Active perception in a sensor fusion model

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4731, Issue , 2002, Pages 164-175

  Biel, Lena ^a   Wide, Peter ^a  

^a ÖREBRO UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; ETHANOL; FEATURE EXTRACTION; FIRE ALARM SYSTEMS; KNOWLEDGE BASED SYSTEMS; MOBILE ROBOTS; SENSORY PERCEPTION;

FEATURE SELECTION METHODS;

SENSOR DATA FUSION;

EID: 0036386431     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.458381     Document Type: Conference Paper

References (17)

1. Matlin, M.W. and H.J. Foley, Sensation and Perception. 4th ed. 1997: Pearson Higher Education. 560.
2. Schiffman, H.R., Sensation and Perception, An Integrated Approach. Fourth ed. 1996: John Wiley & Sons, Inc.
3. Freeman, W.J., Comparison of brain models for active vs. passive perception, in Information-Sciences. 1999. p. p.97-107.
4. Bandopadhay, A., B. Chandra, and D.H. Ballard. Egomotion using active vision. in IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1986: IEEE Comput. Soc. Press, Washington, DC, USA.
5. Bajcsy, R., Active perception. Proceedings-of-the-IEEE., 1988. vol.76, no.8: p. p.966-1005.
6. Antony, R.T., Principles of Data Fusion Automation. 1995, Norwood: Artech House, Inc. 470.
7. Hall, D.L. and J. Llinas, An Introduction to Multisensor Data Fusion. Proceedings of the IEEE, 1997. 85: p. 6-23.
8. Bedworth, M. and J. O'Brien. The Omnibus model: a new model of data fusion? in Proceedings of the Second International Conference on Information Fusion. FUSION '99. 1999.
9. Kadar, I. Perceptual Reasoning Managed Situation Assessment and Adaptive Fusion Processing. in Signal Processing, Sensor Fusion and Target Recognition X. 2000. Orlando: SPIE.
10. Kokar, M.M., M.D. Bedworth, and C.B. Frankel. A Reference Model for Data Fusion Systems. in Sensor Fusion: Architechtures, Algorithms, and Applocations IV. 2000. Orlando: SPIE.
11. Fischer-A, M.-H. A robust fire detection algorithm for temperature and optical smoke density using fuzzy logic. in Proceedings. The Institute of Electrical and Electronics Engineers 29th Annual 1995 International Carnahan Conference on Security Technology (Cat. No.95CH3578-8). 1995. New York: IEEE.
12. Foo-SY, A fuzzy logic approach to fire detection in aircraft dry bays and engine compartments. IEEE-Transactions-on-Industrial-Electronics, 2000. vol.47: p. p. 1161-71.
13. Noda-S and Ueda-K. Fire detection in tunnels using an image processing method. in 1994 Vehicle Navigation and Information Systems Conference. 1994: IEEE.
14. Yamaguchi-J, Y.-H. Fire flame detection algorithm using a color camera. in MHS'99, International Symposium on Micromechatronics and Human Science (Cat. No. 99TH8478). 1999.
15. Milke, J.A. Using Multiple Sensors for Discriminating Fire Detection. in Fire Suppression and Detection Research Application Symposium. 1999. Orlando: National Institute of Standards and Technology.
16. Müller, H.-C. A New Approach to Fire Detection Algorithms based on Hidden Markov Model. in 12th International Conference on Automatic Fire Detections. 2001. Gaithersburg, Maryland, USA: AUBE.
17. Schönberg, S., Fullskaleförsök av brand i ett rum reed boendesprinkler. 2000, Lunds University: Lund. p. 37 + Appendices. (Swedish reference).