Abstract: Object tracking in real-world scenarios is often hampered by the simultaneous challenges of low light and partial object occlusion. While existing evaluation datasets have tackled these ...

A newly developed technique could teach AI algorithms to see the universe with unprecedented clarity — potentially exposing the cracks in our understanding of the cosmos. Our cosmic rulebook, known as ...

Abstract: This paper introduces two quasi-metrics for performance assessment of multi-object tracking (MOT) algorithms. One quasi-metric is an extension of the generalised optimal subpattern ...

When ‘Oumuamua passed through the solar system, it left scientists with more questions than answers. Now, new observations suggest it may not have been unique. Researchers are identifying objects with ...

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for ...

What’s optimal for a 50 g juvenile is not optimal for a 400 g market-ready fish. Most control systems use static policies, but biology is not static. Hierarchical DDPG architecture with growth ...

Advances in ultrasound—the same imaging technology that uses sound waves to allow doctors to monitor babies in utero—are being applied by engineers at the University of California San Diego to make ...

Researchers at Spain’s Technical University of Madrid (UPM) developed a model framework to simulate the performance of vehicle integrated photovoltaic (VIPV) modules under realistic dynamic shading ...

Package theft has reached unprecedented levels in the logistics ecosystem. For the first time since tracking began, incidents dropped year over year from 120 million in 2023 to just over 104 million ...

Stargazers and scientists are getting a holiday present from the cosmos this week. 3I/ATLAS, an interstellar comet, will get “closest” to Earth on Friday, December 19, as part of its journey across ...

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) ...