37 citations · 75 across the 4 of their papers we have counts for
4 papers
Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering
Changbeom Shim, Ba-Tuong Vo, Ba-Ngu Vo +2
Generalized Labeled Multi-Bernoulli (GLMB) densities arise in a host of multi-object system applications analogous to Gaussians in single-object filtering. However, computing the G…
A Moving Window Based Approach to Multi-scan Multi-Target Tracking
Diluka Moratuwage, Changbeom Shim, Yuthika Punchihewa
Multi-target state estimation refers to estimating the number of targets and their trajectories in a surveillance area using measurements contaminated with noise and clutter. In th…
Multi-Scan Multi-Sensor Multi-Object State Estimation
D. Moratuwage, B. -N. Vo, B. -T. Vo +1
If computational tractability were not an issue, multi-object estimation should integrate all measurements from multiple sensors across multiple scans. In this article, we propose…
Multi-object Tracking with an Adaptive Generalized Labeled Multi-Bernoulli Filter
Cong-Thanh Do, Tran Thien Dat Nguyen, Diluka Moratuwage +2
The challenges in multi-object tracking mainly stem from the random variations in the cardinality and states of objects during the tracking process. Further, the information on loc…