UCLA Aerial Event Dataset

Introduced by Shu et al. in Joint Inference of Groups, Events and Human Roles in Aerial Videos

The UCLA Aerial Event Dataest has been captured by a low-cost hex-rotor with a GoPro camera, which is able to eliminate the high frequency vibration of the camera and hold in air autonomously through a GPS and a barometer. It can also fly 20 ∼ 90m above the ground and stays 5 minutes in air.

This hex-rotor has been used to take the set of videos in the dataset, captured in different places: hiking routes, parking lots, camping sites, picnic areas with shelters, restrooms, tables, trash bins and BBQ ovens. By detecting/tracking humans and objects in the videos, the videos can be annotated with events.

The original videos are pre-processed, including camera calibration and frame registration. After pre-processing, there are totally 27 videos in the dataset, the length of which ranges from 2 minutes to 5 minutes. Each video has annotations with hierarchical semantic information of objects, roles, events and groups in the videos.

Source: Joint Inference of Groups, Events and Human Roles in Aerial Videos

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