Multiple hypothesis tracking for multiple target tracking

@article{Blackman2004MultipleHT,
  title={Multiple hypothesis tracking for multiple target tracking},
  author={S. Blackman},
  journal={IEEE Aerospace and Electronic Systems Magazine},
  year={2004},
  volume={19},
  pages={5-18}
}
  • S. Blackman
  • Published 2004
  • Engineering
  • IEEE Aerospace and Electronic Systems Magazine
  • Multiple hypothesis tracking (MHT) is generally accepted as the preferred method for solving the data association problem in modern multiple target tracking (MTT) systems. This paper summarizes the motivations for MHT, the basic principles behind MHT and the alternative implementations in common use. It discusses the manner in which the multiple data association hypotheses formed by MHT can be combined with multiple filter models, such as used by the interacting multiple model (IMM) method. An… CONTINUE READING
    1,073 Citations

    Figures and Tables from this paper

    Fast data association approaches for multi-target tracking
    • 1
    Multiple hypothesis tracking in cluttered condition
    • 18
    • PDF
    A Library for Implementing the Multiple Hypothesis Tracking Algorithm
    • 13
    • PDF
    Multiple Detection Probabilistic Data Association filter for multistatic target tracking
    • 41
    • Highly Influenced
    • PDF
    Efficient multiple hypothesis tracking by track segment graph
    • 37
    • PDF
    Mixture reduction techniques for Multiple Hypothesis Tracking of targets in clutter
    • H. L. Kennedy
    • Computer Science
    • 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing
    • 2011
    • 3
    Multiple hypothesis tracking using clustered measurements
    • M. Wolf, J. Burdick
    • Mathematics, Computer Science
    • 2009 IEEE International Conference on Robotics and Automation
    • 2009
    • 6
    • PDF
    Optimized Multi-Sensor Multi-Target Tracking algorithm for air surveillance system
    • Anita Thite, A. Mishra
    • Engineering
    • 2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)
    • 2016
    • 1
    • Highly Influenced

    References

    SHOWING 1-10 OF 59 REFERENCES
    Multiple hypothesis tracking for a distributed multiple platform system
    • 1
    IM3HT algorithm: A joint formulation of IMM and MHT for multitarget tracking
    • 13
    Hot starts for track maintenance in multisensor multitarget tracking
    • 1
    Multiple frame cluster tracking
    • 12
    Multiple hypothesis track confirmation for infrared surveillance systems
    • 42
    Evaluating a multiple-hypothesis multitarget tracking algorithm
    • 31
    Application of MHT to group-to-object tracking
    • 5
    IMMJPDA versus MHT and Kalman filter with NN correlation: performance comparison
    • 77