Improvement of the fail-safe characteristics in motion analysis using adaptive technique

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2905, Issue , 2003, Pages 104-112

  Al Hamadi, Ayoub ^a   Mecke, Ruediger ^a   Michaelis, Bernd ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE MATCHING; INFORMATION FILTERING;

ADAPTIVE TECHNIQUE; AUTOMATIC EXTRACTION; BRIGHTNESS VARIATIONS; COLOUR INFORMATIONS; INTENSITY-BASED METHODS; NEURAL RECOGNITION; PARTIAL OCCLUSIONS; RECURSIVE FILTERING ALGORITHM;

PATTERN RECOGNITION;

EID: 35248887203     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24586-5_12     Document Type: Article

References (10)

1. th European Conference on Computer Vision, pages 485-494, Cambridge, April 1996, Springer-Verlag.
2. Dcrichc R. and Faugeras O.: Tracking line segments. IVC; 8(4):261-270,1990
3. th European conference on computer vision; Springer-Verlag, June-1998. Freiburg.
4. Blake A., Curwen R. and Zisserman A: A framework for spatio-temporal control in the tracking of visual contours; Inter. Journal of Computer Vision; 11(2):127-145; 1993.
5. th International Conference on Pattern Recognition; Barcelona 2000; Sept; III; pp.1137-1140.
6. Devaux J.C.; Gouton P.; Truchetet F.: A erial colour image segmentation by Karhunen-Loeve Transform ; ICPR 2000; Barcelona 2000; Volume 1; pp. 309-312.
7. Al-Hamadi A.; Michaelis B.: Fulfilment of the demand for robustness and flexibility in the motion analysis systems by adaptive colour space transformation; CGIV'2002; April, 2002; Poitiers; France; pp.540-545.
8. Sorenson, H. W.: Kalman Filtering: Theory and Application. IEEE Press, ISBN 0-87942-191-6, 1985.
9. Maybeck, P S.: Stochastic Models, Estimation and Control. Acad. Press Inc., 1-3, 1982.
10. th ICPR 1998, Brisbane, Australien, pp. 663-667.