Corpus ID: 198167462

Fundamentals and Advances in Multiple-Hypothesis Tracking

  title={Fundamentals and Advances in Multiple-Hypothesis Tracking},
  author={S. Coraluppi},
  • S. Coraluppi
  • Published 2015
  • This manuscript describes the mathematical foundations of multiple-hypothesis tracking (MHT), a leading paradigm for multi-target tracking (MTT). We address aspects of track management, hypothesis pruning and aggregation, and the merits and limitations of centralized, distributed, and asynchronous processing for challenging multi-sensor surveillance applications. We extend the MHT formalism to the redundantmeasurement setting. Finally, we derive a useful expression to assist parameter selection… CONTINUE READING
    1 Citations

    Figures from this paper

    An MHT Approach to Multi-Sensor Passive Sonar Tracking
    • 6


    Multi-Stage Multiple-Hypothesis Tracking
    • 52
    • PDF
    Modified Scoring in Multiple-Hypothesis Tracking
    • 17
    • PDF
    MCMC and MHT Approaches to Multi-INT surveillance
    • 7
    Generalizations to the track-oriented MHT recursion
    • 7
    • Highly Influential
    A Multiple-Detection Joint Probabilistic Data Association Filter
    • 106
    A Multiple Hypothesis Tracker for Multitarget Tracking With Multiple Simultaneous Measurements
    • 67
    An equivalence-class approach to multiple-hypothesis tracking
    • 5
    Probabilistic Multi-Hypothesis Tracking
    • 291
    Tracking targets with multiple measurements per scan
    • 9
    Multiple-Target Tracking by Spatiotemporal Monte Carlo Markov Chain Data Association
    • Qian Yu, G. Medioni
    • Computer Science, Medicine
    • IEEE Transactions on Pattern Analysis and Machine Intelligence
    • 2009
    • 96
    • PDF