Tag: multi-object tracking

A YOLOv5-LiDAR basketball-robot system achieved 97.85% detection accuracy and high task-success rates in controlled dataset evaluations and simulations, with extreme ...

A new spatio-temporal graph network models players and the ball as a dynamic graph, detecting key match events and tactical ...

Chinese researchers have enhanced a transformer-based detector to automatically identify and count tiny shrimp in sonar echograms, achieving over 84 ...

A hierarchical computer vision framework combining object detection, SAM2 segmentation, and multi-object tracking enables contactless, individual-level dairy cow behavior monitoring ...

Researchers have developed a multiobject tracking framework combining a nonlinear adaptive Kalman filter, multi-scale appearance enhancement, and trajectory stitching that ...

Researchers have developed BF-TrackFormer, a bidirectional deep learning method that tracks solar filaments through splitting and fragmentation to improve space ...

Researchers have built a compact, turkey-specific AI embedding that outperforms a much larger generic model at telling individual birds apart ...