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‎Dataset_kor.html‎

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<h1 class="page-title">VFP290K dataset</h1>
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<p>Vision-based Fallen Person (VFP290K) 데이터셋은 49개의 배경, 131개의 장면을 갖는 178개의 비디오로부터 낙상사고를 당한 사람에 대해 294,714개의 프레임을 추출하여 만들어졌습니다. 저희는 object detection 모델에 따른 성능 변화를 광범위한 실험을 통해 비교하였고, feature의 효과를 입증할 수 있었습니다. 또한, 저희는 낙상 감지 시스템의 성능을 측정하여 데이터세트를 평가하였습니다. 저희는 VFP290K 데이터셋을 사용하여, 2020 AI Grand Challenge의 비정상 행동 탐지 track의 첫 번째 라운드에서 1위를 달성하였고, 이는 지능형 CCTV나 감시 시스템과 같은 곳에 확대 적용될 가능성을 보여줍니다. <p><br>
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<p align=center><img border=0 src="/img/VFP.JPG" width="1080"></p>
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<h1 class="page-title">SKKU AGC Anomaly Detection Dataset</h1>
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<p align=center><img border=0 width=240 height=135 src="/img/AGC_detection.jpg"></p>
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‎_site/Dataset_kor/index.html‎

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<p>Vision-based Fallen Person (VFP290K) 데이터셋은 49개의 배경, 131개의 장면을 갖는 178개의 비디오로부터 낙상사고를 당한 사람에 대해 294,714개의 프레임을 추출하여 만들어졌습니다. 저희는 object detection 모델에 따른 성능 변화를 광범위한 실험을 통해 비교하였고, feature의 효과를 입증할 수 있었습니다. 또한, 저희는 낙상 감지 시스템의 성능을 측정하여 데이터세트를 평가하였습니다. 저희는 VFP290K 데이터셋을 사용하여, 2020 AI Grand Challenge의 비정상 행동 탐지 track의 첫 번째 라운드에서 1위를 달성하였고, 이는 지능형 CCTV나 감시 시스템과 같은 곳에 확대 적용될 가능성을 보여줍니다. <p><br>
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