Real-time hierarchical swarms for rapid adaptive multi-level pattern detection and tracking

Proceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007

Volumn , Issue , 2007, Pages 234-241

  Scheutz, Matthias ^a  

^a University of Notre Dame

Author keywords

[No Author keywords available]

Indexed keywords

FACE RECOGNITION; FEATURE EXTRACTION; GLOBAL OPTIMIZATION; HIERARCHICAL SYSTEMS; PARAMETER ESTIMATION; REAL TIME SYSTEMS;

FITNESS EVALUATIONS; PARTICLE SWARM OPTIMIZATION ALGORITHMS; RAPID ADAPTIVE MULTI LEVEL PATTERN DETECTION; REAL TIME HIERARCHICAL SWARMS;

ALGORITHMS;

EID: 34548713001     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIS.2007.367943     Document Type: Conference Paper

References (18)

1. J. Canny. A computational approach for edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6):679-698, 1986.
2. John J. Grefenstette. Evolvability in dynamic fitness landscapes: A genetic algorithm approach. In Proceeding of the 1999 Congress on Evolutionary Computation, pages 2031-2038. IEEE Press, 1999.
3. Rien-Lien Hsu, Mohamed Abdel-Mottaleb, and Anil K. Jain. Face detection in color images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(5):696-706, 2002.
4. Stefan Janson and Martin Middendorf. A heirarchical particle swarm optimizer and its adaptive variant. IEEE Transactions on Systems, Man, and Cybernetics, 35(6): 1272-1282, 2005.
5. J. Kennedy and R. C. Eberhart. Particle swarm optimization. In Proc. IEEE Int. Conf. Neural Networks, volume 4, pages 1942-1948, 1995.
6. J. Kennedy, R. C. Eberhart, and Y. Shi. Swarm Intelligence. Academic Press, 2001.
7. Christopher Middendorff and Matthias Scheutz. Real-time evolving swarms for rapid pattern detection and tracking. In ALIFE X, 2006.
8. Tanya Mirzayans, Nitin Parimi, Patrick Pilarski, Chris Backhouse, Loren Scott-Wyard, and Petr Musilek. A swarm-based system for object recognition. Neural Network World, 15(3):243-255, 2005.
9. M. Omran, A. P. Engelbrecht, and A. Salman. Particle swarm optimization method for image clustering. International Journal of Pattern Recognition and Artificial Intelligence, 19(3):297-321, 2005.
10. Vitorino Ramos and F. Almeida. Artificial ant colonies in digital image habitats: A mass behavior effect study on pattern recognition. In M. Dorigo, M. Middendorf, and T. Stuzle, editors, From Ant Colonies to Artificial Ants - 2nd Int. Wkshp. on Ant Algorithms, pages 113116, 2000.
11. Vitorino Ramos, Carlos Fernandez, and Agostinho C. Rosa. Social cognitive maps, swarm collective perception and distributed search on dynamic landscapes. Brains, Minds and Media - Journal of New Media in Neural and Cognitive Science, 2005.
12. F. van den Bergh. An analysis of particle swarm optimizers. PhD thesis, University of Pretoria, 2002.
13. F. van den Bergh and A. P. Engelbrecht. A new locally convergent particle swarm optimizer. In Proc. IEEE Conf. Systems, Man, and Cybernetics, 2002.
14. Mark S. Voss. Social programming using functional swarm optimization. In Proceedings of the IEEE Swarm Intelligence Symposium 2003, pages 103-109, 2003.
15. Charles E. White, II, Gene A. Tagliarini, and Sridhar Narayan. An algorithm for swarm-based color image segmentation. In Proceedings of the IEEE SOUTHEASTCON - 2004 "Engineering Connects", pages 84-89, 2004.
16. X. Zhuang. Edge feature extraction in digital images with die ant colony system. In IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, pages 133-136, 2004.
17. X. Zhuang. Image feature extraction with the perceptual graph based on the ant colony system. In 2004 IEEE International Conference on Systems, Man and Cybernetics, pages 6354-6359, 2004.
18. X. Zhuang. Image segmentation by ant swarm - a case study of digital signal processing with biological mechanism of intelligence. In 2004 IEEE 11th Digital Signal Processing Workshop, pages 143-146, 2004.