Abstract: Online visual object tracking fundamentally constitutes a continual learning challenge, demanding persistent adaptation to target variations within dynamic video streams, while preserving ...

Motorola’s CES 2026 slate was pretty packed. Aside from the barrage of new PC hardware from sister company Lenovo, the company revealed its first book-style foldable phone and a new smartwatch ...

Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...

Markets respond to information faster than anything else, and most of that information begins with a headline. An earnings update, a regulatory note, a product issue, even a short line from an analyst ...

As someone deeply involved in the space sector, I’ve seen firsthand how low Earth orbit (LEO) is becoming increasingly congested. Satellite operators, space agencies and aerospace companies are all ...

This project provides a Python-based toolkit for tracking and analyzing the actuation of cantilever beams from video data. It leverages OpenCV and scientific Python libraries to extract quantitative ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

Abstract: Scenarios such as vehicle platooning urgently require high-precision object tracking algorithms with strong ID consistency. However, current state-of-the-art (SOTA) 3D tracking methods often ...

We present our on-line tracking method, which wins the first place award of the NuScenes Tracking Challenge[1], held in the AI Driving Olympics Workshop at NeurIPS 2019. Our technical report is ...