Severe-Dynamic Tracking Problems Based on Lower Particles Resampling
For a target as it with large-dynamic-change which is still challenging for existing methods to performed robust tracking. The sampling-based Bayesian filtering often suffer from computational complexity associated with large number of particle demanded and weighing multiple hypotheses. Specifically...
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| Main Authors: | , , |
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| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2014-06-01.
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| Online Access: | Get fulltext |
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| LEADER | 02081 am a22002893u 4500 | ||
|---|---|---|---|
| 001 | ijeecs3562_1827 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Zhong, Xungao |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Peng, Xiafu |e author |
| 700 | 1 | 0 | |a Zhong, Xunyu |e author |
| 245 | 0 | 0 | |a Severe-Dynamic Tracking Problems Based on Lower Particles Resampling |
| 260 | |b Institute of Advanced Engineering and Science, |c 2014-06-01. | ||
| 520 | |a For a target as it with large-dynamic-change which is still challenging for existing methods to performed robust tracking. The sampling-based Bayesian filtering often suffer from computational complexity associated with large number of particle demanded and weighing multiple hypotheses. Specifically, this work proposes a neural auxiliary Bayesian filtering scheme based on Monte Carlo resampling techniques, which to addresses the computational intensity that is intrinsic to all particle filter, including those have been modified to overcome the degeneracy of particles. Tracking quality for severe-dynamic experiments demonstrate that the neural via compensate the Bayesian filtering error, with high accuracy and intensive tracking performance only require lower particles compare with sequential importance resampling Bayesian filtering, meanwhile, our method also with strong robustness for low number of particles. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5493 | ||
| 540 | |a Copyright (c) 2014 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc-nd/4.0 | ||
| 546 | |a eng | ||
| 690 | |||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 6: June 2014; 4731-4739 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v12.i6 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3562/1827 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3562/1827 |z Get fulltext |