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In this paper we propose a novel method for detecting fires in both indoor and outdoor environments. The videos acquired by traditional surveillance cameras are analyzed and different typologies of information, respectively based on color and movement, are combined into a multi expert system in order to increase the overall reliability of the appro...
Recently, the need of monitoring both real and virtual en-vironments is growing up, especially in security contexts. Virtual envi-ronments are rich of data produced by human interactions that can not be extracted using classical physical sensors. Thus, new kind of sensors allow to obtain and collect a huge quantity of data from these virtual enviro...
In this paper we present a real-time tracking algorithm that is able to deal with complex occlusions involving a plurality of moving objects simultaneously. The rationale is grounded on a suitable representation and exploitation of the recent history of each single moving object being tracked. The object history is encoded using a state, and the tr...
In this paper, a new algorithm for pupil localization is proposed. The algorithm is based on a template matching approach; the original contribution is that the model of the pupil that is used is not fixed, but it is automatically constructed on the first frame of the video sequence to be examined. Therefore the model is adaptively tuned to each su...
In this paper we propose an efficient and robust real-time tracking algorithm, able to deal with the common errors occurring in the object detection systems, like total or partial occlusions. Most of the common tracking algorithms make their tracking decisions by comparing the evidence at the current frame with the objects known at the previous one...
In this paper we propose a novel real-time tracking algorithm robust with respect to several common errors occurring in object detection systems, especially in the presence of total or partial occlusions. The algorithm takes into account the history of each object, whereas most other methods base their decisions on only the last few frames. More pr...
New software platform for the development of real-time video analysis applications, that has Benn designed to simplify the realization and the deployment of intelligent video-surveillance systems, following the Plugin Design Pattern. Each plugin defines a set of node types that can be instantiated to forma processing network, according to the data-flow paradigm.