Robust particle tracker via Markov Chain Monte Carlo posterior sampling

Author:

Wang Fasheng,Lu Mingyu

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference16 articles.

1. Arulampalam S, Maskell S, Gordon N, Clapp T (2002) A tutorial on particle filters for on-line Non-linear/Non-Gaussian Bayesian tracking. IEEE T Signal Process 50(2):174–188

2. Choo K, Fleet DJ (2001) People Tracking Using Hybrid Monte Carlo Filtering. Proceedings of International Conference on Computer Vision, pp. 321–328

3. Cong TD, F Septier, Garnier C et al. (2012) Robust Visual Tracking via MCMC-based Particle Filtering. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Apr. 2012, Kyoto, Japan

4. Geyer C (2011) Introduction to Markov Chain Monte Carlo. In: Steve B et al. (ed) Handbook of Markov Chain Monte Carlo. Chapman and Hall/CRC press, pp.1–46

5. Gilks W, Berzuini C (2001) Following a moving target: Monte Carlo inference for dynamic Bayesian models. J Royal Stat Soc B 63(1):127–146

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