|
Tracker | H1 | H2 | H3 | H4 | H5 | H6 |
Boost [2] | 0.518 | 0.599 | 0.617 | 0.712 | 0.563 | 0.427 |
SemiBoost [3] | 0.545 | 0.834 | 0.597 | 0.920 | 0.569 | 0.692 |
BeyondSemiBoost [4] | 0.591 | 0.832 | 0.610 | 0.865 | 0.837 | 0.639 |
MS [1] | 0.635 | 0.727 | 0.440 | 0.591 | 0.573 | 0.598 |
FragTrack [5] | 0.571 | 0.718 | 0.872 | 0.810 | 0.951 | 0.564 |
PF [6] | 0.695 | 0.636 | 0.630 | 0.695 | 0.491 | 0.743 |
[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.