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Finding missing persons by learning features for person attribute classification based on deep learning
Finding missing persons by learning features for person attribute classification based on deep learning
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机译：通过学习功能找到失踪人员以基于深度学习进行人员属性分类
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摘要
An embodiment of the invention provides a method for finding missing persons by learning features for person attribute classification based on deep learning. A first component of a neural network identifies geographic locations of training images; and, a second component of the neural network identifies weather information for each of the identified geographic locations. A third component of the neural network generates image pairs from the training images. For each image pair of the image pairs, the third component of the neural network determines whether images of the image pair include the same person. The neural network generates neural network parameters with the identified geographic locations, the weather information for each of the identified geographic locations, and the determination of whether the images of the image pairs include the same person.
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