Pietro Morerio

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The emergence of new wearable technologies, such as action cameras and smart glasses, has increased the interest of computer vision scientists in the first person perspective. Nowadays, this field is attracting attention and investments of companies aiming to develop commercial devices with first person vision (FPV) recording capabilities. Due to this(More)
Hand detection and segmentation methods stand as two of the most most prominent objectives in First Person Vision. Their popularity is mainly explained by the importance of a reliable detection and location of the hands to develop human-machine interfaces for emergent wearable cameras. Current developments have been focused on hand segmentation problems,(More)
This work addresses the issue of fire and smoke detection in a scene within a video surveillance framework. Detection of fire and smoke pixels is at first achieved by means of a motion detection algorithm. In addition, separation of smoke and fire pixels using colour information (within appropriate spaces, specifically chosen in order to enhance specific(More)
In this work, we propose a strategy for optimizing a superpixel algorithm for video signals, in order to get closer to real time performances which are on the one hand needed for egocentric vision applications and on the other must be bearable by wearable technologies. Instead of applying the algorithm frame by frame, we propose a technique inspired to(More)
The emergence of new pervasive wearable technologies (e.g. action cameras and smart glasses) calls attention to the so called First Person Vision (FPV). In the future, more and more everyday-life videos will be shot from a first-person point of view, overturning the classical fixed-camera understanding of Vision, specializing the existing knowledge of(More)
First Person Vision (Egocentric) video analysis stands nowadays as one of the emerging fields in computer vision. The availability of wearable devices recording exactly what the user is looking at is ineluctable and the opportunities and challenges carried by this kind of devices are broad. Particularly, for the first time a device is so intimate with the(More)
Cognitive algorithms, integrated in intelligent systems, represent an important innovation in designing interactive smart environments. More in details, Cognitive Systems have important applications in anomaly detection and management in advanced video surveillance. These algorithms mainly address the problem of modelling interactions and behaviours among(More)
Human behavior analysis is one of the most important applications in Intelligent Video Surveillance (IVS) field. In most recent systems addressed by research, automatic support to the human decisions based on object detection, tracking and situation assessment tools is integrated as a part of a complete cognitive artificial process including security(More)
The employment of sophisticated tools for data analysis in distributed or structurally complex systems requires the development of specific architectures and data fusion strategies in order to integrate heterogeneous information coming from the environmental sensors. Recently, intelligent sensor networks have been widely deployed for various purposes(More)
Intelligent camera networks have been lately employed for a wide range of heterogeneous purposes, concerning both security and safety oriented systems. Military and civil applications ranging from border surveillance and public spaces monitoring to ambient intelligence and road safety are representative of such various applications. In this paper a(More)