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Articles in [33 38] present the subsample approaches for motion estimation.
Among many works focusing on computer vision, the visual surveillance problem is discussed in [1], where conventional approaches for motion detection are presented.
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In this paper, we propose a joint optical flow and PCA approach for motion detection.
Virtual constraints approach for motion planning is considered prior the controller design in order to achieve the control goal.
The results confirm the ability of velocity potential approach for motion control of both self-organizing formations.
The paper presents an integrated approach for motion planning and control of nonlinear systems in obstacle environments.
A hierarchical approach for motion planning and control of nonlinear systems operating in obstacle environments is presented.
This yields an efficient approach for motion planning and feedforward control, which is amended by a state feedback controller to address model uncertainties or disturbances.
In this paper, we propose a novel approach for motion generation in robotic systems based on the notion of finite-time reachability.
Among many efficient motion estimation algorithms, the FSBM algorithm with sum of absolute difference (SAD) is the most popular approach for motion estimation because of its considerably good quality.
Our findings also suggest that pharmacologic enhancement of endocannabinoid signaling may represent an alternative prophylactic or therapeutic approach for motion sickness in patients who do not respond to currently available treatments [13], [39].
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