Darko Stipanicev

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– By appropriate integration of advanced ICT systems in an environment, in a way that those highly technological systems become almost its integral part, it is possible to provide additional environment features. Those features are primarily self-monitoring and self-protection, giving the environment rudimentary intelligence and possibility, to operate not(More)
A focus of this paper is a pixel level analysis and segmentation of smoke colored pixels for the automated forest fire detection. Variations in the smoke color tones, environmental illumination, atmospheric conditions and low quality of the images of wide outdoor area make smoke detection a complex task. In order to find an efficient combination of a color(More)
Fire modeling is used to understand and to predict possible fire behavior without getting burned. Fire models are used in different aspects of fire management: a) before fire, for risk factor calculation and this would help fire fighters to focus on area with higher risk and develop better infrastructure, b) before fire for fire fighter training purposes(More)
Wildfires cause significant economic damage and have quite devastating effect on environment all over the world. Early fire detection and quick and appropriate intervention are of vital importance for wildfire damage minimization. In both cases, video-monitoring system could be quite useful. In this paper, after a short survey of various approaches to the(More)
Sensors for early fire detection based on visual analysis have been under constant development and improvement, especially during the last decade. However, there is still a lot of room for advancement to increase the accuracy and reliability of such sensors. In this paper, a novel method for wildfire smoke detection based on spatial context analysis as well(More)