|
Tracker | H1 | H2 | H3 | H4 | H5 | H6 |
Boost [2] | 0.427 | 0.480 | 0.578 | 0.750 | 0.534 | 0.476 |
SemiBoost [3] | 0.434 | 0.641 | 0.602 | 0.917 | 0.550 | 0.618 |
BeyondSemiBoost [4] | 0.444 | 0.647 | 0.616 | 0.843 | 0.617 | 0.474 |
MS [1] | 0.426 | 0.574 | 0.453 | 0.656 | 0.531 | 0.451 |
FragTrack [5] | 0.426 | 0.630 | 0.810 | 0.708 | 0.732 | 0.419 |
PF [6] | 0.451 | 0.463 | 0.645 | 0.694 | 0.612 | 0.707 |
[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.