Tracking by detection paradigm is one of the most popular object tracking methods.
However, it is very dependent on the performance of the detector. When the detector has a …

Modern multiple object tracking (MOT) systems usually follow the tracking-by-detection
paradigm. It has 1) a detection model for target localization and 2) an appearance …

In recent years, anchor-free object detection models combined with matching algorithms are
used to achieve real-time muti-object tracking and also ensure high tracking accuracy …

Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects in
videos. Most methods obtain identities by associating detection boxes whose scores are …

Accurate data association is crucial in reducing confusion such as ID switches and
assignment errors in multi-object tracking (MOT). However existing advanced methods often …

The CenterTrack tracking algorithm achieves state-of-the-art tracking performance using a
simple detection model and single-frame spatial offsets to localize objects and predict their …

Despite considerable similarities between multiple object tracking (MOT) and single object
tracking (SOT) tasks, modern MOT methods have not benefited from the development of …

Due to balanced accuracy and speed, one-shot models which jointly learn detection and
identification embeddings, have drawn great attention in multi-object tracking (MOT) …

Appearance information is one of the most important matching indicators for multi-object
data association. In tracking by detection model, appearance information and detection …

Abstract Jointly Detection and Embedding (JDE) based approaches estimate bounding
boxes and embedding features of objects with a single network in multi-object tracking. Due …