Multiple radar systems represent an attractive option for target tracking because they can
significantly enlarge the area coverage and improve both the probability of trajectory …

Robustness and efficiency are the two main goals of existing trackers. Most robust trackers
are implemented with combined features or models accompanied with a high computational …

Multi-target tracking among different types of sensors is facing great challenge in fully
utilizing various types of measurements. To this end, this paper presents a measurement …

This paper presents a novel filter for jointly tracking and classification (JTC) of maneuvering
extended targets using the standard probability hypothesis density (PHD) framework. For an …

In this paper, the five fundamental issues of target extension, target maneuvering, closely
spaced targets, weak targets, and dense clutter are tackled simultaneously in the framework …

Hough Transform (HT), which has a low sensitivity to local faults and good ability in
suppressing noise and clutters, usually applies to trajectory detection in a cluttered …

Extended target Gaussian mixture probability hypothesis density (ET-GM-PHD) filter is a
promising approach for multi-extended target tracking problem. Correct partitions of …

This work presents a gamma box-particle implementation of the ellipse extended target
cardinality balanced multi-target multi-Bernoulli (ET-CBMeMBer) filter, named the ellipse …

The simultaneous imaging and tracking of drones and small UAVs is one of the most
challenging problems in inverse synthetic aperture radar (ISAR) signal processing and has …

A gamma box particle (GBP) implementation of the extended target generalized labeled
multi-Bernoulli (ET-GLMB) filter is proposed in this paper, named the ET-GBP-GLMB filter …