Probabilistic data association filter
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A new approximation of the Bayes posterior target process for the tracking of a known number of targets is presented. The new… (More)
Most conventional target tracking algorithms assume that a target can generate at most one measurement per scan. However, there… (More)
This paper presents the Smoothed Probabilistic Data Association Filter (SmPDAF) that attempts to improve the Gaussian… (More)
A standard assumption in most tracking algorithms, like the Probabilistic Data Association (PDA) filter, Multiple Hypothesis… (More)
In many surveillance problems the observed objects are so closely spaced that they cannot always be resolved by the sensor(s… (More)
The measurement selection for updating the state estimate of a target's track, known as data association, is essential for good… (More)
This paper presents a framework for multiple body part tracking based on a probabilistic data association (DA) filter. The body… (More)
- IEEE Transactions on Medical Imaging
This paper presents a novel segmentation technique for extracting cavity contours from ultrasound images. The problem is first… (More)
Multitarget tracking problems are theoretically interesting because, unlike other estimation problems, the origins of the… (More)
- IEEE Trans. Pattern Anal. Mach. Intell.
ÐWe describe a framework that explicitly reasons about data association to improve tracking performance in many difficult visual… (More)