Yangın ve Güvenlik Dergisi 215. Sayı (Mayıs-Haziran 2020)

52 Yangın ve Güvenlik / Mayıs - Haziran 2020 yanginguvenlik.com.tr MAKALE 2011, pp. 1–7. [47] O. Amidi, T. Kanade, K. Fujita, A visual odometer for autonomous helicopter flight, Robot. Auton. Syst. 28 (2–3) (1999) 185–193. [48] M.A. Turk, A.P. Pentland, Face recognition using eigenfaces, Computer Vision and Pattern Recognition, 1991. Proceedings CVPR’91., IEEE Computer Society Conference on, IEEE, 1991, pp. 586–591. [49] J. Heinly, E. Dunn, J.-M. Frahm, Comparative evaluation of binary features, Computer Vision–ECCV 2012, Springer, 2012, pp. 759–773. [50] H. Bay, A. Ess, T. Tuytelaars, L. Van Gool, Speeded-up robust features (surf), Comput. Vision Image Underst. 110 (3) (2008) 346–359. [51] S. Leutenegger, M. Chli, R.Y. Siegwart, Brisk: binary robust invariant scalable keypoints, Computer Vision (ICCV), 2011 IEEE International Conference on, IEEE, 2011, pp. 2548–2555. [52] T. Lupton, S. Sukkarieh, Visual-inertial-aided navigation for high-dynamic motion in built environments without initial conditions, IEEE Trans. Robot. 28 (1) (2012) 61–76. [53] V. Indelman, S. Williams, M. Kaess, F. Dellaert, Information fusion in navigation systems via factor graph based incremental smoothing, Robot. Auton. Syst. 61 (8) (2013) 721–738. [54] Y. Wang, G.S. Chirikjian, Nonparametric second-order theory of error propagation on motion groups, Int. J. Robot. Res. 27 (11–12) (2008) 1258–1273. [55] P. Furgale, J. Rehder, R. Siegwart, Unified temporal and spatial calibration for multi-sensor systems, Intelligent Robots and Systems (IROS), 2013 IEEE/ RSJ International Conference on, IEEE, 2013, pp. 1280–1286. [56] H. Bay, T. Tuytelaars, L. Van Gool, Surf: speeded up robust features, Comput. Vision–ECCV 2006 (2006) 404–417. [57] D.G. Lowe, Distinctive image features from scale- invariant keypoints, Int. J. Comput. Vision 60 (2) (2004) 91–110. [58] M. Calonder, V. Lepetit, C. Strecha, P. Fua, Brief: binary robust independent elementary features, Comput. Vision–ECCV 2010 (2010) 778–792. [59] E. Rublee, V. Rabaud, K. Konolige, G. Bradski, Orb: an efficient alternative to sift or surf, Computer Vision (ICCV), 2011 IEEE international conference on, IEEE, 2011, pp. 2564–2571. [60] P.L. Rosin, Measuring corner properties, Comput. Vision Image Underst. 73 (2) (1999) 291–307. [61] R. Mur-Artal, J.D. Tardos, ORB-SLAM2: an open- source slam system for monocular, stereo, and rgb-d cameras, IEEE Trans. Robot. 33 (5) (2017) 1255–1262. [62] J. Sivic, A. Zisserman, Video google: a text retrieval approach to object matching in videos, null, IEEE, 2003, p. 1470. [63] D. Nister, H. Stewenius, Scalable recognition with a vocabulary tree, Computer vision and pattern recognition, 2006 IEEE computer society conference on, 2 IEEE, 2006, pp. 2161–2168. [64] M.A. Fischler, R.C. Bolles, Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Commun. ACM 24 (6) (1981) 381–395. [65] D.W. Casbeer, R.W. Beard, T.W. McLain, S.-M. Li, R.K. Mehra, Forest Fire Monitoring with Multiple Small UAVS, (2005). [66] C. Yuan, Y. Zhang, Z. Liu, A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques, Can. J. forest Res. 45 (7) (2015) 783–792. [67] White paper on UAV over-the-horizon disaster management demonstration projects, 2000, (http:// geo.arc.nasa.gov/sge/UAVFiRE/whitepaper.html). Accessed: 2018. [68] H.-C. Muller, et al., A new approach to fire detection algorithms based on the hidden Markov model, NIST Special Publication SP (2001) 129–138. [69] A.E. Cetin, K. Dimitropoulos, B. Gouverneur, N. Grammalidis, O. Gunay, Y.H. Habibolu, B.U. Toreyin, S. Verstockt, Video fire detection–review, Digital Signal Process. 23 (6) (2013) 1827–1843. [70] T.-H. Chen, P.-H. Wu, Y.-C. Chiou, An early fire- detection method based on image processing, Image Processing, 2004. ICIP’04. 2004 International Conference on, 3 IEEE, 2004, pp. 1707–1710. [71] X. Qi, J. Ebert, A computer vision based method for fire detection in color videos, Int. J. Imaging 2 (S09) (2009) 22–34. [72] J. Chen, Y. He, J. Wang, Multi-feature fusion based fast video flame detection, Build. Environ. 45 (5) (2010) 1113–1122. [73] J. Gubbi, S. Marusic, M. Palaniswami, Smoke detection in video using wavelets and support vector machines, Fire Safety J. 44 (8) (2009) 1110–1115.

RkJQdWJsaXNoZXIy MTcyMTY=