Adaptive Retrodiction Particle PHD Filter for Multiple Human Tracking
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Jonathon A. Chambers | Wenwu Wang | Pengming Feng | Syed M. Naqvi | J. Chambers | S. M. Naqvi | Wenwu Wang | P. Feng
[1] R. Mahler. A Theoretical Foundation for the Stein-Winter "Probability Hypothesis Density (PHD)" Multitarget Tracking Approach , 2000 .
[2] Emilio Maggio,et al. Efficient Multitarget Visual Tracking Using Random Finite Sets , 2008, IEEE Transactions on Circuits and Systems for Video Technology.
[3] Mikhail J. Atallah,et al. Privacy Enhancing Technologies, 9th International Symposium, PETS 2009, Seattle, WA, USA, August 5-7, 2009. Proceedings , 2009, Privacy Enhancing Technologies.
[4] Stephen A. Weis. Privacy Enhancing Technologies , 2006, IEEE Security & Privacy Magazine.
[5] Daniel E. Clark,et al. Convergence results for the particle PHD filter , 2006, IEEE Transactions on Signal Processing.
[6] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[7] Luiz F. O. Chamon. Combinations of adaptive filters. , 2015 .
[8] M. Psiaki. Backward-Smoothing Extended Kalman Filter , 2005 .
[9] Y. Bar-Shalom,et al. Probability hypothesis density filter for multitarget multisensor tracking , 2005, 2005 7th International Conference on Information Fusion.
[10] Satnam Singh Dlay,et al. Social force model aided robust particle PHD filter for multiple human tracking , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[11] A. Doucet,et al. Sequential Monte Carlo methods for multitarget filtering with random finite sets , 2005, IEEE Transactions on Aerospace and Electronic Systems.
[12] Yonggang Zhang,et al. Convex Combination of Adaptive Filters for a Variable Tap-Length LMS Algorithm , 2006, IEEE Signal Processing Letters.
[13] A. Cantoni,et al. The Cardinalized Probability Hypothesis Density Filter for Linear Gaussian Multi-Target Models , 2006, Annual Conference on Information Sciences and Systems.
[14] Ali H. Sayed,et al. Combinations of Adaptive Filters: Performance and convergence properties , 2021, IEEE Signal Processing Magazine.
[15] Ba-Ngu Vo,et al. On performance evaluation of multi-object filters , 2008, 2008 11th International Conference on Information Fusion.
[16] Ba-Ngu Vo,et al. A Consistent Metric for Performance Evaluation of Multi-Object Filters , 2008, IEEE Transactions on Signal Processing.
[17] Miao Yu,et al. A Robust student's-t distribution PHD filter with OCSVM updating for multiple human tracking , 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).
[18] Thia Kirubarajan,et al. Multitarget Tracking using Probability Hypothesis Density Smoothing , 2011, IEEE Transactions on Aerospace and Electronic Systems.
[19] Ba-Ngu Vo,et al. Forward-Backward Probability Hypothesis Density Smoothing , 2012, IEEE Transactions on Aerospace and Electronic Systems.
[20] S.S. Blackman,et al. Multiple hypothesis tracking for multiple target tracking , 2004, IEEE Aerospace and Electronic Systems Magazine.
[21] Ba-Ngu Vo,et al. Visual Tracking in Background Subtracted Image Sequences via Multi-Bernoulli Filtering , 2013, IEEE Transactions on Signal Processing.
[22] R. Mahler. Multitarget Bayes filtering via first-order multitarget moments , 2003 .