This project implements a multi-camera tracking system that combines YOLO object detection, epipolar geometry-based matching, triangulation and 3D tracking to provide 3D object localization and ...

Visual Object Tracking Challenge: How to Offer a Working Solution in 24 Hours Using Multimodal LLM Multimodal LLMs come to the rescue in a computer vision competition.

Aiming at the problem that the multi-object tracking algorithm is difficult to accurately design the object feature model and data association algorithm in the process of unmanned vehicle autonomous ...

Object tracking is a fundamental task in computer vision that involves estimating the motion of an object over time within a video sequence. In this assignment, the objective is to implement object ...

Small object tracking in low-resolution remote sensing images presents numerous challenges. Targets are relatively small compared to the field of view, do not present distinct features, and are often ...

For object detection algorithms, too few features lead to missed detection; at the same time, affected by the background of the water surface (Fefilatyev et al., 2012), the tracking algorithm will ...

Researchers at Microsoft and Huazhong University open-sourced an AI model -- FairMOT -- that can track multiple objects with state-of-the-art performance.