Sequential Monte Carlo-guided ensemble tracking.
A great deal of robustness is allowed when visual tracking is considered as a classification problem. This paper combines a finite number of weak classifiers in a SMC framework as a strong classifier. The time-varying ensemble parameters (confidence of weak classifiers) are regarded as sequential ar...
| Main Authors: | , , , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
Public Library of Science (PLoS)
2017-01-01
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| 丛编: | PLoS ONE |
| 在线阅读: | http://europepmc.org/articles/PMC5388463?pdf=render |