We review the use of factor graphs for the modeling and solving of large-scale inference
problems in robotics. Factor graphs are a family of probabilistic graphical models, other …

This report contains a review of visual tracking in monocular video sequences. For the
purpose of this review, the majority of the visual trackers in the literature are divided into …

In this paper, we present incremental smoothing and mapping (iSAM), which is a novel
approach to the simultaneous localization and mapping problem that is based on fast …

The problem of multi-target tracking is comprised of two distinct, but tightly coupled
challenges:(i) the naturally discrete problem of data association, ie assigning image …

This paper presents a robust multi-class multi-object tracking (MCMOT) formulated by a
Bayesian filtering framework. Multi-object tracking for unlimited object classes is conducted …

The task of tracking multiple targets is often addressed with the so-called tracking-by-
detection paradigm, where the first step is to obtain a set of target hypotheses for each frame …

Automated tracking of animal movement allows analyses that would not otherwise be
possible by providing great quantities of data. The additional capability of tracking in real …

The detection and tracking of moving objects is an essential task in robotics. The CMU‐RI
Navlab group has developed such a system that uses a laser scanner as its primary sensor …

Tracking pedestrians is a vital component of many computer vision applications, including
surveillance, scene understanding, and behavior analysis. Videos of crowded scenes …

Abstract Switching Linear Dynamic System (SLDS) models are a popular technique for
modeling complex nonlinear dynamic systems. An SLDS can describe complex temporal …