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Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on

Date 5-8 July 2011

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Displaying Results 1 - 25 of 292
  • Table of contents

    Publication Year: 2011, Page(s):1 - 24
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  • Technical Program Committee

    Publication Year: 2011, Page(s):8 - 9
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  • Our sponsors

    Publication Year: 2011, Page(s): 1
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  • [Front matter]

    Publication Year: 2011, Page(s):1 - 35
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  • Organizing Committee

    Publication Year: 2011, Page(s): 1
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  • Multi-sensor data fusion: An unscented least squares approach

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (355 KB) | HTML iconHTML

    This manuscript provides an approach to solve the nonlinear least squares problem that arises in decentralized fusion. Even though almost all sensor noise can be modeled as additive noise, the additive nature of the measurement noise is lost when the signal is processed at the sensor node. The proposed approach employs the unscented transformation before the estimation problem at the central node ... View full abstract»

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  • An extended target tracking method with random finite set observations

    Publication Year: 2011, Page(s):1 - 6
    Cited by:  Papers (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (471 KB) | HTML iconHTML

    A target is denoted extended when the target extent is larger than the sensor resolution. A tracking algorithm should be capable of estimating the target extent in addition to the state of the centroid. This paper addresses the problem of tracking an extended target with unknown parameter about the target extent. The extended target is regarded as a spatial distribution model, and the target exten... View full abstract»

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  • Decomposed particle filtering and track swap estimation in tracking two closely spaced targets

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (6)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (542 KB) | HTML iconHTML

    In a preceding paper at Fusion 2009, the existence and characterization of a unique decomposition of the joint conditional density of the states of two targets has been proven. This decomposition consists of a weighted sum of a permutation invariant density and a permutation strictly variant density. In the current paper we exploit this unique decomposition for the development of a novel particle ... View full abstract»

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  • Particle filter for extracting target label information when targets move in close proximity

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (2601 KB) | HTML iconHTML

    This paper addresses the problem of approximating the posterior probability density function of two targets after a crossing from the Bayesian perspective such that the information about target labels is not lost To this end, we develop a particle filter that is able to maintain the inherent multimodality of the posterior after the targets have moved in close proximity. Having this approximation a... View full abstract»

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  • Particle based probability density fusion with differential Shannon entropy criterion

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (590 KB) | HTML iconHTML

    This paper focuses on a decentralised nonlinear estimation problem in a multiple sensor network. The stress is laid on the optimal fusion of probability densities conditioned by different data. The probability density conditioned by the common data is supposed to be unavailable. The optimal fusion is elaborated in the particle filtering and differential Shannon entropy framework. The conversion of... View full abstract»

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  • Random finite set Markov Chain Monte Carlo predetection fusion

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (252 KB) | HTML iconHTML

    Predetection fusion is an efficient (and, depending on what underlies it, indispensable) way to process high volume data from large networks of low quality sensors and thus, an aid to multisensor multitarget tracking. In previous work we derived both the GLRT (presumably “optimal”) technique and a more practicable contact-sifting variant. Unfortunately, the gaps between the two in te... View full abstract»

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  • Hybrid intensity and likelihood ratio tracking (iLRT) filter for multitarget detection

    Publication Year: 2011, Page(s):1 - 8
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (4077 KB) | HTML iconHTML

    A particle version of a PHD / Intensity filter is coupled with a cumulative log-likelihood ratio (CLLR) detector to enable multiple target detection and track extraction. The filter provides each particle with a path history, or target trajectory. The CLLR evaluated for such a particle path is the quickest possible detector of target presence on the path. This hybrid approach is useful because tra... View full abstract»

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  • Clutter rejection by clustering likelihood-based similarities

    Publication Year: 2011, Page(s):1 - 6
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (187 KB) | HTML iconHTML

    We implement and evaluate a likelihood-based method to cluster contacts in a multistatic active sonar setting. The underlying assumption is that a true contact will be detected by multiple receivers and any aspect-dependent feature must be consistent across all contacts in a cluster. Contacts which are contained in the same cluster can be appropriately fused and passed into a tracker. Clutter cont... View full abstract»

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  • A comparison of the ML-PDA and the ML-PMHT algorithms

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (283 KB) | HTML iconHTML

    The Maximum Likelihood Probabilistic Data Association (ML-PDA) tracker and the Maximum Likelihood Probabilistic Multi-Hypothesis (ML-PMHT) tracker were applied to five synthetic multistatic active sonar scenarios featuring multiple targets, multiple sources, and multiple receivers. For each of the scenarios, Monte Carlo testing was performed to quantify the performance differences between the two ... View full abstract»

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  • Forecasting probability of target presence for ping control in multistatic sonar networks using detection and tracking models

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (396 KB) | HTML iconHTML

    This paper describes the forecasting of probability of target presence in a search area (also referred to as the PT map) considering both detection and non-detection conditions. Tracking results are also incorporated to obtain a more accurate PT map under the detection condition. The probability of target presence is a suitable metric for real-time ping control for a submarine search mission, whos... View full abstract»

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  • Design of nearly constant velocity track filters for brief maneuvers

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (394 KB) | HTML iconHTML

    When tracking maneuvering targets with conventional algorithms, the process noise standard deviation used in the nearly constant velocity Kalman filter is selected vaguely in relation to the maximum acceleration of the target. The deterministic tracking index has been introduced and used to develop a relationship between the maximum acceleration and the process noise variance that minimizes the ma... View full abstract»

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  • Tracking maneuvering targets with a soft bound on the number of maneuvers

    Publication Year: 2011, Page(s):1 - 8
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (208 KB) | HTML iconHTML

    We revisit the problem of tracking the state of a hybrid system capable of performing a bounded number of mode switches. In a previous paper we have addressed a version of the problem where we have assumed the existence of a deterministic, known hard bound on the number of mode transitions. In addition, it was assumed that the system can possess only two modes, e.g., the maneuvering and non-maneuv... View full abstract»

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  • Optimal parameterization of posterior densities using homotopy

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (8)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (279 KB) | HTML iconHTML

    In filtering algorithms, it is often desirable that the prior and posterior densities share a common density parameterization. This can rarely be done exactly. Instead it is necessary to seek a density from the same family as the prior which closely approximates the true posterior. We extend a method for computing the optimal parameter values for representing the posterior within a given parameter... View full abstract»

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  • Target localization and course change detection using bearing and bearing rate measurements

    Publication Year: 2011, Page(s):1 - 8
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (399 KB) | HTML iconHTML

    This paper addresses the problem of tracking a maneuvering target from passive measurements collected by a single observer. The target motion is characterized by several legs where in each leg the target moves with a constant speed and course. Course changes can be performed almost instantaneously. Furthermore, the observer takes either bearings-only or combined bearing and bearing rate measuremen... View full abstract»

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  • Sequential multiple-model detection of target maneuver termination

    Publication Year: 2011, Page(s):1 - 8
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (265 KB) | HTML iconHTML

    Although methods for target maneuver onset detection (MOD) abound, few have been proposed for target maneuver termination detection (MTD), since MOD is easier and considered more important. Without MTD, however, decision based maneuvering target tracking is not complete and may suffer from performance degradation and computational waste. This paper proposes sequential testing methods for MTD in th... View full abstract»

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  • Fusion of region and point-feature detections for measurement reconstruction in multi-target Kalman tracking

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1334 KB) | HTML iconHTML

    Object tracking in 2D video surveillance image data is one of the key needs for many follow-up operations such as object classification or activity recognition. In scenes with multiple objects crossing each other's way, there is a high potential for split and merge detections disturbing the tracking process. In these situations, it is helpful or even necessary to reconstruct the object-related mea... View full abstract»

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  • Multiple source data fusion via sparse representation for robust visual tracking

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (15)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (2447 KB) | HTML iconHTML

    Information from multiple heterogeneous data sources (e.g. visible and infrared) or representations (e.g. intensity and edge) have become increasingly important in many video-based applications. Fusion of information from these sources is critical to improve the robustness of related visual information processing systems. In this paper we propose a data fusion approach via sparse representation wi... View full abstract»

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  • Bicycle tracking using ellipse extraction

    Publication Year: 2011, Page(s):1 - 8
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (603 KB) | HTML iconHTML

    A new approach to track bicycles from imagery sensor data is proposed. It is based on detecting ellipsoids in the images, and treat these pair-wise using a dynamic bicycle model. One important application area is in automotive collision avoidance systems, where no dedicated systems for bicyclists yet exist and where very few theoretical studies have been published. Possible conflicts can be predic... View full abstract»

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  • Context-aided tracking with an adaptive hyperspectral sensor

    Publication Year: 2011, Page(s):1 - 8
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (710 KB) | HTML iconHTML

    A methodology for the context-aided-tracking of ground vehicles in remote airborne imagery is presented in which a background model is inferred from hyperspectral imagery. The functional materials in a scene are determined and become a background model. Here, a manual method of forming the model is presented, as well as a novel autonomous method which exploits the emerging class of adaptive multip... View full abstract»

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  • Visual tracking with generative template model based on Riemannian manifold of covariances

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (5315 KB) | HTML iconHTML

    Robust visual tracking is a research area that has many important applications. The main challenges include how the target image can be modeled and how this model can be updated. In this paper, we model the target using a covariance descriptor. This descriptor is robust to problems that commonly occur in visual tracking such as pixel-pixel misalignment, pose and illumination changes. We model the ... View full abstract»

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