Fall detection and recognition from egocentric visual data: A case study

Dataset

Description

This data set contains egocentric videos from two cameras attached to the waist and chest of one volunteer. The contents of the videos contain indoor and outdoor scenes and do not contain people. The data set was to for evaluation of a novel fall detection system using ego centric visual data.
Date made available19-Nov-2020
PublisherDataverseNL
Date of data production1-Jan-2020 - 31-Aug-2020
  • Fall detection and recognition from egocentric visual data: A case study

    Wang, X., Talavera Martínez, E., Karastoyanova, D. & Azzopardi, G., 2021, Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J. & Vezzani, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 431-443 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12661 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    5 Citations (Scopus)
    280 Downloads (Pure)

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