PinataFarms/FEARTracker
Official repo for FEAR: Fast, Efficient, Accurate and Robust Visual Tracker (ECCV 2022)
This tool helps researchers and engineers quickly track specific objects across video sequences. You provide a video file and an initial bounding box around the object you want to follow, and it outputs a new video with that object continuously highlighted. This is ideal for those working on computer vision tasks like surveillance, autonomous driving, or sports analytics, who need to accurately follow moving targets in real-time.
215 stars. No commits in the last 6 months.
Use this if you need to reliably track a designated object through a video, especially on mobile devices where computational efficiency is important.
Not ideal if you need to detect and track multiple, unknown objects, or if your primary goal is object recognition rather than continuous tracking.
Stars
215
Forks
27
Language
Python
License
MIT
Category
Last pushed
Jun 04, 2024
Commits (30d)
0
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