This paper provides a literature review of some of the most important concepts, techniques,
and methodologies used within autonomous car systems. Specifically, we focus on two …

Abstract Multiple Object Tracking (MOT) has gained increasing attention due to its academic
and commercial potential. Although different approaches have been proposed to tackle this …

Abstract Multi-Target Multi-Camera Tracking (MTMCT) tracks many people through video
taken from several cameras. Person Re-Identification (Re-ID) retrieves from a gallery images …

To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a
new pair of precision-recall measures of performance that treats errors of all types uniformly …

Multiple Object Tracking (MOT) plays an important role in solving many fundamental
problems in video analysis and computer vision. Most MOT methods employ two steps …

Recently, tracking-by-detection has become a popular paradigm in Multiple-object tracking
(MOT) for its concise pipeline. Many current works first associate the detections to form track …

We present an extension to the disjoint paths problem in which additional lifted edges are
introduced to provide path connectivity priors. We call the resulting optimization problem the …

Models for computer vision are commonly defined either wrt low-level concepts such as
pixels that are to be grouped, or wrt high-level concepts such as semantic objects that are to …

This paper proposes a new 3D multi-object tracker to more robustly track objects that are
temporarily missed by detectors. Our tracker can better leverage object features for 3D Multi …

Abstract The Frank-Wolfe (FW) optimization algorithm has lately re-gained popularity thanks
in particular to its ability to nicely handle the structured constraints appearing in machine …