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Flood Event Analysis Base on Pose Estimation and Water-Related Scene Recognition

In this paper, we describe our approach for the Multimedia Satellite Task: Emergency Response for Flooding Events at the MediaEval 2019 Challenge. Specifically, for the Multimodal Flood Level Estimation subtask, we employ a combination of ResNet-50 trained on Places365 dataset for features extractor, OpenPose for pose estimation and Mask R-CNN for segmentation to predict if an image has at least one person standing in water above the knee. Our approach has achieved the highest results for Multimodal Flood Level Estimation subtask.