Skip to content

This is a matlab implementation of "A Multi-Scale Kernel Correlation Filter Tracker with Feature Integration and Robust Model Updater"

Notifications You must be signed in to change notification settings

MengleiJin1/CN-SAMF

Repository files navigation

CN-SAMF

This is a Matlab implementation of the visual tracking method proposed in [1] The implementation is built upon the code provided by [2][3][4]. The code provided by [5] is used for computing the color name representation.

Instructions: 1.Modify the base_path in "run_tracker.m" with your own setting. 2.Run the "run_tracker.m" script in MATLAB. 3.Choose sequence.

Reference

[1]Xu Fulai, etc, "A Multi-Scale Kernel Correlation Filter Tracker with Feature Integration and Robust Model Updater",CCDC,2017

[2] "Exploiting the circulant structure of tracking-by-detection with kernels." In ECCV, 2012.

[3]Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg and Joost van de Weijer. "Adaptive Color Attributes for Real-Time Visual Tracking". CVPR, 2014.

[4]Yang Li, Jianke Zhu. "A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration" European Conference on Computer Vision, Workshop VOT2014 (ECCVW), 2014

[5]J. van de Weijer, C. Schmid, J. J. Verbeek, and D. Larlus. "Learning color names for real-world applications." TIP, 18(7):1512?524, 2009.

About

This is a matlab implementation of "A Multi-Scale Kernel Correlation Filter Tracker with Feature Integration and Robust Model Updater"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published