Technical Name | Deep Learning-based Human Activity Analysis for Aerial Images | ||
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Project Operator | Computer Vision Research Center, National Chiao Tung University | ||
Project Host | 莊仁輝 | ||
Summary | Due to the proportion of charactersimage deformation factors, the existing deep learning model is not good at pedestrian detection of aerial imagestheir behavior cannot be further analyzed. This technique uses two pre-processing methods to adjust the aerial image. First, we use vanishing point-based image transformation to fix the perspective projection deformation. Second, we use image |
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Scientific Breakthrough | - |
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Industrial Applicability | - |
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Keyword |