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IPIS Lab's (Prof. Joonki Paik) paper published in IEIE T-SPC (SCOPUS, KCI)

관리자 │ 2022-06-30

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Our paper of Image Processing and Intelligent systems (IPIS) Lab is published in IEIE Transactions on Smart Processing and Computing (SCOPUS, KCI). [LINK]


Title: 

Synthetic Image Generation for Data Augmentation to Train an Unconscious Person Detection Network in a UAV Environment


Authors:

Junghoon Sung, Heegwang Kim, Mingi Kim, Yeongheon Mok, Chanyeong Park, Joonki Paik


Abstract:

In this paper, we propose a data augmentation method using synthetic data generation for detecting an unconscious person in drone images. First, we extract the most salient and delicate foreground mask from a reference image that simulates an unconscious person situation using Net, which is a Salient Object Detection (SOD) model. Second, we apply shadow generation to the foreground mask for the natural appearance of the object. The unconscious person object generated by the foreground mask is synthesized with the background image of the Unmanned Aerial Vehicle (UAV) environment according to the altitude using object resizing. Therefore, we generate the most similar data to the image acquired by the drone. We verified the synthetic data-based image dataset using various object detection models, such as YOLOv4, YOLOv5, and EfficientDet. As a result, the Average Precision (AP) is higher than that of the real-world dataset. Our proposed method could be used to generate synthetic data for detecting an unconscious person and reducing the time cost and human resources needed for various tasks.



이전글 캐릭터애니메이션/콘텐츠프로듀싱연구실 (Prof. Tak Hoon Kim)'s p...
다음글 IPIS Lab's (Prof. Joonki Paik) paper published in IEIE T-SPC (SCOPUS, KCI)