VFP290K dataset

Vision-based Fallen Person (VFP290K) dataset consists of 294,714 frames of fallen persons extracted from 178 videos from 49 backgrounds, composing 131 scenes. We empirically demonstrate the effectiveness of the features through extensive experiments comparing the performance shift based on object detection models. In addition, we evaluate our VFP290K dataset with properly divided datasets by measuring the performance of fallen person detecting systems.

We ranked first in the first round of the anomalous behavior recognition track of AI Grand Challenge 2020, South Korea, using our VFP290K dataset, which can further extend to other applications, such as intelligent CCTV or monitoring systems, as well.

For dowload, directly email swoo@g.skku.edu