Robust decentralized multi-model adaptive template tracking

Author:

Firouzi Hadi,Najjaran Homayoun

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference74 articles.

1. A. Adam, E. Rivlin, I. Shimshoni, Robust fragments-based tracking using the integral histogram, in: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), vol. 1, IEEE, 2006, pp. 798–805. URL 〈http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1640835〉.

2. A. Agarwal, B. Triggs, Learning to track 3D human motion from silhouettes, in: Proceedings of the Twenty-first International Conference on Machine Learning, ACM, 2004, p. 2. URL 〈http://portal.acm.org/citation.cfm?id=1015343〉.

3. A. Amini, R. Owen, P. Anandan, J. Duncan, Non-rigid motion models for tracking the left-ventricular wall, in: Information Processing in Medical Imaging, Springer, 1991, pp. 343–357. URL 〈http://www.springerlink.com/index/w22335756675x80t.pdf〉.

4. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking;Arulampalam;IEEE Transactions on Signal Processing,2002

5. Support vector tracking;Avidan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2004

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