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ZENODO
Dataset . 2015
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2015
License: CC BY
Data sources: Datacite
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Indoor Skeleton Tracking Dataset

Authors: Rainer Planinc; Martin Kampel;

Indoor Skeleton Tracking Dataset

Abstract

Description This database contains skeleton tracking information obtained by the Asus Xtion pro live sensor in combination with OpenNI. It contains 3 different indoor environments: 90 days of tracking data from a living room, 74 days of tracking data within a kitchen as well as 20 days of tracking data within an office environment. The dataset has been used for evaluation in [1]. Use The dataset is freely available for non-commercial research use. Please also cite our paper [1] when using the dataset for your research. Technical Details The dataset contains 3 folders, one for each scenario. The tracking information is provided within csv files (e.g. 1.csv), where one day of tracking information is saved per CSV file. Corresponding ground plane estimation results are provided in textfiles (e.g. 1_groundPlane.txt), containing the estimated ground plane parameters a, b, c and d for the 1st day. The csv files include the following information: FrameNr, Timestamp, FPS (can be ignored) Moreover, tracking information (x, y, z, confidence) provided by OpenNI of the following skeleton joints is available: Center of mass, left and right hip, spine, shoulder center, head, left and right knee, left and right foot, left and right shoulder, left and right elbow, left and right hand References [1] Planinc R., Kampel M. “Human Centered Scene Understanding based on 3D Long-Term Tracking Data”, Proceedings of the Iberian Conference on Pattern Recognition and Image Analysis (IbPria), to appear, Santiago de Compostela, Spain, June 2015.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average