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Information Fusion (FUSION), 2010 13th Conference on

Date 26-29 July 2010

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Displaying Results 1 - 25 of 295
  • [Front cover]

    Publication Year: 2010, Page(s): c1
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  • [Copyright notice]

    Publication Year: 2010, Page(s): 1
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  • Welcome message

    Publication Year: 2010, Page(s):1 - 2
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  • Table of contents

    Publication Year: 2010, Page(s):1 - 26
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  • Organising Committee

    Publication Year: 2010, Page(s):1 - 2
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  • Bayesian filtering with wavefunctions

    Publication Year: 2010, Page(s):1 - 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (560 KB)

    This paper describes a general framework for performing Bayesian filtering on probability density functions represented by the modulus squared of a wavefunction in an orthogonal function basis. The objective of this work is to find a sparse representation for high-dimensional non-Gaussian density functions enabling tractable implementations of the general Bayesian filtering problem. The general fo... View full abstract»

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  • GNSS pseudorange error density tracking using Dirichlet Process Mixture

    Publication Year: 2010, Page(s):1 - 7
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (398 KB)

    In satellite navigation system, classical localization algorithms assume that the observation noise is white-Gaussian. This assumption is not correct when the signal is reflected on the surrounding obstacles. That leads to a decrease of accuracy and of continuity of service. To enhance the localization performances, a better observation noise density can be use in an adapted filtering process. Thi... View full abstract»

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  • Augmentation to the Extended Kalman-Bucy filter for single target tracking

    Publication Year: 2010, Page(s):1 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (569 KB)

    Tracking agile aircraft under high accelerations generally demands sophisticated models for determining trajectories with desirable dynamics and accuracy. Often this raises complexity of the estimation algorithm as it gives rise to more elaborated methods for both taking model nonlinearities into account and handling a greater number of state variables that describe the model. The approach of this... View full abstract»

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  • Approximate propagation of both epistemic and aleatory uncertainty through dynamic systems

    Publication Year: 2010, Page(s):1 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (362 KB)

    When ignorance due to the lack of knowledge, modeled as epistemic uncertainty using Dempster-Shafer structures on closed intervals, is present in the model parameters, a new uncertainty propagation method is necessary to propagate both aleatory and epistemic uncertainty. The new framework proposed here, combines both epistemic and aleatory uncertainty into a second-order uncertainty representation... View full abstract»

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  • Adapting the state uncertainties of tracks to environmental constraints

    Publication Year: 2010, Page(s):1 - 7
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1228 KB)

    In most multi-target tracking algorithms it is assumed that the movements of the targets are statistically independent of each other. This assumption may lead to predictions which are not possible due to physical exclusions. Instead of integrating the dependence between the objects directly into the tracking module, we propose to handle scenarios with interactions between the tracked object and ot... View full abstract»

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  • Data association by loopy belief propagation

    Publication Year: 2010, Page(s):1 - 8
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (330 KB)

    Data association, or determining correspondence between targets and measurements, is a very difficult problem that is of great practical importance. In this paper we formulate the classical multi-target data association problem as a graphical model and demonstrate the remarkable performance that approximate inference methods, specifically loopy belief propagation, can provide. We apply it to calcu... View full abstract»

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  • New developments in flexible ID association-based tracking algorithm

    Publication Year: 2010, Page(s):1 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (397 KB)

    For robust data association performance, tracking algorithms available in the literature utilize kinematic as well as non-kinematic information. These algorithms, however, do not provide a systematic way to utilize non-kinematic information to resolve severe and prolonged association ambiguities in the past. In a previous work, we proposed a novel framework in which kinematic and non-kinematic inf... View full abstract»

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  • Passive multi-object localization and tracking using bearing data

    Publication Year: 2010, Page(s):1 - 7
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1243 KB)

    This paper addresses the problem of localization and tracking multiple non-cooperative objects using only passive bearing sensor data. The challenges in this context lie in an unknown number of objects, false alarms and clutter measurements. To avoid the time consuming data association and data storage, an iterative approach, which only considers the sensor data from the actual timestep for an upd... View full abstract»

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  • A multiframe assignment algorithm for single sensor bearings-only tracking

    Publication Year: 2010, Page(s):1 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (151 KB)

    Bearings-only tracking (BOT) using a single maneuvering platform has been studied extensively in the past. However, only a few studies exist in the open literature that deal with measurement origin uncertainty. Most publications are concerned with finding the best filtering approach, since BOT is inherently nonlinear, or finding the optimal maneuver strategy for the sensor platform to improve obse... View full abstract»

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  • PMHT for tracking with timing uncertainty

    Publication Year: 2010, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (190 KB)

    This paper considers the problem of tracking a target using measurements where the temporal information is noisy or unreliable. The measurements are modelled as being received with a stochastic time delay. By treating the true measurement time as missing data and using Expectation-Maximisation, a modified version of the Probabilistic Multi Hypothesis Tracker (PMHT) is derived for the uncertain tim... View full abstract»

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  • Image fusion for human observers: How should we choose the method?

    Publication Year: 2010, Page(s):1 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1104 KB)

    Image fusion is used to improve target detection and identification. In human-observer applications it is useful to rank fusion methods according to how well they assist the observer in a decision task. Two images (medium- and long-wave infrared), acquired for each of a number of outdoor scenes, were fused by each of nine methods. For each scene, a set of observers assessed each of the 36 pairwise... View full abstract»

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  • Multimodal feature fusion for video forgery detection

    Publication Year: 2010, Page(s):1 - 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (569 KB)

    In this paper we propose a novel local feature analysis and feature level fusion technique for detecting tampering or forgery for facial-biometric based on-line access control scenarios. The local features are extracted by analysing facial image data in the chrominance colour space and hue-saturation colour space. A feature level fusion of local features consisting of hue and saturation gradients ... View full abstract»

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  • Fusion of low bit-depth images for battle damage indication

    Publication Year: 2010, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (598 KB)

    This paper addresses the problem of extracting information from an infrared weapon seeker in the terminal phase of a guided weapon engagement. The challenge is to obtain enough information (in the form of images) immediately prior to impact to allow the impact point to be verified. The introduction of a radio data link onto a weapon allows information to be transmitted back to a remote operator, b... View full abstract»

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  • Image fusion based on Fast and Adaptive Bidimensional Empirical Mode Decomposition

    Publication Year: 2010, Page(s):1 - 6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1563 KB)

    The recently introduced Fast and Adaptive Bidimensional Empirical Mode Decomposition (FABEMD) method is evaluated in image fusion applications. The FABEMD method does not suffer from the problems related to the traditional two dimensional scattered data interpolation based EMD method. As a result, the quality of the extracted Bidimensional Intrinsic Mode Functions (BIMFs) are better and the whole ... View full abstract»

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  • Fusion of data from sources with different levels of trust

    Publication Year: 2010, Page(s):1 - 7
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (375 KB)

    In the context of this paper, trust is defined to be “a measure of to what degree an information source is believed to be capable of producing information that conforms to fact.” No standard method has been adopted by the intelligence community for fusing data from sources with different levels of trust. This paper proposes an approach that extends the standard application of Bayesia... View full abstract»

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  • Assessing confidence in Situation Awareness

    Publication Year: 2010, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (267 KB)

    Situation Awareness enables the discovery of aggregations and the identification of interesting patterns in underlying data that can be leveraged to further the understanding of the battlespace. While there have been steady efforts within the information fusion community to increase the level of automated reasoning supporting Situation Awareness, there remain unresolved issues such as the developm... View full abstract»

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  • Description of the Choquet Integral for tactical knowledge representation

    Publication Year: 2010, Page(s):1 - 7
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (229 KB)

    The goal of Combat Identification (CID), and as well, Situational Awareness (SA), is to combine data and information at the appropriate information representation in order to declare a positive ID according to a classification structure. CID includes the ultimate determination of the intent and prediction of future actions of an object or entity via the establishment of tactical knowledge. To faci... View full abstract»

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  • Revisiting the role of abductive inference in fusion domain

    Publication Year: 2010, Page(s):1 - 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (237 KB)

    Abductive inference plays a very important role in the fusion domain, seen as a “conceptual framework” driving the conjecturing and hypothesizing process mainly aimed to discover relationships. Unfortunately, despite the recent gained attention in several fields as philosophy of science and logic, and the ongoing debate, in the fusion domain almost only one kind of abductive inferenc... View full abstract»

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  • Emergent adaptive noise reduction from communal cooperation of sensor grid

    Publication Year: 2010, Page(s):1 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (248 KB)

    In the last decade, the realization of small, inexpensive, and powerful devices with sensors, computers, and wireless communication has promised the development of massive sized sensor networks with dense deployments over large areas capable of high fidelity situational assessments. However, most management models have been based on centralized control and research has concentrated on methods for ... View full abstract»

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  • Predicting an epidemic based on syndromic surveillance

    Publication Year: 2010, Page(s):1 - 8
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1032 KB)

    Early detection and prediction of the size and the peak time of an epidemic outbreak (malicious or natural) is of crucial importance for a timely medical response (quarantine, vaccination, etc). A conventional approach to this problem is based on large scale agent-based computer simulations. This paper proposes an alternative framework formulated in the context of stochastic nonlinear filtering. T... View full abstract»

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