SVM Based Forest Fire Detection Using Static and Dynamic Features
Jianhui Zhao, Zhong Zhang, Shizhong Han, Chengzhang Qu, Zhiyong Yuan, Dengyi Zhang (2011)
Computer Science and Information Systems
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Jianhui Zhao, Zhong Zhang, Shizhong Han, Chengzhang Qu, Zhiyong Yuan, Dengyi Zhang (2011)
Computer Science and Information Systems
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Fayez Idris, Mazen Abu-Zaher, Rashad J. Rasras, Ibrahiem M. M. El Emary (2007)
Computer Science and Information Systems
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Włodzimierz Kasprzak, Artur Wilkowski, Karol Czapnik (2012)
International Journal of Applied Mathematics and Computer Science
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A computer vision system is described that captures color image sequences, detects and recognizes static hand poses (i.e., "letters") and interprets pose sequences in terms of gestures (i.e., "words"). The hand object is detected with a double-active contour-based method. A tracking of the hand pose in a short sequence allows detecting "modified poses", like diacritic letters in national alphabets. The static hand pose set corresponds to hand signs of a thumb alphabet. Finally, by tracking...
Paola Campadelli, Raffaella Lanzarotti, Giuseppe Lipori (2006)
RAIRO - Theoretical Informatics and Applications
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We present a novel eye localization method which can be used in face recognition applications. It is based on two SVM classifiers which localize the eyes at different resolution levels exploiting the Haar wavelet representation of the images. We present an extensive analysis of its performance on images of very different public databases, showing very good results.
Jiří Jan, Radim Kolář, Libor Kubečka, Jan Odstrčilík, Jiří Gazárek (2011)
Kybernetika
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The paper presents an overview of image analysis activities of the Brno DAR group in the medical application area of retinal imaging. Particularly, illumination correction and SNR enhancement by registered averaging as preprocessing steps are briefly described; further mono- and multimodal registration methods developed for specific types of ophthalmological images, and methods for segmentation of optical disc, retinal vessel tree and autofluorescence areas are presented. Finally, the...
Michal Šorel, Filip Šroubek, Jan Flusser (2011)
Kybernetika
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Blur is a common problem that limits the effective resolution of many imaging systems. In this article, we give a general overview of methods that can be used to reduce the blur. This includes the classical multi-channel deconvolution problems as well as challenging extensions to spatially varying blur. The proposed methods are formulated as energy minimization problems with specific regularization terms on images and blurs. Experiments on real data illustrate very good and stable performance...
Ryszard Tadeusiewicz, Marek R. Ogiela, Piotr S. Szczepaniak (2009)
International Journal of Applied Mathematics and Computer Science
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The main paradigm of image understanding and a concept for its practical machine realisation are presented. The crucial elements of the presented approach are the formalisation of human knowledge about the class of images that are to be automatically interpreted, a linguistic description and the realization of cognitive resonance.