The advances of Visual object tracking tasks in computer vision have enabled a growing
value in its application to video surveillance, particularly in a traffic scenario. In recent years …

In a point cloud sequence, 3D object tracking aims to predict the location and orientation of
an object in the current search point cloud given a template point cloud. Motivated by the …

Person re-identification (re-ID) aims to recognize instances of the same person contained in
multiple images taken across different cameras. Existing methods for re-ID tend to rely …

With the prevalent use of LiDAR sensors in autonomous driving, 3D point cloud object
tracking has received increasing attention. In a point cloud sequence, 3D object tracking …

Humans are able to continuously detect and track surrounding objects by constructing a
spatial-temporal memory of the objects when looking around. In contrast, 3D object …

In photoelectric countermeasure systems, the infrared imaging of missiles is critical for
automatic recognition and tracking technology of aerial targets. However, complex and …

3D multi-object tracking is an important component in robotic perception systems such as
self-driving vehicles. Recent work follows a tracking-by-detection pipeline, which aims to …

Multi-object tracking (MOT) and trajectory forecasting are two critical components in modern
3D perception systems that require accurate modeling of multi-agent interaction. We …

The classical “modular and cascaded” autonomy stack (object detection, then tracking,
trajectory prediction, then motion planning and control) has been widely used in industry for …

In the field of autonomous driving, 3D multi-object tracking (MOT) plays an important role as
one of the key tasks in the overall perception system, which ensures efficient and safe …