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A Fully Automated Distributed Multiple-Target Tracking and Identity Management Algorithm
Songhwai Oh, Inseok Hwang, Kaushik Roy, and Shankar Sastry

Citation
Songhwai Oh, Inseok Hwang, Kaushik Roy, and Shankar Sastry. "A Fully Automated Distributed Multiple-Target Tracking and Identity Management Algorithm". AIAA Guidance, Navigation, and Control Conference, August, 2005.

Abstract
In this paper, we consider the problem of tracking multiple targets and managing their identities in sensor networks. Each sensor is assumed to be able to track multiple targets, manage the identities of targets within its surveillance region, and communicate with its neighboring sensors. The problem is complicated by the fact that the number of targets within the surveillance region of a sensor changes over time. We propose a scalable distributed multiple-target tracking and identity management (DMTIM) algorithm that can track multiple targets and manage their identities efficiently in a distributed sensor network environment. DMTIM finds a globally consistent solution by maintaining local consistency among neighboring sensors. DMTIM consists of data association, multiple-target tracking, identity management, and information fusion. The data association and multiple-target tracking problems are efficiently solved by Markov chain Monte Carlo data association (MCMCDA) which can track an unknown number of targets. DMTIM manages identities of targets by incorporating local information and maintains local consistency among neighboring sensors via information fusion.

Electronic downloads

Citation formats  
  • HTML
    Songhwai Oh, Inseok Hwang, Kaushik Roy, and Shankar Sastry.
    <a href="http://www.truststc.org/pubs/49.html"
    >A Fully Automated Distributed Multiple-Target Tracking
    and Identity Management Algorithm</a>, AIAA Guidance,
    Navigation, and Control Conference, August, 2005.
  • Plain text
    Songhwai Oh, Inseok Hwang, Kaushik Roy, and Shankar Sastry.
    "A Fully Automated Distributed Multiple-Target Tracking
    and Identity Management Algorithm". AIAA Guidance,
    Navigation, and Control Conference, August, 2005.
  • BibTeX
    @inproceedings{OhHwangRoySastry05_FullyAutomatedDistributedMultipleTargetTrackingIdentity,
        author = {Songhwai Oh, Inseok Hwang, Kaushik Roy, and
                  Shankar Sastry},
        title = {A Fully Automated Distributed Multiple-Target
                  Tracking and Identity Management Algorithm},
        booktitle = {AIAA Guidance, Navigation, and Control Conference},
        month = {August},
        year = {2005},
        abstract = {In this paper, we consider the problem of tracking
                  multiple targets and managing their identities in
                  sensor networks. Each sensor is assumed to be able
                  to track multiple targets, manage the identities
                  of targets within its surveillance region, and
                  communicate with its neighboring sensors. The
                  problem is complicated by the fact that the number
                  of targets within the surveillance region of a
                  sensor changes over time. We propose a scalable
                  distributed multiple-target tracking and identity
                  management (DMTIM) algorithm that can track
                  multiple targets and manage their identities
                  efficiently in a distributed sensor network
                  environment. DMTIM finds a globally consistent
                  solution by maintaining local consistency among
                  neighboring sensors. DMTIM consists of data
                  association, multiple-target tracking, identity
                  management, and information fusion. The data
                  association and multiple-target tracking problems
                  are efficiently solved by Markov chain Monte Carlo
                  data association (MCMCDA) which can track an
                  unknown number of targets. DMTIM manages
                  identities of targets by incorporating local
                  information and maintains local consistency among
                  neighboring sensors via information fusion.},
        URL = {http://www.truststc.org/pubs/49.html}
    }
    

Posted by Songhwai Oh on 5 Apr 2006.
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