Czech company Roboton has developed a fully electric, autonomous field robot designed for row crop production with minimal ...

The stable continuation of trajectories among different targets has always been the key to the tracking performance of multi-object tracking (MOT) tasks. If features of the target are aggregated and ...

Recent works have shown that the joint-detection-and-embedding (JDE) paradigm has significantly enhanced the performance of multiple object tracking by simultaneously learning detection and ...

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed.

TL; DR. MOTIP proposes a new perspective to regard the multi-object tracking task as an ID prediction problem. It directly predicts the ID labels for each object in the tracking process, which is more ...

To keep multiple urgent tasks on track within a tight timeline, prioritize effectively by assessing the importance and deadlines of each task.

This project shows the implementation of tracking algorithms like SORT and Deep SORT from scratch. The project aims to assist emergency responders in assessing the number of people at a disaster site ...

Automating advanced visual tasks -- whether used to navigate a vehicle or track a moving plane -- usually require detailed images of a scene to extract the features necessary to identify an object.