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Fire Detection Algorithms Using Multimodal ... - Bilkent University

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BIBLIOGRAPHY 112[18] D. Chetverikov and R. Peteri. A brief survey of dynamic texture descriptionand recognition. In Proceedings of the Fourth International Conference onComputer Recognition Systems (CORES), pages 17–26, 2005.[19] R. Collins, A. Lipton, and T. Kanade. A system for video surveillance andmonitoring. In Proceedings of the 8-th International Topical Meeting onRobotics and Remote Systems. American Nuclear Society, April 1999.[20] P. L. Combettes. The foundations of set theoretic estimation. Proceedingsof the IEEE, 81(2):182–208, 1993.[21] J. Davis and A. Bobick. The representation and recognition of action usingtemporal templates. In Proceedings of the IEEE Conference on ComputerVision and Pattern Recognition (CVPR), pages 928–934, 1997.[22] J. M. de Dios, B. Arrue, A. Ollero, L. Merino, and F. Gomez-Rodriguez.Computer vision techniques for forest fire perception. Image and VisionComputing, 26(4), 2008.[23] Y. Dedeoglu, B. Töreyin, U. Gudukbay, and A. Cetin. Real-time fire andflame detection in video. In Proceedings of the IEEE International Conferenceon Acoustics, Speech and Signal Processing (ICASSP), pages 669–672,2005.[24] Y. Dedeoglu, B. Töreyin, U. Gudukbay, and A. Cetin. <strong>Multimodal</strong> Processingand Interaction: Audio, Video, and Text, chapter 6 - Surveillance <strong>Using</strong> BothVideo and Audio, pages 143–155. P. Maragos, A. Potamianos, P. Gros. (Eds.)Springer Science+Business Media, LLC, 2008.[25] H. Dreyfus. What Computers Can’t Do. 1972.[26] H. Dreyfus. What Computers Still Can’t Do: A Critique of Artificial Reason.MIT Press, 1992.[27] R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. Wiley-Interscience Publication, 2000.

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