Dataset Open Access
Jiqing Zhang,Xin Yang,Yingkai Fu,Xiaopeng Wei,Baocai Yin,Bo Dong.
Object tracking by jointly frame and event domain,proceeding of the IEEE/CVF international Conference on Computer Vision. 2021.
[2109.09052] Object Tracking by Jointly Exploiting Frame and Event Domain (arxiv.org)
Please cite this paper when using the data: BibTex.txt
Introduction:
The FE108 dataset is captured by a DAVIS346 eventbased camera, which equips a 46x260 pixels dynamic vision sensor (DVS) and an active pixel sensor (APS). It can simultaneously provide events and aligned grayscale images of a scene. The ground truth bounding boxes of a moving target are provided by the Vicon motion capture system, which captures motion with a high sampling rate (up to 330Hz) and sub-millimeter precision. During the capturing process, we fix APS’s frame rate to 20/40 FPS and Vicon’s sampling rate to 240Hz, which are also the annotation frequency of the captured APS frame and accumulated events, respectively.
FE108 is featured in
> High-quality label. The Vicon system can provide the 3D position in sub-millimeter precision.
> Diversity in target. 21 classes (animal, vehicle, and daily goods).
> Diversity of event rate. Avg event rate in (0, 3800] Ev/ms.
> Real world challenges. Low light, high dynamic range, fast motion, motion blur and so on.
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