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Found 6 papers, 0 papers with code
Multiobject Tracking for Thresholded Cell Measurements
Our numerical results demonstrate the advantages of the proposed method that relies on thresholded cell measurements compared to the conventional multiobject tracking based on point measurements with and without AM.
Track Coalescence and Repulsion in Multitarget Tracking: An Analysis of MHT, JPDA, and Belief Propagation Methods
Joint probabilistic data association (JPDA) filter methods and multiple hypothesis tracking (MHT) methods are widely used for multitarget tracking (MTT).
A BP Method for Track-Before-Detect
Our proposed method is based on a new statistical model that introduces a new object hypothesis for each data cell of the raw sensor measurements.
An Efficient Labeled/Unlabeled Random Finite Set Algorithm for Multiobject Tracking
Only if a quantity characterizing the plausibility of object existence is above a threshold, a new labeled Bernoulli component is created and the object is tracked by the more accurate but more computationally demanding LMB part of the algorithm.
Track Coalescence and Repulsion: MHT, JPDA, and BP
In particular, JPDA suffers from the track coalescence effect, i. e., estimated tracks of targets in close proximity tend to merge and can become indistinguishable.
A Scalable Track-Before-Detect Method With Poisson/Multi-Bernoulli Model
We propose a scalable track-before-detect (TBD) tracking method based on a Poisson/multi-Bernoulli model.
