Publications by Rita Cucchiara

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Ambient Intelligence in Urban Environments

Authors: Cucchiara, Rita; Prati, Andrea; C., Osti; S., Pavani

This paper reports advances achieved within a project called LAICA (Laboratorio di Ambient Intelligence per una Città Amica) on Ambient … (Read full abstract)

This paper reports advances achieved within a project called LAICA (Laboratorio di Ambient Intelligence per una Città Amica) on Ambient Intelligence in urban environments. The overall LAICA architecture is described and the unified operative centre developed by Regulus SpA (partner of the project) to collect and correlate data from different sensors and prototypes is depicted. Moreover, the paper describes the results obtained in developing a system for video surveillance in public parks, devoted to create a mosaic image of the scene and to extract and track moving people. Moreover, the system takes the privacy issues into account, proposing a method for face detection and tracking able to obscure faces in order to protect people’s identity.

2005 Relazione in Atti di Convegno

An integrated framework for semantic annotation and adaptation

Authors: M., Bertini; Cucchiara, Rita; A., Del Bimbo; Prati, Andrea

Published in: MULTIMEDIA TOOLS AND APPLICATIONS

Tools for the interpretation of significant events from video and video clip adaptation can effectively support automatic extraction and distribution … (Read full abstract)

Tools for the interpretation of significant events from video and video clip adaptation can effectively support automatic extraction and distribution of relevant content from video streams. In fact, adaptation can adjust meaningful content, previously detected and extracted, to the user/client capabilities and requirements. The integration of these two functions is increasingly important, due to the growing demand of multimedia data from remote clients with limited resources (PDAs, HCCs, Smart phones). In this paper we propose an unified framework for event-based and object-based semantic extraction from video and semantic on-line adaptation. Two cases of application, highlight detection and recognition from soccer videos and people behavior detection in domotic* applications, are analyzed and discussed.

Assessing Temporal Coherence for Posture Classification with Large Occlusions

Authors: Cucchiara, Rita; Vezzani, Roberto

In this paper we present a people posture classificationapproach especially devoted to cope with occlusions. Inparticular, the approach aims at … (Read full abstract)

In this paper we present a people posture classificationapproach especially devoted to cope with occlusions. Inparticular, the approach aims at assessing temporal coherenceof visual data over probabilistic models. A mixed predictiveand probabilistic tracking is proposed: a probabilistictracking maintains along time the actual appearance ofdetected people and evaluates the occlusion probability; anadditional tracking with Kalman prediction improves the estimationof the people position inside the room. ProbabilisticProjection Maps (PPMs) created with a learning phaseare matched against the appearance mask of the track. Finally,an Hidden Markov Model formulation of the posturecorrects the frame-by-frame classification uncertainties andmakes the system reliable even in presence of occlusions.Results obtained over real indoor sequences are discussed.

2005 Relazione in Atti di Convegno

Computer vision system for in-house video surveillance

Authors: Cucchiara, Rita; Grana, Costantino; Prati, Andrea; Vezzani, Roberto

Published in: IEE PROCEEDINGS. VISION, IMAGE AND SIGNAL PROCESSING

In-house video surveillance to control the safety of people living in domestic environments is considered. In this context, common problems … (Read full abstract)

In-house video surveillance to control the safety of people living in domestic environments is considered. In this context, common problems and general purpose computer vision techniques are discussed and implemented in an integrated solution comprising a robust moving object detection module which is able to disregard shadows, a tracking module designed to handle large occlusions, and a posture detector. These factors, shadows, large occlusions and people's posture, are the key problems that are encountered with in-house surveillance systems, A distributed system with cameras installed in each room of a house can be used to provide full coverage of people's movements. Tracking is based on a probabilistic approach in which the appearance and probability of occlusions are computed for the current camera and warped in the next camera's view by positioning the cameras to disambiguate the occlusions. The application context is the emerging area of domotics (from the Latin word domus, meaning 'home', and informatics). In particular, indoor video surveillance, which makes it possible for elderly and disabled people to live with a sufficient degree of autonomy, via interaction with this new technology, which can be distributed in a house at affordable costs and with high reliability.

2005 Articolo su rivista

Domain knowledge extension with pictorially enriched ontologies

Authors: Bertini, M.; Cucchiara, R.; Del Bimbo, A.; Torniai, C.

Published in: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE

Classifying video elements according to some pre-defined ontology of the video content is the typical way to perform video annotation. … (Read full abstract)

Classifying video elements according to some pre-defined ontology of the video content is the typical way to perform video annotation. Ontologies are built by defining relationship between linguistic terms that describe domain concepts at different abstraction levels. Linguistic terms are appropriate to distinguish specific events and object categories but they are inadequate when they must describe video entities or specific patterns of events. In these cases visual prototypes can better express pattern specifications and the diversity of visual events. To support video annotation up to the level of pattern specification enriched ontologies, that include visual concepts together with linguistic keywords, are needed. This paper presents Pictorially Enriched ontologies and provides a solution for their implementation in the soccer video domain. The pictorially enriched ontology created is used both to directly assign multimedia objects to concepts, providing a more meaningful definition than the linguistics terms, and to extend the initial knowledge of the domain, adding subclasses of highlights or new highlight classes that were not defined in the linguistic ontology. Automatic annotation of soccer clips up to the pattern specification level using a pictorially enriched ontology is discussed. © Springer-Verlag Berlin Heidelberg 2005.

Entry Edge of Field of View for multi-camera tracking in distributed video surveillance

Authors: Calderara, Simone; Vezzani, Roberto; Prati, Andrea; Cucchiara, Rita

Efficient solution to people tracking in distributed videosurveillance is requested to monitor crowded and large environments.This paper proposes a novel … (Read full abstract)

Efficient solution to people tracking in distributed videosurveillance is requested to monitor crowded and large environments.This paper proposes a novel use of the EntryEdges of Field of View (E2oFoV) to solve the consistentlabeling problem between partially overlapped views. Anautomatic and reliable procedure allows to obtain the homographictransformation between two overlapped views,without any manual calibration of the cameras. Throughthe homography, the consistent labeling is established eachtime a new track is detected in one of the cameras. A CameraTransition Graph (CTG) is defined to speed up the establishmentprocess by reducing the search space. Experimentalresults prove the effectiveness of the proposed solutionalso in challenging conditions.

2005 Relazione in Atti di Convegno

Foreword

Authors: Aggarwal, J. K.; Cucchiara, R.; Chang, E.; Wang, Y. -F.

2005 Relazione in Atti di Convegno

Guest editorial: Special issue on video segmentation for semantic annotation and transcoding

Authors: Cucchiara, R.; Del Bimbo, A.

Published in: MULTIMEDIA TOOLS AND APPLICATIONS

Making the home safer and more secure through visual surveillance

Authors: Cucchiara, Rita; Prati, Andrea; Vezzani, Roberto

Video surveillance has a direct application in intelligent home automation or domotics (from the Latin word domus, that means “home”, … (Read full abstract)

Video surveillance has a direct application in intelligent home automation or domotics (from the Latin word domus, that means “home”, and informatics). In particular, in-house video surveillance can provide good support for people with some difficulties (e.g. elderly or disabled people) living alone and with limited autonomy. A key aspect in video surveillance systems for domotics is that of analyzing behaviours of the monitored people. To accomplish this task, people must be detected and tracked, and their posture must be analyzed in order to model behaviours recognizing abrupt changes in it. Problems related to reliable software solutions are not completely solved, in particular luminance changes, shadows and frequent posture changes must be taken into account. Long-lasting occlusions are common due to the proximity of the cameras and the presence of furniture and doors that can often hide parts of a person’s body. For these reasons, a probabilistic and appearance-based tracking, particularly conceivable for people tracking and posture classification, has been developed. However, despite its effectiveness for long-lasting and large occlusions, this approach tends to fail whenever the person is monitored with multiple cameras and he appears in one of them already occluded. Different views provided by multiple cameras can be exploited to solve occlusions by warping known object appearance into the occluded view. To this aim, this paper describes an approach to posture classification based on projection histograms, reinforced by HMM for assuring temporal coherence of the posture.

2005 Relazione in Atti di Convegno

MPEG-7 Compliant Shot Detection in Sport Videos

Authors: Grana, Costantino; Tardini, Giovanni; Cucchiara, Rita

In this paper we propose a system for automatic detection of shots in sport videos. Our work covers two main … (Read full abstract)

In this paper we propose a system for automatic detection of shots in sport videos. Our work covers two main aspects: the first is robust shot detection in presence of fast object motion and camera operations. To this aim we propose a new algorithm, unique for both cuts and linear transitions detection, which only needs the tuning of two parameters. An extended comparison with four transition detection algorithms, representing the state of the art in literature, is reported. Examples with formula 1, basket, soccer and cycling videos are analyzed. The second aspect is an in depth discussion on the annotation of shots and transitions with the MPEG-7 standard.

2005 Relazione in Atti di Convegno

Page 50 of 51 • Total publications: 507