GitHub

Multiple Object Tracking as ID Prediction

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 ...
IEEE

Multi-Object Tracking With Memory Fusion in UAV Videos

Abstract: Multi-object tracking (MOT) plays a pivotal role in numerous UAV-related tasks. Nevertheless, conventional approaches often encounter limitations when facing challenges such as motion blur ...
Study Finds on MSN

New telescope spots record-breaking asteroid spinning so fast it should fly apart

Fastest-Rotating Rock Known, Larger Than 6 Football Fields, Is Rubin Observatory’s First Discovery In A Nutshell Record breaker: Asteroid MN45 spins once every 1.88 minutes (about 765 times per day) ...
IEEE

E3-MOT: An Extended End-to-End Multiple Object Tracking Framework with Camera-LiDAR Fusion

Abstract: 3D multi-object tracking (MOT) is essential for providing stable and reliable motion states of surrounding obstacles in autonomous driving. Existing methods primarily focus on motion-based ...
GitHub

R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning

Visual (Single) Object Tracking aims to continuously localize and estimate the scale of a target in subsequent video frames, given only its initial state in the first frame. This task can be ...