Evaluation results of trackers on Trial 1

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]	0.545	0.546	0.592	0.753	0.542	0.460
SemiBoost [3]	0.451	0.595	0.623	0.916	0.584	0.510
BeyondSemiBoost [4]	0.462	0.591	0.606	0.848	0.629	0.473
MS [1]	0.477	0.616	0.498	0.648	0.537	0.519
FragTrack [5]	0.535	0.663	0.870	0.837	0.951	0.486
PF [6]	0.498	0.483	0.716	0.712	0.485	0.662

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.