Vision based fire detection

Proceedings - International Conference on Pattern Recognition

Volumn 4, Issue , 2004, Pages 134-137

  Liu, Che Bin ^a   Ahuja, Narendra ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR PROBABILITY DENSITY; PIXELS; VISION BASED FIRE DETECTION;

CAMERAS; COLOR IMAGE PROCESSING; DATABASE SYSTEMS; FIRE DETECTORS; FOURIER TRANSFORMS; MULTIMEDIA SYSTEMS; PATTERN RECOGNITION; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES;

COMPUTER VISION;

EID: 10044247009     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. A. Baumberg and D. Hogg. An adaptive eigenshape model. In Proceedings of the British Machine Vision Conference, volume 1, pages 87-96, 1995.
2. W. D. Davis and K. A. Notarianni. NASA fire detection study. Technical report, National Institute of Standards and Technology, March 1996.
3. G. Healey, D. Slater, T. Lin, B. Drda, and D. Goedeke. A system for real-time fire detection. In Computer Vision and Pattern Recognition, pages 605-606, 1993.
4. S. Loncaric. A survey of shape analysis techniques. Pattern Recognition, 31(8):983-1001, 1998.
5. H. Lütkepohl. Introduction to Multiple Time Series Analysis. Springer-Verlag, 1991.
6. S. Mon, H. Nishida, and H. Yamada. Optical Character Recognition. John Wiley & Sons, 1999.
7. H. Murase and S. K. Nayar. Visual learning and recognition of 3D objects from appearance. International Journal of Computer Vision, 14(1):5-24, 1995.
8. A. Neumaier and T. Schneider. Estimation of parameters and eigenmodes of multivariate autoregressive models. ACM Transactions on Mathematical Software, 27(1):27-57, 2001.
9. E. Persoon and K. Fu. Shape discrimination using fourier descriptors. IEEE Transactions on Systems, Man and Cybernetics, 7(3):170-179, March 1977.
10. W. Phillips, III, M. Shah, and N. da Vitoria Lobo. Flame recognition in video. In Fifth IEEE Workshop on Applications of Computer Vision, pages 224-229, December 2000.
11. G. Schwarz. Estimating the dimension of a model. Annals of Statistics, 6:461-464, 1978.
12. V. N. Vapnik. The Nature of Statistical Learning Theory. Springer, second edition, 1999.
13. M.-H. Yang and N. Ahuja. Gaussian mixture model for human skin color and its application in image and video databases. In Conference on Storage and Retrieval for Image and Video Databases (SPIE 99), volume 3656, pages 458-466, 1999.