As there come to be more applications of intelligent robots, their task object is becoming
more varied. However, it is still a challenge for a robot to handle unfamiliar objects. We …

Tracking the 6-degree-of-freedom (6D) object pose in video sequences is gaining attention
because it has a wide application in multimedia and robotic manipulation. However, current …

Although deep-learning-based multi-object tracking (MOT) approaches have achieved
remarkable performances in terms of accuracy and efficiency, the issue of object occlusions …

Region-based methods have become the state-of-art solution for monocular 6-DOF object
pose tracking in recent years. However, two main challenges still remain: the robustness to …

Both region-based methods and direct methods have become popular in recent years for
tracking the 6-dof pose of an object from monocular video sequences. Region-based …

Region-based methods are currently achieving state-of-the-art performance for monocular
3D object tracking. However, they are still prone to fail in cases of partial occlusions and …

Maintaining identity consistency and avoiding ID-switch during tracking is one of the primary
focuses of multiple object tracking (MOT). One-shot MOT methods which jointly learn the …

Future autonomous spacecraft rendezvous with uncooperative or unprepared objects will be
enabled by vision-based navigation, which imposes great computational challenges …

To deal with occlusion is one of the most challenging problems for monocular 6-DOF object
pose tracking. In this letter, we propose a novel 6-DOF object pose tracking method which is …

Monocular object pose tracking has been a key technology in autonomous rendezvous of
two moving platforms. However, rapid relative motion between platforms causes large …