Detekce lodí ve video sekvencích
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Vysoká škola báňská – Technická univerzita Ostrava
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Abstract
This work investigates methods for analyzing video sequences from cameras at shipping lanes and
wharves with the aim of detecting and controlling ships passing through them. Based on real data
from cameras located in the harbor and along the shipping route, these methods are systematically
evaluated and compared, identifying their advantages and limitations. The results of this analysis
are then used to design an optimal solution for ship detection. The proposed functional solution
thus uses modern image analysis technologies and enables efficient detection of ships. The resulting
application also allows the user to choose and use prepared object detection methods on selected
camera data.
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deep learning, neural networks, object detection, ship detection