Increasing efficiency of Hausdorff approach for tracking real scenes with complex environments

Proceedings - 11th International Conference on Image Analysis and Processing, ICIAP 2001

Volumn , Issue , 2001, Pages 131-136

  Sanchez Nielsen, Elena ^a   Lorenzo Navarro, J ^a   Hernandez Tejera, M ^b  

^a UNIVERSIDAD DE LA LAGUNA   (Spain)

^b UNIVERSITY OF LAS PALMAS DE GRAN CANARIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS;

BACKGROUND CONDITIONS; COMPLEX ENVIRONMENTS; COMPUTATIONAL COSTS; GLOBAL MEASURES; MATCHING PROCESS; SEARCH STRATEGIES; TRACKING MOVING OBJECTS; TRACKING PROCESS;

COMPUTER VISION;

EID: 33748107959     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIAP.2001.956997     Document Type: Conference Paper

References (10)

1. J.F. Canny: A computational approach to edge detection. IEEE Trans. Pat. And Mach. Intel., 8(6):34-43, 1986.
2. Hunttenlocher D.P., Noh J.J., and Ruckelidge W.J.: Tracking non-rigid objects in complex scenes. In Proceedings of Fourth International Conference on Computer Vision, Berlin, Germany (1993) 93-101.
3. Mendenhall, W. Introduction to Probability and Statistics. 8a. ed. Boston: Duxbury Press, 1990.
4. Paglieroni, D.W.: Distance Transforms: In Computer Vision, Graphics and Image Processing: Graphical Models and Image Processing (1992) 54:56-74.
5. C. Parra, R. Murrieta-Cid, M. Devy, M. Briot: 3-D Modelling and Robot Localization from Visual and Range Data in Natural Scenes. ICVS'99. Lecture Notes in Computer Science 1542, Springer Verlag 450-468.
6. Rucklidge W. J.: Efficient Visual Recognition Using the Hausdorff Distance. Springer-Verlag (1996).
7. Sanchez-Nielsen E, Hernandez Tejera M: "Tracking moving people with Hausdorff distance-based matching using an adjustable-size search window" Proceedings of the V Ibero American Symposium on Pattern Recognition. SIARP'2000, pp.501-516, 11-13 September 2000, Lisbon (Portugal).
8. E. Sanchez-Nielsen, M. Hernandez-Tejera: "Tracking moving objects using the Hausdorff distance. A method and experiments" Frontiers in Artificial Intelligence and Applications: Pattern Recognition and Applications, M.I. Torres and A. Sanfeliu (eds.), pp. 164-172, IOS Press, Amsterdam (2000).
9. Sanchez Nielsen E., Hernandez Tejera M.: Tracking of People using a Hausdorff Distance-Based Matching Approach with Prediction. In Proceedings of the VHI Spanish Symposium on Artificial Intelligence. Murcia, Spain (1999) 1-8.
10. C. Schlegel, J. Illmann, H. Jaberg, M. Schuster, R. Worz: Integrating Vision Based Behaviours with an Autonomous Robot (1999) ICVS'99. Lecture Notes in Computer Science 1542, Springer Verlag 1-20.