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In the development of the next generation of smart homes and remote health monitoring system, human action analyzing algorithms are of vital importance. Among different sensor technologies, vision-based systems are superior in the sense that they can provide a non-intrusive interface between human occupants and the environment. It is almost impossible to build an efficient system for human action...
An efficient 2D to 3D video conversion method that utilizes the H.264 motion estimation procedure is proposed. The depth information is determined based on the objects' motion information within the scene. Performance evaluations show that our approach outperforms the other existing H.264-based depth map estimation technique by up to 2.2 dB PSNR, and provides more realistic depth information about...
We present an efficient low random delay scheme for multiview video coding (MVC). In the proposed scheme, inter-view prediction (disparity estimation), which introduces time-consuming computations and random access delay to MVC, is replaced with a residue-stream coding process. Our algorithm transforms the middle view to a panoramic view of the scene. Then the residue streams are created as the difference...
A new prediction structure for coding multi-view video streams is presented. In general, for free viewpoint TV (FTV) applications, it is necessary that multi-view videos are efficiently compressed before transmission. Our algorithm synthesizes extra video streams and uses them as extra references when coding the original views. These streams are synthesized based on the already encoded frames from...
An efficient method that converts 2D video sequences to 3D is presented. This method utilizes the motion information between consecutive frames to approximate the depth map of the scene. To estimate the depth map, the horizontal motion captured by a single camera is revised and then approximated as the displacement between the right and left frames captured by two cameras in a stereoscopic set-up...
An efficient 2D to 3D video conversion method which utilizes the H.264 motion estimation process is proposed. The relationship between motion and depth was approximated via our non-linear scheme, that is based on the characteristics of 3D visual perception. Performance evaluations show that our approach outperforms other existing motion-based depth map estimation technique by 1.84 dB PSNR via providing...
Heart beat is an unavoidable source of interference during lung sound recording. This disturbance is more significant at low and medium breathing flow rates. Removing heart sounds (HS) from lung sound recordings or vice versa is a challenging task but of great interest for respiratory specialists and cardiologists. In this study, to separate the two signals, a novel HS separation method based on independent...
This paper presents the design of an automatic and intelligent robot arm for object grasping for people on wheelchair with mild to severe disabilities. The system is equipped with stereovision detection in order to distinguish different objects from the background. The robot arm has been designed with 6 degrees of action to grasp the detected object from the floor and bring it in front of the user...
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