Real-time multiple object tracking plays a pivotal role in autonomous driving applications,
particularly in real-world applications. Current methods in various domains often face an …

Multi-object tracking has recently become an important area of computer vision, especially
for Advanced Driver Assistance Systems (ADAS). Despite growing attention, achieving high …

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 …

In recent years, tracking-by-detection has become the most popular multi-object tracking
(MOT) method, and deep convolutional neural networks (CNNs)-based appearance features …

In the field of computer vision, multi-object tracking (MOT) is a crucial task. It involves the
identification, tracking, and classification of multiple objects in videos, connecting their …

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 …

Data association-based multiple object tracking (MOT) involves multiple separated modules
processed or optimized differently, which results in complex method design and requires …

Many multi-object tracking (MOT) methods follow the framework of" tracking by detection",
which associates the target objects-of-interest based on the detection results. However, due …

Multi-object tracking (MOT) is a task to identify objects in videos, however, objects with
similar appearance or occlusion may cause frequent ID switching, which is the main …

Multiple object tracking (MOT) methods based on single object tracking are of great interest
because of their ability to balance efficiency and performance on the strength of the …