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» Fall Detection from Depth Map Video Sequences
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ICOST
2011
Springer
12 years 8 months ago
Fall Detection from Depth Map Video Sequences
Falls are one of the major risks for seniors living alone at home. Computer vision systems, which do not require to wear sensors, offer a new and promising solution for fall detec...
Caroline Rougier, Edouard Auvinet, Jacqueline Rous...
CVPR
2012
IEEE
11 years 7 months ago
Consistent depth maps recovery from a trinocular video sequence
In this paper, we propose a novel dense depth recovery method for a trinocular video sequence. Specifically, we contribute a novel trinocular stereo matching model, which can eff...
Wenzhuo Yang, Guofeng Zhang, Hujun Bao, Jiwon Kim,...
IPAS
2010
13 years 7 months ago
A memory-efficient and time-consistent filtering of depth map sequences
View plus depth` is a 3D video representation where a single color video channel is augmented with per-pixel depth information in the form of gray-scale video sequence. This repre...
Sergey Smirnov, Atanas P. Gotchev, Karen O. Egiaza...
ICASSP
2011
IEEE
12 years 8 months ago
Fall detection in a smart room by using a fuzzy one class support vector machine and imperfect training data
In this paper, we propose an efficient and robust fall detection system by using a fuzzy one class support vector machine based on video information. Two cameras are used to capt...
Miao Yu, Syed Mohsen Naqvi, Adel Rhuma, Jonathon A...
ICCV
2007
IEEE
14 years 6 months ago
Real-Time Visibility-Based Fusion of Depth Maps
We present a viewpoint-based approach for the quick fusion of multiple stereo depth maps. Our method selects depth estimates for each pixel that minimize violations of visibility ...
Paul Merrell, Amir Akbarzadeh, Liang Wang, Philipp...