Object tracking

IEEE Potentials

Volumn 18, Issue 3, 1999, Pages 10-13

  Hafed, Ziad M ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; COLOR IMAGE PROCESSING; CONSTRAINT THEORY; EDGE DETECTION; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE QUALITY; KALMAN FILTERING; KNOWLEDGE BASED SYSTEMS; LIGHT INTERFERENCE; OPTICAL CORRELATION; REAL TIME SYSTEMS;

OBJECT TRACKING; OCCLUSION;

OBJECT RECOGNITION;

EID: 0033352462     PISSN: 02786648     EISSN: None     Source Type: Journal    
DOI: 10.1109/45.789744     Document Type: Article

References (8)

1. Belanger, P., 1995,Control Engineering: A Modern Approach, Saunders: Orlando, FL.
2. Ferrie, F., Levine, M. and Zucker, S., 1982, "Cell tracking: a modeling and minimization approach," IEEE Trans. on Pattern Anal. And Mach. Intell., Vol. PAMI-4, No. 3, pp. 277-291.
3. Intille, S., Davis, J. and Bobick, A., 1997, "Real-time closed-world tracking," Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 697-703.
4. Jain, R., Kasturi, R. and Schunck, B., 1995, Machine Vision, McGraw-Hill: New York, NY.
5. Moscheni, F., Dufaux, F. and Kunt, M., 1996, "Object tracking based on temporal and spatial information," Proc. IEEE ICASSP, Vol. 4, pp. 1914-1917.
6. Papanikolopoulos, N., Khosla, P. and Kanade, T., 1991, "Vision and control techniques for robotic visual tracking," Proc. 1991 IEEE Int'l Conf. on Robotics and Automation, pp. 857-864.
7. Rabiner, W. and Jacquin, A., 1996, "Object tracking using motion-adaptive modeling of scene content," IEEE Global Telecommunications Conference, Vol. 2, pp. 877-881.
8. Siebert, H. and Engelhardt, W., 1988, "Performance data and limiting conditions of object tracking algorithms in the presence of camera noise," IEE Proc., Part F: Communications, Radar & Signal Processing, Vol. 135, February, pp. 111-113.