A 3D Network Model of Rock Permeability Impairment Due to Suspended Particles in Injection Water

2003 ◽  
Author(s):  
A.G. Siqueira ◽  
E.J. Bonet ◽  
F.S. Shecaira
Keyword(s):  
Network Model ◽  
Suspended Particles ◽  
Rock Permeability ◽  
3D Network ◽  
Injection Water ◽  
Permeability Impairment

Reconstruction of 3D Network Model through CT Scanning

2007 ◽  
Author(s):  
Jian Hou ◽  
ShunKang Zhang ◽  
Yubin Li
Keyword(s):  
Network Model ◽  
Ct Scanning ◽  
3D Network

3D network model of NO transport in tissue

2011 ◽  
Vol 49 (6) ◽  
pp. 633-647 ◽  
Author(s):  
Xuewen Chen ◽  
Donald G. Buerk ◽  
Kenneth A. Barbee ◽  
Patrick Kirby ◽  
Dov Jaron
Keyword(s):  
Network Model ◽  
3D Network

scholarly journals MOVING HUMAN PATH TRACKING BASED ON VIDEO SURVEILLANCE IN 3D INDOOR SCENARIOS

2016 ◽  
Vol III-4 ◽  
pp. 97-101 ◽  
Author(s):  
Yan Zhou ◽  
Sisi Zlatanova ◽  
Zhe Wang ◽  
Yeting Zhang ◽  
Liu Liu
Keyword(s):  
Video Surveillance ◽  
Network Model ◽  
Path Tracking ◽  
Depth Information ◽  
Surveillance Systems ◽  
Indoor Space ◽  
Single Person ◽  
3D Network ◽  
Indoor Scenarios ◽  
Moving Path

Video surveillance systems are increasingly used for a variety of 3D indoor applications. We can analyse human behaviour, discover and avoid crowded areas, monitor human traffic and so forth. In this paper we concentrate on use of surveillance cameras to track and reconstruct the path a person has followed. For the purpose we integrated video surveillance data with a 3D indoor model of the building and develop a single human moving path tracking method. We process the surveillance videos to detected single human moving traces; then we match the depth information of 3D scenes to the constructed 3D indoor network model and define the human traces in the 3D indoor space. Finally, the single human traces extracted from multiple cameras are connected with the help of the connectivity provided by the 3D network model. Using this approach, we can reconstruct the entire walking path. The provided experiments with a single person have verified the effectiveness and robustness of the method.

scholarly journals MOVING HUMAN PATH TRACKING BASED ON VIDEO SURVEILLANCE IN 3D INDOOR SCENARIOS

2016 ◽  
Vol III-4 ◽  
pp. 97-101
Author(s):  
Yan Zhou ◽  
Sisi Zlatanova ◽  
Zhe Wang ◽  
Yeting Zhang ◽  
Liu Liu
Keyword(s):  
Video Surveillance ◽  
Network Model ◽  
Path Tracking ◽  
Depth Information ◽  
Surveillance Systems ◽  
Indoor Space ◽  
Single Person ◽  
3D Network ◽  
Indoor Scenarios ◽  
Moving Path

Video surveillance systems are increasingly used for a variety of 3D indoor applications. We can analyse human behaviour, discover and avoid crowded areas, monitor human traffic and so forth. In this paper we concentrate on use of surveillance cameras to track and reconstruct the path a person has followed. For the purpose we integrated video surveillance data with a 3D indoor model of the building and develop a single human moving path tracking method. We process the surveillance videos to detected single human moving traces; then we match the depth information of 3D scenes to the constructed 3D indoor network model and define the human traces in the 3D indoor space. Finally, the single human traces extracted from multiple cameras are connected with the help of the connectivity provided by the 3D network model. Using this approach, we can reconstruct the entire walking path. The provided experiments with a single person have verified the effectiveness and robustness of the method.

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