scholarly journals Sleep Analysis for Elderly Care Using a Low-Resolution Visual Sensor Network

2015 ◽  
pp. 26-38 ◽  
Author(s):  
Mohamed Eldib ◽  
Francis Deboeverie ◽  
Wilfried Philips ◽  
Hamid Aghajan
Keyword(s):  
Sensor Network ◽  
Elderly Care ◽  
Low Resolution ◽  
Visual Sensor ◽  
Visual Sensor Network ◽  
Sleep Analysis

scholarly journals Human Mobility Monitoring in Very Low Resolution Visual Sensor Network

Sensors ◽  
2014 ◽  
Vol 14 (11) ◽  
pp. 20800-20824 ◽  
Author(s):  
Nyan Bo ◽  
Francis Deboeverie ◽  
Mohamed Eldib ◽  
Junzhi Guan ◽  
Xingzhe Xie ◽  
...  
Keyword(s):  
Sensor Network ◽  
Human Mobility ◽  
Low Resolution ◽  
Visual Sensor ◽  
Visual Sensor Network

scholarly journals A low-cost visual sensor network for elderly care

SPIE Newsroom ◽  
2014 ◽  
Author(s):  
Francis Deboeverie ◽  
Richard Kleihorst ◽  
Wilfried Philips ◽  
Jan Hanca ◽  
Adrian Munteanu
Keyword(s):  
Sensor Network ◽  
Low Cost ◽  
Elderly Care ◽  
Visual Sensor ◽  
Visual Sensor Network

A prototype 3D target tracking system based on wireless visual sensor network

2014 ◽  
Author(s):  
Kaishun XiaHou ◽  
Shanxing Chen ◽  
Shunjian Liang ◽  
Yilin Wu
Keyword(s):  
Target Tracking ◽  
Sensor Network ◽  
Tracking System ◽  
Visual Sensor ◽  
Visual Sensor Network

Visual sensor network lifetime maximization by prioritized scheduling of nodes

2013 ◽  
Vol 36 (1) ◽  
pp. 409-419 ◽  
Author(s):  
M. Hooshmand ◽  
S.M.R. Soroushmehr ◽  
P. Khadivi ◽  
S. Samavi ◽  
S. Shirani
Keyword(s):  
Sensor Network ◽  
Network Lifetime ◽  
Visual Sensor ◽  
Lifetime Maximization ◽  
Visual Sensor Network

scholarly journals Using a wireless visual sensor network to harmonically navigate multiple low-cost wheelchairs in an indoor environment

2016 ◽  
Vol 62 ◽  
pp. 88-99 ◽  
Author(s):  
Feng Tian ◽  
Kuo-Ming Chao ◽  
Zuren Feng ◽  
Keyi Xing ◽  
Nazaraf Shah
Keyword(s):  
Sensor Network ◽  
Indoor Environment ◽  
Low Cost ◽  
Visual Sensor ◽  
Visual Sensor Network

scholarly journals An effective method for the abnormal monitoring of stage performance based on visual sensor network

2018 ◽  
Vol 14 (4) ◽  
pp. 155014771876957 ◽  
Author(s):  
Fuquan Zhang ◽  
Gangyi Ding ◽  
Lin Xu ◽  
Bo Chen ◽  
Zuoyong Li
Keyword(s):  
Sensor Network ◽  
Detection Efficiency ◽  
Abnormal Behavior ◽  
Visual Sensor ◽  
Monitoring Method ◽  
Visual Sensor Network ◽  
Manifold Structure ◽  
Local Linear Embedding ◽  
Abnormal Behavior Detection ◽  
Stage Performance

Abnormal monitoring of stage performance plays a vital role in the stage performance. For the real-time stage performance, detection efficiency and accuracy are particularly important. As the traditional monitoring method based on sparse description model to realize abnormal behavior of stage performance did not realize the manifold structure during the performance, the behavior characteristics are sparse, and the decomposition has higher volatility, the recognition accuracy of abnormal behavior is low. Therefore, an abnormal monitoring method of stage performance based on visual sensor network is proposed, the overall structure of the abnormal monitoring system of stage performance based on the vision sensor network is analyzed, the hardware structure and software composition of the system are designed, and the method of monitoring the abnormal behavior of the system is analyzed emphatically. Through the background subtraction, the weighted threshold-based segmentation of the target image from the background image, the chaotic search particle swarm optimization algorithm based on image target detection and tracking algorithm for target tracking by mean shift, the abnormal behavior of local linear embedding and detection method based on sparse representation, a comprehensive analysis of the local manifold structure of sample is set. Enhance the stage performance of abnormal behavior detection efficiency and accuracy. The experimental results show that the proposed method has higher detection efficiency and accuracy and has higher robustness.

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