- Article
(1205 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLII-2/W12
https://doi.org/10.5194/isprs-archives-XLII-2-W12-189-2019
© Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.
09 May 2019
| 09 May 2019
A SKELETON FEATURES-BASED FALL DETECTION USING MICROSOFT KINECT V2 WITH ONE CLASS-CLASSIFIER OUTLIER REMOVAL
Viewed
Total article views: 1,319 (including HTML, PDF, and XML)
Views and downloads (calculated since 09 May 2019)
Cumulative views and downloads
(calculated since 09 May 2019)
Viewed (geographical distribution)
Total article views: 1,241 (including HTML, PDF, and XML)
Thereof 1,236 with geography defined
and 5 with unknown origin.
| Country | # | % |
|---|
Latest update: 28 Dec 2025
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org