Abstract: Transformer-based architectures have introduced end-to-end solutions for Multiple Object Tracking (MOT), seamlessly integrating object detection and association. However, their high ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of Microsoft and Huazhong University researchers this week ...

Abstract: Robotic and autonomous driving platforms necessitate efficient 3D Multi-Object Tracking (MOT) that harmonizes geometric precision, motion robustness, and computational efficiency.

This project performs real-time vehicle detection and multi-object tracking on a video file using Ultralytics YOLOv8 for detection and a standalone BYTETracker ...

Official implementation of PPR-MOT, a training-free, modular framework that reformulates Referring Multi-Object Tracking (RMOT) as a top-down cognitive process. PPR-MOT addresses the limitations of ...