Context-Enhanced Information Fusion
Boosting Real-World Performance with Domain Knowledge
Chapter and Conference Paper
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...
Chapter and Conference Paper
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...
Chapter
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...
Book
Chapter
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 ...
Chapter
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...
Chapter
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...
Chapter
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 ...
Chapter
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...
Chapter
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...
Chapter and Conference Paper
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,...
Chapter and Conference Paper
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...
Chapter
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...
Article
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...
Chapter and Conference Paper
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...
Article
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...
Chapter and Conference Paper
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 ...
Chapter and Conference Paper
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...