In this paper a series of algorithm has been formed to track the feature of motion detection under surveillance system. In the proposed work a pixel variant plays a vital role in detection of moving object of a particular clip. If there is a little bit motion in a frame then it is detected very easily by calculating pixel variance. This algorithm detects the zero variation only when there is no...

The algorithm presented in this paper is comprised of three main stages: (1) classification of the image sequence and, in the case of a moving camera, parametric motion estimation, (2) change detection having as reference a fixed frame, an appropriately selected frame or a displaced frame, and (3) object localization using local colour features. The image sequence classification is based on sta...

We study the relativistic 2D charge distributions in case of a spin-$1$ target. These are based on phase-space approach allowing one to their frame dependence, and hence relate familiar rest-frame picture with light-front developed last two decades. Like spin-$1/2$ case, we show that kinematical effects associated spin responsible for distortions seen moving frame. Applying our results deuteron...

This study investigates the effect of frame intervals on the accuracy of the Lucas–Kanade optical flow estimates for high-frame-rate (HFR) videos, with a view to realizing accurate HFR-video-based optical flow estimation. For 512×512 pixels videos of patterned objects moving at different speeds and captured at 1000 frames per second, the averages and standard deviations of the estimated optical...

Moving targets saliency extraction is the key technology in moving target detection, tracking and recognition systems. In order to solve the problems for moving targets detection tasks, such as the background interference, target occlusion and so on, a new moving target detection method by moving saliency calculation is proposed. By the Quaternion Fast Fourier Transform, the proposed method fus...

-The researchers has attracted on object tracking research. There are many tracking algorithm, The purpose of object tracking algorithm is segmenting a region of interest from a video scene and keeping track of its motion, positioning and occlusion. Preceding steps for tracking an object in sequence of images are the object detection and object classification. To check existence and to locate t...