Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...

The paper is devoted to study the Dirichelet energy of moving frames on 2-dimensional tori immersed in the euclidean 3 ≤ m-dimensional space. This functional, called Frame energy, is naturally linked to the Willmore energy of the immersion and on the conformal structure of the abstract underlying surface. As first result, a Willmore-conjecture type lower bound is established : namely for every ...

In this thesis we propose an algorithm which allows detection and tracking of objects that appear in videos as fast moving which can possibly slow down. Object is fast moving (with respect to a camera) if its projected trajectory is larger than its size in one frame. In a single frame, such objects are often barely visible and appear as semi-transparent streaks. The detection part of the algori...

Moving object extraction is a critical stage in a measurable 2D and 3D photogrammetric surveillance systems. In order to keep the frame rate of the live video, the chosen automatic method should be fast enough. Moreover, it is important to extract the moving objects precisely to be able to increase the accuracy of the measurements. Prior to the boundary extraction stage, the moving objects must...

A semi-automatic algorithm to extract the semantic video object in image sequences is proposed. Different schemes are used to get the initial video object in the first frame and other frames of a sequence. In the first frame, two polygons are input by the user to specify the area in which the object boundary is located. Then the video object is extracted automatically based on only the first fr...

The monopole singularity string, infinite direct line in the rest reference frame, is considered as a rigid physical line, and behavior of its geometrical form under the Lorentz transformations is studied. The method to test the form of any rigid line or surface in relativistical terms is based on the use of light signals emitted from the origin of the reference frame. Influence of the motion o...

In this paper a recognition and tracing scheme for moving objects by video monitoring system was studied. Methods: During moving objects recognition, Multi frame sampling method was used to establish the initial background. Edges of the moving objects were drawn according to the changes of the images, and the influence factors for edges drawing were eliminated. In the end, tracing for moving ob...

Objective: In this paper a recognition and tracing scheme for moving objects by video monitoring system was studied. Methods: During moving objects recognition, Multi frame sampling method was used to establish the initial background. Edges of the moving objects were drawn according to the changes of the images, and the influence factors for edges drawing were eliminated. In the end, tracing fo...

Frames for R can be thought of as redundant or linearly dependent coordinate systems, and have important applications in such areas as signal processing, data compression, and sampling theory. The word “frame” has a different meaning in the context of differential geometry and topology. A moving frame for the tangent bundle of a smooth manifold is a basis for the tangent space at each point whi...

This paper describes a new method for detection and tracking of moving objects from a moving camera image sequence using robust estimation and active contour models. We assume that the apparent background motion between two consecutive image frames can be approximated by affine transformation. In order to register the static background, we estimate affine transformation parameters using LMedS (...