ECO download | SourceForge.net

ECO (Efficient Convolution Operators for Tracking) is a high-performance object tracking algorithm developed by Martin Danelljan and collaborators. It is based on discriminative correlation filters and designed to handle appearance changes, occlusions, and scale variations in visual object tracking tasks. The code provides a MATLAB implementation of the ECO and ECO-HC (high-speed) variants and was one of the top performers on multiple visual tracking benchmarks.

Features

Implements ECO and ECO-HC tracking algorithms
Robust to object appearance changes and occlusion
High tracking accuracy on benchmarks like VOT and OTB
Efficient Fourier domain computations
Includes training and evaluation scripts
Based on MATLAB and compatible with legacy tracking frameworks

Project Samples

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License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

MATLAB

Related Categories

MATLAB Computer Vision Libraries

Registered

2025-07-24

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