Skip to main content

and
  1. No Access

    Chapter and Conference Paper

    DepthOBJ: A Synthetic Dataset for 3D Mesh Model Retrieval

    In this work, we aim to obtain category-based 3D mesh models in .OBJ format through a Deep Neural Network from a single depth map. We introduce DepthOBJ, a synthetic dataset consisting of 3D mesh models divide...

    Francesco Carrabino, Lauro Snidaro in Pattern Recognition. ICPR International Wo… (2021)

  2. No Access

    Chapter and Conference Paper

    Deep Neural Networks for Real-Time Remote Fall Detection

    We present a pose estimation, Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) based fall detection method. Our RNN takes time series of 2D body poses as inputs. Each pose is made of 34 nu...

    Andrea Apicella, Lauro Snidaro in Pattern Recognition. ICPR International Wo… (2021)

  3. No Access

    Chapter

    Quality, Context, and Information Fusion

    Context has received significant attention in recent years within the information fusion community as it can bring several advantages to fusion processes by allowing for refining estimates, explaining observat...

    Galina L. Rogova, Lauro Snidaro in Information Quality in Information Fusion … (2019)

  4. No Access

    Book

  5. No Access

    Chapter

    Context for Dynamic and Multi-level Fusion

    The understanding and principled exploitation of contextual information in fusion systems is still very limited. Domain knowledge is generally acquired from an expert and applied to stove-piped solutions that ...

    Lauro Snidaro, Ingrid Visentini in Context-Enhanced Information Fusion (2016)

  6. No Access

    Chapter

    Contextual Tracking Approaches in Information Fusion

    Many information fusion solutions work well in the intended scenarios; but the applications, supporting data, and capabilities change over varying contexts. One example is weather data for electro-optical targ...

    Erik Blasch, Chun Yang, Jesús García, Lauro Snidaro in Context-Enhanced Information Fusion (2016)

  7. No Access

    Chapter

    Architectural Aspects for Context Exploitation in Information Fusion

    This chapter describes a proposed architecture to integrate context sources in fusion processes in a general way, so that any fusion system in which contextual knowledge is available can be developed following...

    Jesús García, Lauro Snidaro, James Llinas in Context-Enhanced Information Fusion (2016)

  8. No Access

    Chapter

    Multi-level Fusion of Hard and Soft Information for Intelligence

    Driven by the underlying need for an as yet undeveloped framework for fusing heterogeneous data and information at different semantic levels coming from both sensory and human sources, we present some results ...

    Joachim Biermann, Jesús García, Ksawery Krenc in Context-Enhanced Information Fusion (2016)

  9. No Access

    Chapter

    Network Methods and Plan Recognition for Fusion in Crisis Management

    Building and updating a situational picture of the scenario under consideration is the goal of the Situation Assessment (SA) Information Fusion (IF) process. The scenario generally involves multiple entities a...

    Lauro Snidaro, Ingrid Visentini in Fusion Methodologies in Crisis Management (2016)

  10. No Access

    Chapter

    Context and Fusion: Definitions, Terminology

    This chapter attempts to cover two topics which themselves are complex and multidisciplinary: the concept of “Context” and the concept of “ , both of which have long histories of research publications. This ch...

    James Llinas, Lauro Snidaro, Jesús García in Context-Enhanced Information Fusion (2016)

  11. Chapter and Conference Paper

    Audio-Video Analysis of Musical Expressive Intentions

    This paper presents a preliminary study on the relation between audio-video streams and high-level information related to expressive nuances. A violinist was asked to play three musical excerpts several times,...

    Ingrid Visentini, Antonio Rodà in Image Analysis and Processing – ICIAP 2011 (2011)

  12. No Access

    Chapter and Conference Paper

    Context Representation and Fusion via Likelihood Masks for Target Tracking

    The inclusion of contextual information in low-level fusion processes is a promising research direction still scarcely explored. In this paper we propose a framework for integrating contextual knowledge in a f...

    Lauro Snidaro, Ingrid Visentini, Gian Luca Foresti in Hybrid Artificial Intelligent Systems (2011)

  13. No Access

    Chapter

    Data Fusion in Modern Surveillance

    The performances of the systems that fuse multiple data coming from different sources are deemed to benefit from the heterogeneity and the diversity of the information involved. The rationale behind this theor...

    Lauro Snidaro, Ingrid Visentini in Innovations in Defence Support Systems – 3 (2011)

  14. No Access

    Article

    Cascaded online boosting

    In this paper, we propose a cascaded version of the online boosting algorithm to speed-up the execution time and guarantee real-time performance even when employing a large number of classifiers. This is the c...

    Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti in Journal of Real-Time Image Processing (2010)

  15. No Access

    Chapter and Conference Paper

    Sensor Management: A New Paradigm for Automatic Video Surveillance

    In this paper we discuss the new paradigm of Sensor Management that could be taken into consideration for the design of next generation surveillance systems. The paradigm is meant to optimize the sensing capab...

    Lauro Snidaro, Ingrid Visentini in Hybrid Artificial Intelligence Systems (2010)

  16. No Access

    Article

    Methodologies and tools for audio digital archives

    In response to the proposal of digitizing the entire back-run of several European audio archives, many research projects have been carried out in order to discover the technical issues involved in making prest...

    Nicola Orio, Lauro Snidaro, Sergio Canazza in International Journal on Digital Libraries (2009)

  17. No Access

    Chapter and Conference Paper

    Automatic Video Surveillance of Harbour Structures

    Since 9/11 naval structures and facilities have been recognized as potential critical targets of terrorist acts. Consequently, harbour protection has become a debated topic due to the difficulties inherent in ...

    Lauro Snidaro, Gian Luca Foresti in Harbour Protection Through Data Fusion Tec… (2009)

  18. Chapter and Conference Paper

    Vehicle Detection and Tracking for Traffic Monitoring

    This paper addresses some of the indications of the European Union for road safety by proposing a real-time traffic monitoring system for vehicle detection and tracking in bad illuminated scenarios. Several ur...

    Gian Luca Foresti, Lauro Snidaro in Image Analysis and Processing – ICIAP 2005 (2005)