In computer vision, the interpretation of optical neural network, it is assumed that motion develops all over the flow ( motion vector field calculated from images ) and estimation frame, centering around the center of the frame. of motion are important tasks. This study proposes a motion interpretation network which enables optical flow (OF) interpretation and describes motions on a plane thro...

This paper proposes combining spatio-temporal appearance (STA) descriptors with optical flow for human action recognition. The STA descriptors are local histogram-based descriptors of space-time, suitable for building a partial representation of arbitrary spatio-temporal phenomena. Because of the possibility of iterative refinement, they are interesting in the context of online human action rec...

We present a new method for optical flow computation based on the minimization of a non-quadratic functional. The solution of the obtained nonlinear differential equations is done with a time dependent approach leading to the successive solutions of linear systems. This new method allows to compute optical flow fields while insuring a unique solution and preserving the flow discontinuities. Thi...

In this article, the authors address a problem of the estimation of high velocity optical flow. When images are captured by conventional image sensors, the problem of the optical flow estimation is illposed if only the temporal constancy of the image brightness is the valid assumption. When given images are captured by the correlation image sensors, though, you can make the problem of the optic...

BACKGROUND AND PURPOSE Digital subtraction angiography is the gold standard vascular imaging and it is used for all endovascular treatment of intracranial anerysms. Optical flow imaging has been described as a potential method to evaluate cerebral hemodynamics through DSA. In this study, we aimed to compare the flow patterns measured during angiography, by using an optical flow method, with tho...

Motion detection is very important in image processing. One way of detecting motion is using optical flow. Optical flow cannot be computed locally, since only one independent measurement is available from the image sequence at a point, while the flow velocity has two components. A second constraint is needed. The method used for finding the optical flow in this project is assuming that the appa...

Optical mouse chips-equipped with adequate lenses-can serve as small, light, precise, fast, and cheap motion sensors monitoring optic flow induced by self motion of an agent in a contrasted environment. We present a device that extracts self motion parameters exclusively from flow in eight mouse sensors. Four pairs of sensors with opposite azimuth are mounted on a sensor head, each individual s...