|
Tracker | H1 | H2 | H3 | H4 | H5 | H6 |
Boost [2] | 0.498 | 0.514 | 0.634 | 0.754 | 0.448 | 0.371 |
SemiBoost [3] | 0.365 | 0.685 | 0.614 | 0.920 | 0.563 | 0.521 |
BeyondSemiBoost [4] | 0.369 | 0.506 | 0.638 | 0.872 | 0.699 | 0.593 |
MS [1] | 0.367 | 0.594 | 0.435 | 0.626 | 0.483 | 0.424 |
FragTrack [5] | 0.481 | 0.666 | 0.872 | 0.840 | 0.950 | 0.353 |
PF [6] | 0.463 | 0.488 | 0.731 | 0.691 | 0.512 | 0.654 |
[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.