Evaluation results of trackers on Trial 2

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]	0.485	0.543	0.592	0.789	0.547	0.499
SemiBoost [3]	0.391	0.666	0.650	0.914	0.549	0.591
BeyondSemiBoost [4]	0.457	0.634	0.653	0.864	0.678	0.510
MS [1]	0.471	0.556	0.474	0.654	0.517	0.552
FragTrack [5]	0.556	0.670	0.874	0.825	0.947	0.517
PF [6]	0.541	0.511	0.716	0.710	0.580	0.678

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.