Real-time video-based fire smoke detection system

IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Volumn , Issue , 2009, Pages 1845-1850

  Ho, Chao Ching ^a,c   Kuo, Tzu Hsin ^b  

^a NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE   (Taiwan)

^c IEEE   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE MEAN SHIFTS; AUTOMATIC MONITORING-SYSTEM; CAMSHIFT; COLOR HISTOGRAM; FIRE SMOKE; FUZZY REASONING SYSTEM; HIGH FRAME RATE; HSI COLOR SPACE; IMAGE SEQUENCE; LEVEL CROSSING; MOTION HISTORY; PROBABILITY DENSITIES; PROCESSING STEPS; REAL TIME ALGORITHMS; REAL TIME VIDEOS; SEGMENTATION ALGORITHMS; STATISTICAL DISTRIBUTION; TEMPORAL CHARACTERISTICS; VISION TRACKING;

ASYMPTOTIC ANALYSIS; COLOR; FIRE DETECTORS; FIRES; IMAGE SEGMENTATION; INTELLIGENT MECHATRONICS; MECHATRONICS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; SMOKE DETECTORS; TRACKING (POSITION);

SMOKE;

EID: 70350469992     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIM.2009.5229791     Document Type: Conference Paper

References (15)

1. D. Schroeder, "Evaluation of three wildfire smoke detection systems," Advantage-Forest Engineering Research Institute of Canada (FERIC), vol. 5, pp. 1-8, 2004.
2. J. Fang, J. Jie, Y. Hong-Yong, and Z. Yong-Ming, "Early fire smoke movements and detection in high large volume spaces," Building and Environment, vol. 41, pp. 1482-1493, 2006.
3. B. U. Toreyin, Y. Dedeoglu, and A. E. Cetin, "Wavelet based real-time smoke detection in video," In. Proc. European Signal Processing Conference, Antalya, 2005, pp. 4-8.
4. B. U. Toreyin, Y. Dedeoglu, and A. E. Cetin, " Contour Based Smoke Detection in Video Using Wavelets," in Proc. of 14th European Signal Processing Conference (EUSIPCO'06), Florence, 2006.
5. T. H. Chen, Y. H. Yin, S. F. Huang, and Y. T. Ye, "The Smoke Detection for Early Fire-Alarming System Base on Video Processing," In. Proc. Intelligent Information Hiding and Multimedia Signal Processing, Pasadena, 2006, pp. 427-430.
6. Z. Xiong, R. Caballero, H. Wang, A. M. Finn, M. A. Lelic, and P. Y. Peng, "Video-based Smoke Detection: Possibilities, Techniques, and Challenges," In. Proc. of Suppression and Detection Research and Applications, Orlando, 2007, pp. 112.
7. C. L. Lai, J. C. Yang, and Y. H. Chen, "A Real Time Video Processing Based Surveillance System for Early Fire and Flood Detection," In. Proc. of Instrumentation and Measurement Technology, Warsaw, 2007, pp. 1-6.
8. J. Davis, "Recognizing movement using motion histograms," Technical Report 487, MIT Media Lab, 1999.
9. J. W. Davis and A. Bobick, "The Representation and Recognition of Action Using Temporal Templates," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 3, pp.257-267, 2001.
10. G. R. Bradski and J. W. Davis, "Motion segmentation and pose recognition with motion history gradients," Machine Vision and Applications, vol. 13, pp. 174-184, 2002.
11. W. B. Horng, J. W. Peng, and C. Y. Chen, "A new image-based real-time flame detection method using color analysis," In. Proc. Networking, Sensing and Control, Tucson, 2005, pp. 100-105.
12. K. R. Castleman, Digital image processing: Prentice Hall Press Upper Saddle River, NJ, USA, 1996.
13. K. Kang, "A smoke model and its application for smoke management in an underground mass transit station," Fire Safety Journal, vol. 42, pp. 218-231, 2007.
14. T. Chen, P. Wu and Y. Chiou, "An Early Fire-Detection Method Based on Image Processing," in Proc. of IEEE ICIP '04, Singapore, 2004, pp. 1707-1710.
15. G. R. Bradski, "Computer vision face tracking for use in a perceptual user interface," Intel Technology Journal, vol. 2, pp. 12-21, 1998.