|
Tracker | H1 | H2 | H3 | H4 | H5 | H6 |
Boost [2] | 0.399 | 0.439 | 0.613 | 0.771 | 0.622 | 0.363 |
SemiBoost [3] | 0.289 | 0.629 | 0.577 | 0.903 | 0.616 | 0.507 |
BeyondSemiBoost [4] | 0.256 | 0.585 | 0.634 | 0.884 | 0.790 | 0.364 |
MS [1] | 0.437 | 0.563 | 0.587 | 0.675 | 0.745 | 0.420 |
FragTrack [5] | 0.516 | 0.648 | 0.849 | 0.874 | 0.927 | 0.371 |
PF [6] | 0.502 | 0.608 | 0.789 | 0.757 | 0.620 | 0.590 |
[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.