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Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive Likelihoods
We develop an interactive likelihood (ILH) for sequential Monte Carlo (SMC) methods for image-based multiple target tracking applications. The purpose of the ILH is to improve tracking accuracy by reducing the need for data association. In addition, we integrate a recently developed deep neural netw...
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| 出版年: | Sensors (Basel) |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5375787/ https://ncbi.nlm.nih.gov/pubmed/28273796 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17030501 |
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