@inproceedings{2e617015e1b0490f87b04fb9fb1ec6c2,
title = "Fall detection based on skeleton extraction",
abstract = "This paper presents an improved skeleton extraction from depth video for fall detection based on fast randomized decision forest (RDF) algorithm. Due to the human's body orientation changes dramatically during falling, it reduces the accuracy of tracking. The human's orientation needs to be corrected before the process by RDF. A rotation to correct the orientation is required frame by frame. Experimental results show that with the help of correction our proposed fall detection method could outperform the existing RDF based method.",
keywords = "3D, activity recognition, computer vision, fall detection, motion analysis, motion capture, video surveillance",
author = "Bian, {Zhen Peng} and Chau, {Lap Pui} and Nadia Magnenat-Thalmann",
year = "2012",
month = dec,
doi = "10.1145/2407516.2407544",
language = "English",
isbn = "9781450318259",
series = "Proceedings - VRCAI 2012: 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry",
pages = "91--94",
booktitle = "Proceedings - VRCAI 2012",
note = "11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry, VRCAI 2012 ; Conference date: 02-12-2012 Through 04-12-2012",
}