Shen C H, Hengel A, and Dick A. Probabilistic multiple cue integration for particle filter based tracking. Proc. VIIth Digital Image Computing: Techniques and Applications, Melbourne, Australia, 2003, I: 399-408.[2]Li P H and Chaumette F. Image cues fusion for object tracking based on particle filter. F J Perales and B A Draper (Eds.): AMDO 2004, LNCS 3197: 99-107.[3]Leichter I, Lindenbaum M, and Rivlin E. A Probabilistic framework for combining tracking algorithms. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Washington, USA, 2004, (2): 445-451.[4]Spengler M and Schiele B. Towards robust multi-cue integration for visual tracking. International Journal of Machine Vision and Applications, 2003, (14): 50-58.[5]Collins R and Liu Y. On-line selection of discriminative tracking features. Proceedings of International Conference on Computer Vision, Nice, France, 2003: 346-352.[6]Toyama K and Hager G. Incremental focus of attention for robust vision-based tracking[J].International Journal of Computer Vision.1999, 35(1):45-63[7]Kittler J and Hatef M, et al.. On combining classifiers. IEEE Trans. on PAMI, 1998, 20: 226-238.[8]Triesch J and Malsburg C. Democratic integration: self-organized integration of adaptive cue[J].Neural Computation.2001, 13:2049-2074[9]Jacobs R. What determines visual cue reliability? Trends in Cognitive Sciences, 2002, 6(8): 345-350.[10]Arulampalam S, Maskell S, Gordon N, and Clapp T. A tutorial on particle filters for on-line nonlinear/non-Gaussian Bayesian tracking[J].IEEE Trans. on Signal Processing.2002, 50(2):174-188[11]Comaniciu D, Ramesh V, and Meer R. Real-time tracking of non-rigid objects using mean shift. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head, USA, 2000, Vol.2: 142-149.[12]Perez P, Hue C, Vermaak J, and Gangnet M. Color-based probabilistic tracking. Proc. European Conf. Computer Vision, Copenhagen, Denmark, 2002, Vol(I): 661-675.[13]Huttenlocher D, Klanderman G, and Rucklidge W. Comparing images using the Hausdorff distance. IEEE Trans. on PAMI, 1993, 15(9): 850-863.
|