Object tracking consists of reconstructing the configuration of an articulated body from a sequence of images provided by one or more cameras. In this paper we present a general method for pose estimation based on the evidential reasoning. The proposed framework integrates different levels of description of the object to improve robustness and precision, overcoming the limitations of approaches...

Evidential reasoning refers to inference mechanisms by which the evidence provided by a set of indicators is analyzed in order to gain better understanding of a given hypothesis, concept, situation, or phenomenon. Problem solving tasks of this nature include, for instance, medical diagnosis, , weather forecasting, corporate assessment, political crisi...

Some recently developed expert systems have used the ShaferDempster theory for reasoning from multiple bodies of evidence. Many expert-system applications require belief to be specified over arbitrary ranges of scalar variables, such as time, distance or sensor measurements. The utility of the existing ShaferDempster theory is limited by the lack of an effective approach for dealing with belief...

This paper presents an efficient adaptation and application of the Dempster-Shafer theory of evidence, one that can be used effectively in a massively parallel hierarchical system for visual pattern perception. It describes the techniques used, and shows in an extended example how they serve to improve the system's performance as it applies a multiple-level set of processes.

How do people make legal judgments based on complex bodies of interrelated evidence? This paper outlines a novel framework for evidential reasoning using causal idioms. These idioms are based on the qualitative graphical component of Bayesian networks, and are tailored to the legal context. They can be combined and reused to model complex bodies of legal evidence. This approach is applied to wi...

Linear-time computational techniques have been developed for combining evidence which is available on a number of contending hypotheses. They offer a means of making the computation-intensive calculations involved more efficient in certain circumstances. Unfortunately, they restrict the orthogonal sum of evidential functions to the dichotomous structure − applies only to elements and their comp...

The Self-Reconciling Evidential Database (SED) is a tool for intelligence analysts that combines a numerical uncertainty calculus with a process of higher-order reasoning about knowledge and assumptions. SED includes (1) a natural representation of evidential arguments in terms of a normal or firstblush reaction to the evidence plus a set of exception conditions, (2) a modeling technique that d...

In the evidential reasoning of human beings, stories play a role in providing an analytic account of the facts. In a legal aspect, the approach of legal reasoning, based on the notion of narratives with evidence, needs to be investigated and supported. The study aims to understand how lawyers cognitively process e-discovery cases, in order to find out the use of narrative in the e-discovery of ...

The paper develops an information fusion system that aims at supporting a commander’s decision making by providing an assessment of threat, that is an estimate of the extent to which an enemy platform poses a threat based on evidence about its intent and capability. Threat is modelled in the framework of the valuation-based system (VBS), by a network of entities and relationships between them. ...

This paper presents the evidential paradigm of computer-supported mathematical assistance in “doing” mathematics and in reasoning activity. At present, the evidential paradigm is implemented in the form of System for Automated Deduction (SAD). The system is based on the methods of automated theorem proving and is intended for intelligent mathematical text processing. It proves mathematical theo...