Research Data Leeds Repository
Complex and Long Activities Dataset
Tayyub, Jawad and Hawasly, Majd and Cohn, Anthony (2017) Complex and Long Activities Dataset. University of Leeds. [Dataset] https://doi.org/10.5518/249
Dataset description
An activity dataset is presented here which exhibits real-life and diverse scenarios of complex, temporally-extended human activities and actions. The dataset consists of a set of videos of actors performing everyday activities in a natural and unscripted manner. The dataset was recorded using a static Kinect 2 sensor which is commonly used on many robotic platforms. The dataset comprises of RGB-D images, point cloud data, automatically generated skeleton tracks in addition to crowdsourced annotations. We believe that this dataset is particularly suitable as a testbed for activity recognition research but it can also be applicable for other common tasks in robotics/computer vision research such as object detection and human skeleton tracking.
Additional information: | NOTE: THIS DATASET IS UNDER REVIEW AND MAY BE SUBJECT TO CHANGE | ||||
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Keywords: | activity recognition, daily living activities, video | ||||
Divisions: | Faculty of Engineering and Physical Sciences > School of Computing | ||||
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Citation: | Please cite the related publication paper. | ||||
License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||
Date deposited: | 24 Sep 2017 20:05 | ||||
URI: | http://archive.researchdata.leeds.ac.uk/id/eprint/254 | ||||