The challenging task of multi-object tracking (MOT) requires simultaneous reasoning about track initialization, identity, and spatio-temporal trajectories. We formulate this task as a …
Y Dai, Z Hu, S Zhang, L Liu - Displays, 2022 - Elsevier
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 …
Multiple object tracking gained a lot of interest from researchers in recent years, and it has become one of the trending problems in computer vision, especially with the recent …
D Stadler, J Beyerer - Proceedings of the IEEE/CVF winter …, 2022 - openaccess.thecvf.com
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 …
Occlusion between different objects is a typical challenge in Multi-Object Tracking (MOT), which often leads to inferior tracking results due to the missing detected objects. The …
Y Wu, H Sheng, Y Zhang, S Wang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
For an intelligent transportation system, multiple object tracking (MOT) is more challenging from the traditional static surveillance camera to mobile devices of the Internet of Things …
Graphs offer a natural way to formulate Multiple Object Tracking (MOT) and Multiple Object Tracking and Segmentation (MOTS) within the tracking-by-detection paradigm. However …
X Yang, J Ye, J Lu, C Gong, M Jiang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Multi-Camera Multi-Target tracking (MCMT) is an essential task in intelligent transportation systems. It is highly challenging due to several problems such as heavy …
Z Cao, J Li, D Zhang, M Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
For tracking suspicious objects using intelligent robots, Multiple Object Tracking (MOT) has gained great attention. MOT is easily affected by long-term severe occlusion. This work …