IEEE International Conference on Robotics and Automation, ICRA'03, vol. 3, pp. 3485 - 3490, September 2003.
11. H. Wang and D. Suter, "Robust adaptive-scale parametric model estimation for computer vision," IEEE Trans. on Patt. Anal. and Machine Intell., vol. 26, no. 11, 2004.
12. F. Jurie and M. Dhome, "Real time tracking of 3D objects: an efficient and robust approach," Pattern Recognition, vol. 35, pp. 317-328, 2002.
13. C. Harris, "Tracking with rigid models," in Active Vision (A. Blake and A. Yuille, eds.), ch. 4, pp. 59-73, MIT Press, 1992.
14. M. Fischler and R. Bolles, "Random sample concensus: A paradigm for model fitting with applications to image analysis and automated cartography," Comm. ACM, vol. 24, pp. 381-395, 1981.
15. D. G. Lowe, "Robust model-based motion tracking through the integration of search and estimation," Int. J. of Comp. Vis., vol. 8, no. 2, pp. 113-122, 1992.
16. P. Wunsch and G. Hirzinger, "Real-time visual tracking of 3-d objects with dynamic handling of occlusion," in IEEE Int. Conf. on Robotics and Automation, ICRA'97, (Albuquerque, New Mexico, USA), pp. 2868-2873, Apr. 1997.
17. J. Selig, Geometrical methods in robotics. Springer-Verlag, New York, 1996.
18. P. Huber, Robust statistics. No. QA276.H785, ISBN 0-471-41805-6 in Wiley series in probability and mathematical statistics, USA: John Wiley and Sons, Inc., 1981.