References
- A. Zhao, L. Wang, and C. H. Yao, "Research on electronic-nose application based on wireless sensor networks," International Symposium on Instrumentation Science and Technology, 2006.
- D. Y. Yun and S. H. Kim, "A design of fire monitoring system based on unmaned helicopter and sensor network," Journal of Korean Institute of Intelligent Systems, vol. 20, no. 4, pp. 516-521, 2010, https://doi.org/10.5391/JKIIS.2010.20.4.516
- K. H. Cheong et al., "Automatic fire detection system using CCD camera and Bayesian network," Image Processing: Machine Vision Applications Book Series: Proceedings of SPIEIS&T Electronic Imaging, vol. 6813, pp. S8130-S8130, 2008.
- D. Wang, X. Cui, E. Park, C. Jin, and H. Kim, "Adaptive flame detection using randomness testing and robust features," Fire Safety Journal, vol 55, pp. 116-125, Jan. 2013. https://doi.org/10.1016/j.firesaf.2012.10.011
- T. Celik, "Fast and efficient method for fire detection using image processing," vol. 32, no. 6, pp. 881-890, Dec. 2010. https://doi.org/10.4218/etrij.10.0109.0695
- B. Jung and G. S. Sukhatme, "Real-time motion tracking from a mobile robot," International Journal of Social Robotics, vol. 2, no. 1, pp. 63-78, Mar. 2010. https://doi.org/10.1007/s12369-009-0038-y
- R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd Ed, CAMBRIDGE, Cambridge, 2003.
- J. Shi and C. Tomasi, "Good features to track," Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, pp. 593-600, Jun. 1994.
- B. D. Lucas and T. Kanade, "An iterative image registration technique with an application to stereo vision," Proc. of the 1981 DARPA Imaging Understanding Workshop, pp. 121-130, 1981.
- G. R. Bradski and A. Kaehler, Learning OpenCV, O'Reilly, 2008.
- M. Fischler and R. Bolles, "Random sample consensus: A paradigm for model fitting applications to image analysis and automated cartography," Proc. Image Understanding Workshop, pp. 71-88, Apr. 1980.