| Autor: |
Xiaobo Chen, Hongbing Ji, Yongquan Zhang |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2017, Vol. 1820 Issue 1, p1-5, 5p, 1 Graph |
| Abstrakt: |
This paper presents an algorithm for tracking of non-ellipsoidal extended target using negative measurements, where the extension of the target is modeled as multiple ellipses rather than a simple geometric shape. When positive measurements stemming from the target are scarce due to occlusion, negative measurements stemming from elsewhere can be exploited to get a more reliable estimate. In this work, we introduce a recursive Bayesian filter that incorporates multiple random matrices framework with negative information, where Variational Bayes Expectation Maximization is used to solve the measurement-to-source association issue. The merits of the proposed method are verified via a gamma Gaussian inverse Wishart mixture implementation. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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