Abstract: Most of the problems in object tracking are illumination and increased ID switching because of the occlusion and re-entering. To overcome the problems of object tracking, the proposed system ...

We may receive a commission on purchases made from links. Loads of people carry a smartphone with them wherever they go, but there's at least one other thing that's just as — if not more — important: ...

Abstract: The recent progress in object detection seeks to design more effective and dynamic label assignment strategies that automatically select training samples in a prediction-aware manner. In ...

Multi-Object Tracking (MOT) aims to detect and associate all desired objects across frames. Most methods accomplish the task by explicitly or implicitly leveraging strong cues (i.e., spatial and ...

Laura holds a Master's in Experimental Neuroscience and a Bachelor's in Biology from Imperial College London. Her areas of expertise include health, medicine, psychology, and neuroscience. Laura holds ...