Evaluation results of trackers on Trial 3

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]	0.519	0.538	0.618	0.814	0.577	0.575
SemiBoost [3]	0.424	0.593	0.655	0.911	0.589	0.582
BeyondSemiBoost [4]	0.465	0.650	0.623	0.866	0.744	0.552
MS [1]	0.493	0.581	0.516	0.660	0.562	0.577
FragTrack [5]	0.562	0.649	0.867	0.806	0.951	0.517
PF [6]	0.539	0.499	0.726	0.712	0.572	0.667

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.