Reliable smoke detection system in the domains of image energy and color

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2008, Pages 1376-1379

  Piccinini, Paolo ^a   Calderara, Simone ^a   Cucchiara, Rita ^a  

^a UNIVERSITY OF MODENA AND REGGIO EMILIA   (Italy)

Author keywords

Alarm systems; Image processing; Scene analysis; Wavelet transforms

Indexed keywords

BACKGROUND MODEL; BACKGROUND SUPPRESSION; BAYESIAN CLASSIFIER; COLOR MODELS; CURRENT IMAGE; ENERGY RATIO; ENERGY VARIATIONS; GAUSSIAN MIXTURES; IMAGE ENERGY; MIXTURE OF GAUSSIANS; MOVING OBJECTS; PIXEL COLOR; SCENE ANALYSIS; SEGMENTED OBJECTS; SMOKE DETECTION; SMOKE DETECTION SYSTEMS; TEMPORAL EVOLUTION; VARIABLE SHAPE; WAVELET DOMAIN;

ALARM SYSTEMS; COLOR; FIRE DETECTORS; IMAGE SEGMENTATION; IMAGING SYSTEMS; SMOKE DETECTORS; TEXTURES; WAVELET TRANSFORMS;

SMOKE;

EID: 69949168455     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4712020     Document Type: Conference Paper

References (16)

1. B. U. Toreyn, Y. Dedeoglu and A. E. Cetin. "Wavelet based real-time smoke detection in video". EUSIPCO '05, 2005.
2. Thou-Ho (Chao-Ho) Chen, Yen-Hui Yin, Shi-Feng Haung and Yan-Ting Ye. "The smoke detection for early fire-alarming system base on video processing". Proceeding of the 2006 international Conference in intelligent information Hiding and Multimedia Signal Processing (IIH-MSP'06).
3. S. G. Mallat. "A theory for multiresolution signal decomposition: the wavelet representation." IEEE Transaction on Pattern Recognition and Machine intelligence. IEEE Vol. 11, Issue 7 (1989) 674-693
4. Stauffer, Grimson, "Adaptive Background Mixture Model For Real Time Tracking," Proceeding IEEE Conference on Computer Vision and Pattern Recognition. IEEE (1999) 246-252.
5. I. Kopilovic, B. Vagvolgyi, T. Sziranyi, "Application of panoramic annular lens for motion analysis tasks: surveillance and smoke detection," In Proceeding of 15th International Conference on Pattern Recognition Vol. 4. IEEE, 3-7 Sept. (2000) 714-717
6. C. Wren, A. Azarbayejani, T. Darrell, and A. P. Pentland, "Pfinder: real-time tracking of the human body," IEEE Trans. On PAMI. Vol. 19, no. 7, pp. 780-785. July 1997.
7. R. T. Collins, A. J. Lipton, T. Kanade, H. Fujiyoshi, D. Duggins, Y. Tsin, D. Tolliver, N. Enoomoto, O. Hasegawa, P. Burt, and 1. Wixson, "A System for Video Surveillance and Monitoring: VSAM Final Report," Technical Report CMU-RI-TR-00-12, Robotics institute, Carnegie Mellon university, May 2000.
8. I. Haritaoglu, D. Harwood, and L. S. Davis, "W4: rel-time surveillance of people and their activities," IEEE Trans. on PAMI. Vol. 22, no. 8, pp. 809-830, Aug. 2000.
9. R. Cucchiara, C. Grana, M. Piccardi, and A. Prati, "Detecting moving objects, ghosts and shadows in video streams," IEEE Trans. on PAMI. Vol. 25, no. 10, pp. 1337-1342, Oct. 2003.
10. S. Calderara, R. Melli, A. Prati, and R. Cucchiara, "Reliable background suppression for complex scenes," in Proceedings of ACM Workshop pn Video Surveillance and Sensor Networks (ACM VSSN 2006), Algorithm Competition, 2006.
11. A. Prati, I. Mikic, M. M. Trivedi, and R. Cucchiara, "Detecting moving shadows: Algorithms and evaluation," IEEE Trans. on PAMI. Vol. 25, no. 7, pp. 918-923. July 2003.
12. W. Phillips HI, M. Shah, and N. V. Lobo, "Flame recognition in video," PRL, v. 23 (1-3), pp. 319-327. Jan. 2002.
13. J. Vicente, P. Guillemant," An image processing technique for automatically detecting forest fire," in Intl. Journal of Thermal Sciences. Vol. 41, Issue 12, pp. 1113-1120. 2002.
14. M. Sato, 'Tast learning of on-line EM algorithm," in Technical Report TR-H-281, ATR Human Information Processing Research Laboratories.
15. E. Parzen, "On estimation of a probability density function and mode," Ann. Math. Statistics, vol. 33, pp. 1065-1076, Sept. 1962
16. VISOR: Video Surveillance Online Repository website: http://imagelab.ing. unimore.it/visor