Sentence examples for motion prediction are from inspiring English sources

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}.

The loss-aware motion estimation and loss-aware motion prediction is not used in our approach, because we extend ROPE in different direction, in fact, the gain can be accumulated if both the loss-aware motion estimation and loss-aware motion prediction are applied.

Human motion prediction is gaining importance since this helps minimizing the hinder robots cause during the execution of these tasks.

High-frequency ground motion prediction is important for seismic hazard analysis.

Strong motion prediction is an important objective of seismic hazard assessment, particularly in the Taiwan region.

The ground motion prediction is the first step of earthquake damage assessment.

Motion prediction is employed to further exploit the temporal relationship between successive frames.

To achieve this goal, ground motion prediction is strategically used to establish an adequate building code for earthquake engineering and hazard assessment, based on the possible peak ground motion at a given distance from a large scenario earthquake.

Thus, applying analytical estimations using Eq. (13) to strong ground motion prediction is not straightforward, in particular because peak ground motions (e.g., peak ground velocity) are mainly excited by S-waves (e.g., Atkinson and Mereu 1992).

Therefore, the motion vector encoding procedure in H.264 standard [1], which includes motion vector prediction, is adopted to encode the redundant motion vector to reduce bits.

The motion vector prediction is affected because of having constrained or dispersed search space.