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Structure incorporation of model uncertainty for Bayesian adaptive tracking and its application to maritime surveillance
Adaptive visual object tracking (VOT) is one of the fundamental tasks in machine vision, with active research and far-reaching implications. Bayesian methods are commonly used in adaptive VOT. However, we propose that the current tendency is to restrict the inference to a subtask (e.g. classificatio...
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| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2018
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