Abstract: Fast and accurate three-dimensional (3D) Multiple Object Detection and Tracking (3DMODT) is a critical task for autonomous vehicles to perceive their surroundings and make safe decisions.

Abstract: LiDAR-based single object tracking plays a key role in intelligent vehicles. Current methods typically follow appearance matching or motion-centric frameworks. However, point clouds are ...

As an important application in the field of computer vision in recent years, multi-object tracking (MOT) has been widely used in video surveillance, urban security, automatic vehicle systems, and ...

We provide a dataset for object detection and tracking in aerial imagery, namely “M3OT”. M3OT is a multi-modality vehicle detection and tracking dataset acquired by two Unmanned Aerial Vehicles (UAVs) ...

This repository is the official release code for our ECCV24 paper HVTrack. We explore a new task in 3D SOT, and presented the first 3D SOT framework for high temporal variation scenarios, HVTrack. Its ...

This repository hosts a full Integrated Training Environment. You can train your own neural network models directly in the web browser and interactively monitor the ...

The evolution of augmented reality (AR) has consistently pushed the boundaries of how we interact with the world around us. One of the most transformative developments in this space is object tracking ...