Matteo Zanotto

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We present a novel probabilistic framework that jointly models individuals and groups for tracking. Managing groups is challenging, primarily because of their nonlinear dynamics and complex layout which lead to repeated splitting and merging events. The proposed approach assumes a tight relation of mutual support between the modeling of individuals and(More)
Social interactions are essential in our daily activities and automatic modelling of interactional exchanges has become an active research topic over the last few years. An important step towards the analysis of social behaviour and the understanding of social interactions involves the identification of groups of people, which is the goal of this work. We(More)
The "ABCD" mnemonic to assist non-experts' diagnosis of melanoma is widely promoted; however, there are good reasons to be sceptical about public education strategies based on analytical, rule-based approaches--such as ABCD (i.e. Asymmetry, Border Irregularity, Colour Uniformity and Diameter). Evidence suggests that accurate diagnosis of skin lesions is(More)
In this work evidence is presented supporting the hypothesis that observers tend to evaluate very differently the same properties of given skin-lesion images. Results from previous experiments have been compared to new ones obtained where we gave additional prototypical visual cues to the users during their evaluation trials. Each property (colour, colour(More)
Automatic analysis of rodents behaviour has received growing attention in recent years as rodents are the reference species for large scale pharmacological and genetic screenings. In this paper we propose a new method to identify prototypical high-level behavioural patterns which go beyond simple atomic actions. The method is embedded in a data mining(More)
The work of this dissertation was aimed at getting a better understanding about the way people evaluate visual similarity of skin lesions. Experiments testing the evaluation performance achieved following the ABCD rule were run at first. Results showed a substantial variability in the obtained evaluations which puts the usefulness of this qualitative(More)
The retina is a complex nervous system which encodes visual stimuli before higher order processing occurs in the visual cortex. In this study we evaluated whether information about the stimuli received by the retina can be retrieved from the firing rate distribution of Retinal Ganglion Cells (RGCs), exploiting High-Density 64x64 MEA technology. To this end,(More)
It is a common belief that in the near future, wearable technology will be the next computing revolution. Such wearable systems are intended to be used in a seamless way like a piece of clothing and they are at the basis of “lifelogging”. Among all wearable sensors, the first lifelogging cameras are recently becoming available for a large number of people(More)