Sentence examples for motion patterns by from inspiring English sources

Wright and Pless [37] determine persistent motion patterns by a global joint distribution of independent local brightness gradient distributions.

Eibl and Brändle [26] find motion patterns by clustering optical flow fields and propose an evaluation approach using clustering methods for finding dominant optical flow fields.

We then detect the scene's dominant motion patterns by applying a peculiar bottom-up region-based segmentation algorithm to the direction model's blocks.

To alleviate these issues, a common approach is to represent the state of agents under a probabilistic framework and characterize the motion patterns by following a nonlinear Bayesian state estimation.

Hu et al. [18] detect sequence's motion patterns by clustering its motion flow field, in which each motion pattern consists of a group of flow vectors participating in the same process or motion.

To the authors' best knowledge, an experimental investigation of efficient motion patterns by investigating the relationship between the gait parameters and the forward velocity has not been considered in previous literature.

One solution is to compute a unique prototype trajectory for each motion pattern, by agglomerating the previously observed trajectories.

In this paper, we propose an on-line and unsupervised motion segmentation method allowing the robot to imitate and perform actions by observing the motion patterns performed by other partner through Incremental Kernel Slow Feature Analysis.

Dr. Perry earned wide attention for her work in analyzing the human gait, which she broke down into eight motion patterns governed by 28 major muscles in each leg.

Based on this control-oriented model, in [45], averaging theory was applied to derive the average velocity dynamics of the underwater snake robot in the general case when it moves according to the sinusoidal motion patterns described by (22).

This work shows how such models can exploit typical motion patterns summarized by growing hidden Markov models (GHMMs) that can be learned from data online and without human intervention.