This work presents the current state-of-the-art in techniques for tracking a number of objects
moving in a coordinated and interacting fashion. Groups are structured objects …

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 …

This paper is about tracking an extended object or a group target, which gives rise to a
varying number of measurements from different measurement sources. For this purpose, the …

This article proposes a solution of distributed multiple resolvable group targets tracking
(DMRGTT) by exploring the labeled multi-Bernoulli (LMB) filter and distributed fusion rules …

This article addresses the multiple resolvable group targets tracking (MRGTT) problem,
wherein the leader–follower (LF) model is adopted to evolve the group structure. Since there …

In this paper, we address the task of tracking groups of people in surveillance scenarios.
This is a major challenge in computer vision, since groups are structured entities, subjected …

A dynamic data driven adaptive multi-scale simulation (DDDAMS) based planning and
control framework is proposed for effective and efficient surveillance and crowd control via …

Hierarchy and leadership interactions commonly occur in animal groups, crowds of people,
and in vehicle motions. Such interactions are often affected by one or more individuals who …

In this paper, we address the problem of resolvable group target tracking (RGTT) and the
application of RGTT in the sensor control scenarios. The aim of our approach is to further …

Future self-driving cars and current ones with advanced driver assistance systems are
expected to interact with other traffic participants, which often are multiple other vehicles …