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A Method to Detect Boats in Images of the Amazonian Rivers

In the Amazon rainforest, fluvial monitoring involves various challenges, including an exhaustive surveillance due to its large territory and due to the fact that the largest river basin in the world is in this region. To cope with this problem, we propose a method focused on detecting the movement of boats in typical scenes of the Amazonian rivers. We employ digital image processing techniques to detect moving objects in the scene, while machine learning algorithms are used to indicate whether or not the detected object is a boat. Experiment results show that the proposed method achieves 79% of accuracy and 91% of precision rates when all images are considered, as well as a 71% of precision rate when only scenes with boats are analyzed.