A fast visual search and recognition mechanism for real-time robotics applications

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3339, Issue , 2004, Pages 937-942

  Do, Quoc Vong ^a   Lozo, Peter ^b   Jain, Lakhmi ^a  

^a UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

^b DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE PROCESSING; NEURAL NETWORKS; OBJECT RECOGNITION; REAL TIME SYSTEMS; ROBOT APPLICATIONS; VISION;

ADAPTIVE RESONANCE THEORIES (ART); LANDMARK RECOGNITION; POTENTIAL REGIONS (PR); REGIONS OF INTEREST (ROI);

ROBOTICS;

EID: 22944472701     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30549-1_82     Document Type: Conference Paper

References (9)

1. B. Juesz and J. R. Bergen, "Texons, the Fundamental elements in pre-attentive vision and perception of textures," Bell System Technical Journal, vol. 62, pp. 1619-1645, 1983.
2. M. Mata, J. M. Armingol, A. de la Escalera, and M. A. Salichs, "A visual landmark recognition system for topological navigation of mobile robots," presented at The IEEE International Conference on Robotics and Automation, Proceedings 2001 ICRA., pp. 1124-1129, 2001.
3. M. Mata, J. M. Armingol, A. de la Escalera, and M. A. Salichs, "Using learned visual landmarks for intelligent topological navigation of mobile robots," presented at IEEE International Conference on Robotics and Automation, Proceedings. ICRA-03, pp.1324-1329, 2003.
4. E. W. Chong, C.-C. Lim, and P. Lozo, "Neural model of visual selective attention for automatic translation invariant object recognition in cluttered images," presented at Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference, pp.373-376, 1999.
5. J. Westmacott, P. Lozo, and L. Jain, "Distortion invariant selective attention adaptive resonance theory neural network," presented at Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, USA, pp.13-16, 1999.
6. P. Lozo and C.-C. Lim, "Neural circuit for object recognition in complex and cluttered visual images," presented at The Australian and New Zealand Conference on Intelligent Information Systems, pp.254-257, 1996.
7. P. Lozo, "Neural Circuit For Self-regulated Attentional Learning In Selective Attention Adaptive Resonance Theory (saart) Neural Networks," presented at The Fourth International Symposium on Signal Processing and Its Applications, ISSPA-96, pp.545-548, 1996.
8. S. Grossberg and L. Wyse, "Invariant recognition of cluttered scenes by a self-organizing ART architecture: figure-ground separation," presented at International Joint Conference on Neural Networks, IJCNN-91-Seattle, pp.633-638, 1991.
9. G. A. Carpenter, S. Grossberg, and D. Rosen, "ART 2-A: an adaptive resonance algorithm for rapid category learning and recognition," presented at International Joint Conference on Neural Networks, IJCNN-91-Seattle, pp. 151-156, 1991.