Drivers' Motion Depth DataBase - DMDDB
DMDDB is an open-access scientific database that contains 523 depth video sequences of 27 drivers performing 236 merges and 287 lane changes. The depth data were collected in Spring 2014, in the area of Gainesville, Florida using Microsoft's Kinect sensor with the popular J4K (Java for Kinect) library. The 3D motion of the drivers was captured in the database in more than 300,000 depth frames (305,333), with 16 billion 3D points (15,739,194,425). You can browse the 3D data using our on-line DMDDB viewer.
The interdisciplinary team that collected, segmented, and created this dataset consisted of faculty and students from the University of Florida and the University of Alabama, Birmingham listed here in alphabetical order: Angelos Barmpoutis, Shaghayegh Rostami Hosuri, Md Mozahidul Islam, Alexandra Kondyli, Virginia P. Sisiopiku, Lei Zhang, Liangke Zhao.
The DMDDB API is based on the UFDW Java Library developed by Prof. Angelos Barmpoutis, and further extended by the students and faculty who work in the SAGE program (Serious and Applied Gaming Environments) at the Digital Worlds Institute. You can find more information about how to join our graduate and undergraduate programs at this link (www.digitalworlds.ufl.edu).
Where to begin?
Click on the above image to enlarge.
Click to browse the dataset.
Acknowledgement: Funded in part by the US Department of Transportation / STRIDE, Award ID: DTRT12-G-UTC04 / 2013-051S, STRIDE project title "Investigating the effect of drivers' body motion on traffic safety", Principal Investigator: Angelos Barmpoutis, September 2013-April 2015.
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