Object tracking is a very essential task in many applications of computer vision such as surveillance, vehicle navigation, autonomous robot navigation, etc. It contains detection of interesting moving objects and tracking of such objects from frame to frame. Its main task is to find and follow a moving object or multiple objects in image sequences. Normally there are three stages of video analy...

It is considered the procedure of definition of the elements of length and time by means of photon. In order to define the element of length one needs an a priori given element of time. In order to define the element of time one needs an a priori given element of length. It is taken the laboratory time and length as a priori given time and length respectively. It is defined the elements of leng...

Abstract Here, we show that isorefractive spacetime crystals with a travelling-wave modulation may mimic rigorously the response of moving material systems. Unlike generic crystals, which are characterized by bi-anisotropic coupling in co-moving frame, exhibit an observer-independent response, resulting isotropic constitutive relations devoid any bianisotropy. We how to take advantage this prop...

An unambiguous definition of the electromagnetic spatial densities for a spin-1/2 system is proposed and worked out in zero average momentum frame moving frames. The obtained results are compared with traditional terms three-dimensional Fourier transforms form factors Breit frame.

Object tracking is commonly used in video surveillance, but typically video with full frame rate is sent. We previously have shown that full frame rate is not needed, but it is unclear what the appropriate frame rate to send or whether we can further reduce the frame rate. This paper answers these questions for two commonly used object tracking algorithms (frame-differencing-based blob tracking...

In many computer vision applications such as surveillance systems, detecting moving objects is the first step of information extraction. This paper introduces a query answering system that aims at responding to user queries without the need to scan the whole video tape. The proposed system is based on finding the minimum boundary rectangles (MBRs) of moving objects which appear in the video. It...

Extracting moving objects from a video sequence is the first step of many video processing applications, including traffic monitoring and security surveillance. If the camera is fixed in the scene, we can detect moving objects by background subtraction, and many methods have been proposed for generating background images in varying illumination conditions[4, 13]. For images taken by a pan-tilt ...

We propose a robust approach to detecting and tracking moving objects for a naval unmanned aircraft system (UAS) landing on an aircraft carrier. The frame difference algorithm follows a simple principle to achieve real-time tracking, whereas Faster Region-Convolutional Neural Network (R-CNN) performs highly precise detection and tracking characteristics. We thus combine Faster R-CNN with the fr...

The detection of moving objects is the hot topic of computer vision researches now. On this subject, we propose a novel method to detect moving object in surveillance videos based on the visual features of the frog eyes. This method is divided into three steps; first, to extract the moving regions using Frame Difference and Spatial-temporal entropy methods; second, to establish the edge map by ...

How do spatially disjoint and ambiguous local motion signals in multiple directions generate coherent and unambiguous representations of object motion? Various motion percepts, starting with those of Duncker (Induced motion, 1929/1938) and Johansson (Configurations in event perception, 1950), obey a rule of vector decomposition, in which global motion appears to be subtracted from the true moti...