The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …

Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …

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

We propose an online tracking algorithm that performs the object detection and data
association under a common framework, capable of linking objects after a long time span …

This paper explores a pragmatic approach to multiple object tracking where the main focus
is to associate objects efficiently for online and realtime applications. To this end, detection …

Satellite video cameras can provide continuous observation for a large-scale area, which is
important for many remote sensing applications. However, achieving moving object …

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 …

Multi-person tracking is often solved with a tracking-by-detection approach that matches all
tracks and detections simultaneously based on a distance matrix. In crowded scenes …

Video object detection is challenging because objects that are easily detected in one frame
may be difficult to detect in another frame within the same clip. Recently, there have been …

Multi-object tracking can be achieved by detecting objects in individual frames and then
linking detections across frames. Such an approach can be made very robust to the …