In the realm of video object tracking auxiliary modalities such as depth thermal or event data
have emerged as valuable assets to complement the RGB trackers. In practice most existing …

Multi-object tracking (MOT) involves the prediction of object identities and their
corresponding bounding boxes within video or image sequences. While numerous models …

Effective collision risk reduction in autonomous vehicles relies on robust and straightforward
pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly …

Abstract Multi-Object Tracking, also known as Multi-Target Tracking, is an important area of
computer vision with various applications in different domains. The advent of deep learning …

Not enough studies have examined how specific design features of public open space, such
as movable site features, are associated with people's physical activity level or playfulness …

This survey covers an in-depth review of the state-of-the-art research on Multi-Object
Tracking (MOT) from research articles published in 2019 or later in top-tier journals and …

We propose a 3D multi-object tracking (MOT) solution using only 2D detections from
monocular cameras, which automatically initiates/terminates tracks as well as resolves track …

Recently, the tracking-by-detection methods have achieved excellent performance in Multi-
Object Tracking (MOT), which focuses on obtaining a robust feature for each object and …

Occlusion remains one of the major challenges in person reidentification (ReID) due to the
diversity of poses and the variation of appearances. Developing novel architectures to …

The anchor-free one-shot models, which localize the detections and extract embeddings by
estimating center points in a single network have been proven highly effective in multi-object …