ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 2P1-G08
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服装データベースを用いた服装の類似度による人物探索
*田窪 朋仁富永 陸上野 敦志
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A method searchinf for a person by focusing on the clothing of the target is proposed. YoloV3 is used to extract the area of the person the 360 degree image by RICO Theta Z1. The extracted image is compared with the photo to be searched by the cherasteristic of the person’s wear. The ResNet model is trained using the Category and Attribute Prediction Benchmark of the Deepfashion dataset, which contains images of various outfits. This model is used for discrimination by calculating the similarity between the clothing of the person in the camera and the clothing of the person in one photo.

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