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
Keywords:	activity recognition, daily living activities, video
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing
Related resources:	Location Type https://arxiv.org/abs/1709.03456 Publication
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
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Tayyub, Jawad Hawasly, Majd https://orcid.org/0000-0003-1823-5580 Cohn, Anthony https://orcid.org/0000-0002-7652-8907 Type of data: Dataset Publication date: 2017 Resource language: English Publisher: University of Leeds Contact Email Address: sc12jbmt@leeds.ac.uk Last Modified: 27 Sep 2017 12:54

Files

Documentation

Description of the file structure [100B] Description of the file structure [100B] Description of the file structure [100B] Visible to: Anyone File name: readme.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 100B

Data

Crowdsourced annotations [219kB] Crowdsourced annotations [219kB] Crowdsourced annotations [219kB] Visible to: Anyone File name: annotations.zip Content type: Data Description: These files contain crowdsourced annotations of the videos with start, end frames and activity labels of identifies videos. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 219kB

Compressed videos [83MB] Compressed videos [83MB] Compressed videos [83MB] Visible to: Anyone File name: videos.zip Content type: Data Description: These are .mp4 compressed files of all the videos. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 83MB

Skeleton Tracks [166MB] Skeleton Tracks [166MB] Skeleton Tracks [166MB] Visible to: Anyone File name: skeletons.zip Content type: Data Description: These are skeleton tracks of the people in each videos in the resolution of raw images Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 166MB

Sample [10GB] Sample [10GB] Sample [10GB] Visible to: Anyone File name: sample.zip Content type: Data Description: A small sample of the dataset Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 10GB