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Track Before Detect Algorithms

  1. Research Article

    Tracking Using Continuous Shape Model Learning in the Presence of Occlusion

    This paper presents a Bayesian framework for a new model-based learning method, which is able to track nonrigid objects in the presence of occlusions, based on a dynamic shape description in terms of a set of ...

    M. Asadi and C. S. Regazzoni

    EURASIP Journal on Advances in Signal Processing 2008 2008:250780

    Published on: 12 February 2008

  2. Research Article

    Detecting and Georegistering Moving Ground Targets in Airborne QuickSAR via Keystoning and Multiple-Phase Center Interferometry

    SAR images experience significant range walk and, without some form of motion compensation, can be quite blurred. The MITRE-developed Keystone formatting simultaneously and automatically compensates for range ...

    P. K. Sanyal, D. M. Zasada and R. P. Perry

    EURASIP Journal on Advances in Signal Processing 2008 2008:762505

    Published on: 1 January 2008

  3. Research Article

    Low Complexity Track Initialization from a Small Set of Non-Invertible Measurements

    Target tracking from non-invertible measurement sets, for example, incomplete spherical coordinates measured by asynchronous sensors in a sensor network, is a task of data fusion present in a lot of applicatio...

    Christian R. Berger, Martina Daun and Wolfgang Koch

    EURASIP Journal on Advances in Signal Processing 2007 2008:756414

    Published on: 9 December 2007

  4. Research Article

    A Comparison of Detection Performance for Several Track-before-Detect Algorithms

    A typical sensor data processing sequence uses a detection algorithm prior to tracking to extract point measurements from the observed sensor data. Track before detect (TBD) is a paradigm which combines target...

    Samuel J. Davey, Mark G. Rutten and Brian Cheung

    EURASIP Journal on Advances in Signal Processing 2007 2008:428036

    Published on: 15 November 2007

  5. Research Article

    ML-PDA: Advances and a New Multitarget Approach

    Developed over 15 years ago, the maximum-likelihood-probabilistic data association target tracking algorithm has been demonstrated to be effective in tracking very low observable (VLO) targets where target sig...

    Wayne Blanding, Peter Willett and Yaakov Bar-Shalom

    EURASIP Journal on Advances in Signal Processing 2007 2008:260186

    Published on: 6 November 2007

  6. Research Article

    State Space Initiation for Blind Mobile Terminal Position Tracking

    Blind localization and tracking of mobile terminals in urban scenarios is an important requirement for offering new location-based services, handling emergency cases of nonsubscribed users, public safety, coun...

    Vadim Algeier, Bruno Demissie, Wolfgang Koch and Reiner Thomä

    EURASIP Journal on Advances in Signal Processing 2007 2008:394219

    Published on: 25 October 2007

  7. Research Article

    On Sequential Track Extraction within the PMHT Framework

    Tracking multiple targets in a cluttered environment is a challenging task. Probabilistic multiple hypothesis tracking (PMHT) is an efficient approach for dealing with it. Essentially PMHT is based on expectat...

    Monika Wieneke and Wolfgang Koch

    EURASIP Journal on Advances in Signal Processing 2007 2008:276914

    Published on: 24 October 2007

  8. Research Article

    Sequential Monte Carlo Methods for Joint Detection and Tracking of Multiaspect Targets in Infrared Radar Images

    We present in this paper a sequential Monte Carlo methodology for joint detection and tracking of a multiaspect target in image sequences. Unlike the traditional contact/association approach found in the liter...

    Marcelo G. S. Bruno, Rafael V. Araújo and Anton G. Pavlov

    EURASIP Journal on Advances in Signal Processing 2007 2008:217373

    Published on: 14 August 2007

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