This paper has a very modest scope: we present our “operational system” for Hamiltonian mechanics on cotangent bundles M = T Q, based on moving frames. In a related work [10], we will present some concrete examples to convey the algorithmical nature of this formalism. A powerful tool in riemannian geometry is the “method of moving frames”, introduced by Élie Cartan. Actually, moving frames appe...

A novel adaptive video object tracking algorithm is proposed using intensity based and feature based techniques which results in improved reliability and at the same time it aims to reduce computational complexity. This is achieved by intelligently combining SIFT and BMA and making it adaptive to the speed of the moving object. Tracking frame by frame using SIFT which is successful for detectin...

In video surveillance, there are many interference factors such as target changes, complex scenes, and target deformation in the moving object tracking. In order to resolve this issue, based on the comparative analysis of several common moving object detection methods, a moving object detection and recognition algorithm combined frame difference with background subtraction is presented in this ...

In this paper we present a track matching algorithm based on the “major color” histograms matching and the post-matching integration useful for tracking a single object across multiple, limitedly disjoint cameras. First, the Major Color Spectrum Histogram (MCSH) is introduced to represent a moving object in a single frame by its most frequent colors only. Then, a twodirectional similarity measu...

The conventional discussion of apparent distortions of space and time in Special Relativity (the Lorentz-Fitzgerald Contraction and Time Dilatation) is extended by considering observations of : (i) moving objects of limited lifetime in their own rest frame ('transient luminous objects') and (ii) a moving extended array of synchro-nised 'equivalent clocks' in a common inertial frame. Application...

In this paper we are proposing a technique to extract a moving text-line in a video and split if there are dual moving text-line in it. In second stage we mask the one or both moving text-line to secure the information or to avoid the unnecessary information. In third stage the extracted moving text-line is inserted at different location of the video-frame if required. This simulation work is d...

In this paper, a video object segmentation algorithm with robust reference frame generation has been proposed. This algorithm uses a robust approach for obtaining a reference background frame in order to improve the results of change detection and also solves the problems of dis-occluded regions appearing as part of the segmented moving objects. In addition, a change detection process with adap...

This paper describes a semi-automatic method for moving object segmentation and tracking. This method is suitable when a few objects have to be tracked, while the camera moves and fixates on them. The user delineates approximately the initial locations in a selected frame and specifies the depth ordering of the objects to be tracked. First, motion-based segmentation is obtained through an initi...

Moving vehicle detection has become increasingly important in transportation management and road infrastructure development. State-of-the-art moving vehicle detection techniques require multi-frame images or at least a stereo pair of aerial photos for moving information extraction. This paper presents a new technique to detect moving vehicles using just one single set of QuickBird imagery, inst...

We explore the possibility that the rest frames of CMB, matter and dark energy differ one from another, i.e. they do not converge on very large scales. In such a case, the usual interpretation of the CMB dipole as being due to the relative motion of the observer with respect to the CMB rest frame is not appropriate. Instead, we find that the measured dipole is due to the observer motion relativ...