A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration (SAMF)
This is the matlab code of SAMF. It won the second place in VOT 2014. The implementation is built upon the code of . The codes provided by [3,4,5] are also used in the implementation.
- Modify the base_path in "run_tracker.m" with your own setting.
- Run the "run_tracker.m" script in MATLAB.
- Choose sequence.
Yang Li, email@example.com ihpdep.github.io
Jianke Zhu firstname.lastname@example.org jkzhu.github.io
 Yang Li, Jianke Zhu. "A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration" European Conference on Computer Vision, Workshop VOT2014 (ECCVW), 2014
 J. F. Henriques, R. Caseiro, P. Martins, J. Batista. "High-Speed Tracking with Kernelized Correlation Filters." TPAMI - IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
 Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg and Joost van de Weijer. "Adaptive Color Attributes for Real-Time Visual Tracking". Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
 J. van de Weijer, C. Schmid, J. J. Verbeek, and D. Larlus. "Learning color names for real-world applications." TIP, 18(7):1512–1524, 2009.
 David Ross, Jongwoo Lim, Ruei-Sung Lin, Ming-Hsuan Yang. "Incremental Learning for Robust Visual Tracking" In the International Journal of Computer Vision, Special Issue: Learning for Vision, 2007.
Many thanks to Guy Koren and Jifeng Ning(宁纪锋) for helping me to find and fix bugs!