A Bayesian Online Object Tracking Method Using Affine Warping and Random KD-Tree Forest - Multimedia and Signal Processing - page 282

Acknowledgment. We thank the reviewers for their comments and suggestions. This
work was supported by grant No. 61171172 from NNSFC (National Natural Science
Foundation of China) and No. 12DZ2272600 from STCSM (Science and Technology
Commission of Shanghai Municipality, China).
References
1. Adam, A., Rivlin, E., Shimshoni, I.: Robust fragments-based tracking using the integral
histogram. In: Proceedings of the 2006 IEEE Computer Society Conference on Computer
Vision and Pattern Recognition, CVPR 2006, vol. 1, pp. 798-805. IEEE Computer Socie-
ty, Washington, DC (2006)
2. Avidan, S.: Support vector tracking. In: Proceedings of the 2001 IEEE Computer Society
Conference on Computer Vision and Pattern Recognition, CVPR 2001, vol. 1, pp. I-184-I-
191 (2001)
3. Babenko, B., Yang, M.-H., Belongie, S.: Visual Tracking with Online Multiple Instance
Learning. In: CVPR (2009)
4. Beis, J.S., Lowe, D.G.: Shape indexing using approximate nearest-neighbour search in
high-dimensional spaces. In: Proceedings of the 1997 Conference on Computer Vision and
Pattern Recognition (CVPR 1997), pp. 1000-1006. IEEE Computer Society, Washington,
DC (1997)
5. Collins, R.T., Liu, Y.: On-line selection of discriminative tracking features. In: IEEE In-
ternational Conference on Computer Vision, vol. 1, p. 346 (2003)
6. Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based object tracking. IEEE Transactions on
Pattern Analysis and Machine Intelligence 25, 564-577 (2003)
7. Grabner, H., Bischof, H.: On-line boosting and vision. In: 2006 IEEE Computer Society
Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 260-267 (2006)
8. Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cam-
bridge University Press (2004) ISBN: 0521540518
9. Isard, M., Blake, A.: Contour Tracking by Stochastic Propagation of Conditional Density.
In: Buxton, B.F., Cipolla, R. (eds.) ECCV 1996. LNCS, vol. 1064, pp. 343-356. Springer,
Heidelberg (1996)
10. Jepson, A.D., Fleet, D.J., El-Maraghi, T.F.: Robust online appearance models for visual
tracking. In: CVPR (1), pp. 415-422 (2001)
11. Ross, D.A., Lim, J., Lin, R.-S., Yang, M.-H.: Incremental learning for robust visual track-
ing. Int. J. Comput. Vision 77(1-3), 125-141 (2008)
12. Silpa-Anan, C., Hartley, R.: Optimised kd-trees for fast image descriptor matching. In:
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008, pp. 1-8
(June 2008)
13. Yilmaz, A., Javed, O., Shah, M.: Object tracking: A survey. ACM Comput. Surv. 38 (De-
cember 2006)