Recently, Multi-Object Tracking (MOT) has attracted rising attention, and accordingly,
remarkable progresses have been achieved. However, the existing methods tend to use …

Abstract Multiple Object Tracking (MOT) has emerged as a hot issue in the field of computer
vision recently. MOT has academic and commercial potential in urban public security …

Recent developments in monocular multi-object tracking have been very successful in
tracking visible objects and bridging short occlusion gaps, mainly relying on data-driven …

The association task of assigning detections to tracks in multi-person tracking has recently
been improved by integration of a second matching stage for low-confident detections that …

Joint detection and embedding (JDE) methods usually fuse the target motion information
and appearance information as the data association matrix, which could fail when the target …

The speed of tracking-by-detection (TBD) greatly depends on the number of running a
detector because the detection is the most expensive operation in TBD. In many practical …

Tracking a time-varying indefinite number of objects in a video sequence over time remains
a challenge despite recent advances in the field. Most existing approaches are not able to …

Despite recent progress in Multiple Object Tracking (MOT), several obstacles such as
occlusions, similar objects, and complex scenes remain an open challenge. Meanwhile, a …

Current approaches in Multiple Object Tracking (MOT) rely on the spatio-temporal
coherence between detections combined with object appearance to match objects from …

Abstract Information perception is crucial in MOT tasks. Recent approaches use positional,
motion, and appearance information to model object states. However, in scenes involving …