References: [1] https://doi.org/10.3182/20050703-6-CZ-1902.01380. [2] https://www.tandfonline.com/doi/abs/10.1080/014311699212290 [3] Viola, P., Jones, M. (2001). Rapid object detection using a Boosted Cascade of Simple Features, ACCVPR, 2001, https://www.cs.cmu.edu/~efros/courses/LBMV07/Papers/violacvpr-01.pdf [4] Keysers, D., Deselaers, T., Ney, H. (2004). Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching. In: Rasmussen C.E., Bülthoff H. H., Schölkopf B., Giese M.A. (eds) Pattern Recognition. DAGM 2004. Lecture Notes in Computer Science, 3175. Springer, Berlin, Heidelberg [5] Rainer Lienhart., Jochen Maydt. (2002). An Extended Set of Haar-like Features for Rapid Object Detection. IEEE ICIP 2002, Volume 1, p 900-903, September 2002. This paper, as well as the extended technical report, can be retrieved at http://www.multimediacomputing. de/mediawiki//images/5/52/MRL-TR-May02-revised-Dec02.pdf [6] https://docs.opencv.org/2.4/modules/objdetect/doc/cascade_classification.html?highlight=cascadeclassifier#lienhart02 [7] https://pythonprogramming.net/haar-cascade-object-detectionpython-opencv-tutorial/, 2017 [8] Hao Wu., Deyang Wu., Jinsong Zhao. (2019). An intelligent fire detection approach through cameras based on computer vision methods, Process Safety and Environmental Protection, Volume 127, 2019, Pages 245-256,ISSN 0957-5820, https://doi.org/10.1016/j.psep.2019.05.016 [9] Mahdi Hashemzadeh., Alireza Zademehdi. (2019). Fire detection for video surveillance applications using ICA K-medoidsbased color model and efficient spatio-temporal visual features, Expert Systems with Applications, Volume 130, 2019, Pages 60-78, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2019.04.019. |