On-road visual vehicle tracking using Markov chain Monte Carlo particle filtering with metropolis sampling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Automotive Engineering
Link
http://link.springer.com/content/pdf/10.1007/s12239-012-0097-1.pdf
Reference25 articles.
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2. Arulampalam, S., Maskell, S., Gordon, N. and Clapp, T. (2002). A tutorial on particle filters for on-line nonlinear/non-gaussian bayesian tracking. IEEE Trans. Signal Processing 50,2, 174–188.
3. Asadi, M., Monti, F. and Regazzoni, C. S. (2008). Feature classification for robust shape-based collaborative tracking and model updating. EURASIP J. Image and Video Processing, Article ID, 274349, 21.
4. Avidan, S. (2007). Ensemble tracking. IEEE Trans. Pattern Analysis and Machine Intelligence 29,2, 261–271.
5. Barth, A. and Franke, W. (2009). Estimating the driving state of oncoming vehicles from a moving platform using stereo vision. IEEE Trans. Intelligent Transportations Systems 10,4, 560–571.
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