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In this paper, the design of hardware architecture for a bio-inspired neural model for motion estimation is presented.
Let us start with one of motivations of this study considering a simplified model for motion of a single mass point X ″ ( t ) = f ( t ), t ∈ [ 0, + ∞ ), (1.1).
An additional forces model for motion conditions was proposed in the code, and CFX-14.0 code was applied to verify the model.
In order to cope with outdoor environments, our framework aims at developing a novel Color-based Independent Comodelnt Analysis (CICA) model for motion detection in a color-image sequence.
On the other hand, it is also difficult to establish a universal model for motion blur since it varies depending on the actual motion during the exposure time of the imaging lens [36].
The characteristics of a human which are applied to modified social force model for motion prediction, are stated as textbf{H} = left[ x_{t}; y_{t};v_{t};rho_{t};vartheta_{t} right]^{T}.
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A Polynomial Approximation Motion Estimation Model for motion-compensated frame interpolation is proposed [19, 20].
Olympic gymnast and NCAA Women's Gymnastics champion Heidi Moneymaker was the model used for motion capturing.
Our numerical model is designed to simulate the injection of a mixture of solid pyroclasts and volcanic gas from a circular vent above a flat earth surface in a stratified atmosphere, using a combination of a pseudo-gas model for fluid motion and a Lagrangian model for particle motion.
The motions constructed may serve as a simplified model for the motion of snakes and other animals with no extremities.
Subsequently prediction can be performed online given a partial trajectory by finding the most likely motion pattern(s) and using the prototype trajectories as a model for future motion.
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