نتایج جستجو برای: moving frame

تعداد نتایج: 200242  

Journal: :Wireless Communications and Mobile Computing 2022

In sports, kinematic image analysis is primarily concerned with the examination of space-time characteristics, such as speed and acceleration related objects. Software hardware make up entire system. The medical scanner, scanning workstation, DICOM server are all part hardware. Our self-developed scanner used in which can collect binary, 8-bit gray, 24-bit true color, 16-bit 48-bit color images...

2004
Ninad Thakoor Jean Gao Huamei Chen

Automatic moving object detection/extraction has been explored extensively by the computer vision community. Unfortunately majority of the work has been limited to stationary cameras, in which background subtraction is utilized as the major methodology. In this paper, we will present a technique to tackle the problem in the case of moving camera which is the most often encountered situation in ...

Journal: :J. Symb. Comput. 2003
Peter J. Olver

Although the ideas date back to the early nineteenth century (see [1; Chapter 5] for detailed historical remarks), the theory of moving frames (“repères mobiles”) is most closely associated with the name of Élie Cartan, [12], who molded it into a powerful and algorithmic tool for studying the geometric properties of submanifolds and their invariants under the action of a transformation group. I...

2008
Antoine Suarez

It is argued that: 1) Quantum Mechanics implies the preferred frame also because of the collapse delayed at detection, 2) forthcoming experiments with moving beam-splitters will allow us to decide between Preferred Frame and Multisimultaneity, and 3) if Preferred Frame prevails, superluminal communication is in principle possible.

Journal: :IEEE Trans. Multimedia 1999
Jürgen Stauder Roland Mech Jörn Ostermann

To prevent moving shadows being misclassified as moving objects or parts of moving objects, this paper presents an explicit method for detection of moving cast shadows on a dominating scene background. Those shadows are generated by objects moving between a light source and the background. Moving cast shadows cause a frame difference between two succeeding images of a monocular video image sequ...

1999
J. STAUDER

| To prevent moving shadows being misclassiied as moving objects or parts of moving objects, this paper presents an explicit method for detection of moving cast shadows on a dominating scene background. Those shadows are generated by objects moving between a light source and the background. Moving cast shadows cause a frame diierence between two succeeding images of a monocular video image sequ...

2003
Hy Trac

We present a new approach to Eulerian computational fluid dynamics that is designed to work at high Mach numbers encountered in astrophysical hydrodynamic simulations. The Eulerian fluid conservation equations are solved in an adaptive frame moving with the fluid where Mach numbers are minimized. The moving frame approach uses a velocity decomposition technique to define local kinetic variables...

2001
JEANNE NIELSEN

LetM be an n-dimensional Riemannian manifold. ThenM is a differentiable manifold with a smoothly varying inner product 〈, 〉x on each tangent space TxM . An orthonormal frame at the point x ∈ M is an orthonormal basis {e1, . . . , en} of the tangent space TxM . The set of orthonormal frames at each point is isomorphic to the Lie group O(n), and the set of orthonormal frames on M forms a principa...

Journal: :CoRR 2015
Nayyab Naseem Mehreen Sirshar

Security concerns has been kept on increasing, so it is important for everyone to keep their property safe from thefts and destruction. So the need for surveillance techniques are also increasing. The system has been developed to detect the motion in a video. A system has been developed for real time applications by using the techniques of background subtraction and frame differencing. In this ...

2011
David O. Johnson Arvin Agah

We propose an automatic image registration algorithm for tracking moving objects in low-resolution videos. The algorithm uses SIFT keypoints to identify matching stationary points in the input frame and the base frame. The best set of matching stationary points is used to create a spatial transform to register the points on the moving objects in the input frame to the base frame. We examined tw...

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