Multitarget tracking (MTT) refers to the problem of jointly estimating the number of targets
and their states or trajectories from noisy sensor measurements. MTT has a long history …

We present a combined report on the results of three editions of the Cell Tracking
Challenge, an ongoing initiative aimed at promoting the development and objective …

Cell tracking in microscopy images is fundamental to new biological and medical
discoveries today. It facilitates the study of the properties of living cells over time. Due to the …

This paper extends the multiple-hypothesis tracking (MHT) recursion to allow for multiple
detections per target, per scan of data. We show that the generalized recursion admits the …

The Poisson multi-Bernoulli mixture (PMBM) and the multi-Bernoulli mixture (MBM) are two
multi-target distributions for which closed-form filtering recursions exist. The PMBM has a …

This paper proposes a distributed MHT approach to passive sonar tracking for a field of fixed
and moving sensors. It includes single-sensor narrowband and broadband measurement …

This paper provides advances in distributed MHT. Our specific challenge is to provide a
multi-sensor surveillance capability with disparate sensors: both active and passive sensors …

This paper introduces multi-target filtering advances for challenging multi-target tracking
scenarios. First, we propose an Interacting Multiple Model (IMM) filter for tracking evasive …

Statistical tracking filters depend on accurate target measurements and uncertainty
estimates for good tracking performance. In this work, we propose novel machine learning …

This manuscript describes the mathematical foundations of multiple-hypothesis tracking
(MHT), a leading paradigm for multi-target tracking (MTT). We address aspects of track …