文件列表:

SAMF\choose_video.m (862, 2018-01-08)
SAMF\data\Jogging1\groundtruth_rect.txt (4394, 2018-01-08)
SAMF\data\Jogging1\img\.DS_Store (6148, 2018-01-08)
SAMF\data\Jogging1\img\0001.jpg (13834, 2018-01-08)
SAMF\data\Jogging1\img\0002.jpg (24848, 2018-01-08)
SAMF\data\Jogging1\img\0003.jpg (26083, 2018-01-08)
SAMF\data\Jogging1\img\0004.jpg (25916, 2018-01-08)
SAMF\data\Jogging1\img\0005.jpg (26455, 2018-01-08)
SAMF\data\Jogging1\img\0006.jpg (26282, 2018-01-08)
SAMF\data\Jogging1\img\0007.jpg (26640, 2018-01-08)
SAMF\data\Jogging1\img\0008.jpg (26500, 2018-01-08)
SAMF\data\Jogging1\img\0009.jpg (26858, 2018-01-08)
SAMF\data\Jogging1\img\0010.jpg (26873, 2018-01-08)
SAMF\data\Jogging1\img\0011.jpg (25870, 2018-01-08)
SAMF\data\Jogging1\img\0012.jpg (25659, 2018-01-08)
SAMF\data\Jogging1\img\0013.jpg (25987, 2018-01-08)
SAMF\data\Jogging1\img\0014.jpg (26130, 2018-01-08)
SAMF\data\Jogging1\img\0015.jpg (26972, 2018-01-08)
SAMF\data\Jogging1\img\0016.jpg (27760, 2018-01-08)
SAMF\data\Jogging1\img\0017.jpg (27136, 2018-01-08)
SAMF\data\Jogging1\img\0018.jpg (27295, 2018-01-08)
SAMF\data\Jogging1\img\0019.jpg (28964, 2018-01-08)
SAMF\data\Jogging1\img\0020.jpg (27212, 2018-01-08)
SAMF\data\Jogging1\img\0021.jpg (28215, 2018-01-08)
SAMF\data\Jogging1\img\0022.jpg (28810, 2018-01-08)
SAMF\data\Jogging1\img\0023.jpg (29340, 2018-01-08)
SAMF\data\Jogging1\img\0024.jpg (28895, 2018-01-08)
SAMF\data\Jogging1\img\0025.jpg (28458, 2018-01-08)
SAMF\data\Jogging1\img\0026.jpg (27913, 2018-01-08)
SAMF\data\Jogging1\img\0027.jpg (27867, 2018-01-08)
SAMF\data\Jogging1\img\0028.jpg (28162, 2018-01-08)
SAMF\data\Jogging1\img\0029.jpg (27905, 2018-01-08)
SAMF\data\Jogging1\img\0030.jpg (27367, 2018-01-08)
SAMF\data\Jogging1\img\0031.jpg (27170, 2018-01-08)
SAMF\data\Jogging1\img\0032.jpg (27223, 2018-01-08)
SAMF\data\Jogging1\img\0033.jpg (26981, 2018-01-08)
SAMF\data\Jogging1\img\0034.jpg (27296, 2018-01-08)
SAMF\data\Jogging1\img\0035.jpg (26954, 2018-01-08)
SAMF\data\Jogging1\img\0036.jpg (26776, 2018-01-08)
... ...

# A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration (SAMF) This is the matlab code of SAMF[1]. It won the second place in [VOT 2014](http://votchallenge.net/vot2014/index.html). The implementation is built upon the code of [2]. The codes provided by [3,4,5] are also used in the implementation. ## 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. ## Contact: Yang Li, liyang89@zju.edu.cn ihpdep.github.io Jianke Zhu jkzhu@zju.edu.cn jkzhu.github.io [Our Lab website](http://www.smartvisionlab.org) ## Reference [1] Yang Li, Jianke Zhu. "A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration" European Conference on Computer Vision, Workshop VOT2014 (ECCVW), 2014 [2] 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 [3] 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. [4] 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. [5] 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. ## Acknowledge: Many thanks to Guy Koren and Jifeng Ning(宁纪锋) for helping me to find and fix bugs!

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