Evaluation results of trackers on Trial 4

Performance comparison using Combined Tracking Performance Score (CoTPS)

Mean CoTPS of trackers on each target (H₁, H₂, ..., H₆)
Tracker	H₁	H₂	H₃	H₄	H₅	H₆
Boost [2]	0.592	0.515	0.648	0.871	0.707	0.639
SemiBoost [3]	0.401	0.858	0.633	0.934	0.613	0.755
BeyondSemiBoost [4]	0.641	0.845	0.678	0.871	0.911	0.888
MS [1]	0.652	0.645	0.729	0.712	0.792	0.744
FragTrack [5]	0.543	0.663	0.874	0.881	0.945	0.437
PF [6]	0.544	0.689	0.854	0.876	0.842	0.766

References

[1] D. Comaniciu, V. Ramesh, and P. Meer, "Kernel-based object tracking", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 25, no. 5, pp. 564-577, May 2003.

[2] H. Grabner and H. Bischof, "On-line boosting and vision", in IEEE Conf. on Computer Vision and Pattern Recognition, New York, 2006, pp. 260-267.

[3] H. Grabner, C. Leistner, and H. Bischof, "Semi-supervised on-line boosting for robust tracking", in European Conf. on Computer Vision, Heidelberg, 2008, pp. 234-247.

[4] S. Stalder, H. Grabner, and L. van Gool, "Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition", in Int. Conf. on Computer Vision Workshops, Kyoto, 2009, pp. 1409-1416.

[5] A. Adam, E. Rivlin, and I. Shimshoni, "Robust fragments-based tracking using the integral histogram", in IEEE Conf. on Computer Vision and Pattern Recognition, New York, 2006, pp. 798-805.

[6] P. Prez, C. Hue, J. Vermaak, and M. Gangnet, "Color-based probabilistic tracking", in European Conf. on Computer Vision, Copenhagen, 2002, pp. 661-675.