background and aims. in periapical radiographic technique, the changes will be visible only after considerable deposition or resorption while digital subtraction technique visualizes slight density changes. this study was aimed to compare visualization of density changes in conventional periapical radiographs and digital subtraction technique with or without image enhancement. materials and met...

In recent years, video surveillance systems for the purpose of security have been developed rapidly. More and more researches try to develop intelligent video surveillance systems to replace the traditional passive video surveillance systems (Hu et al., 2004) and (Jacobs & Pless, 2008). The intelligent video surveillance system can detect moving objects in the initial stage and subsequently pro...

In this paper we use HST/WFC3 observations of 6 galaxies from the DYNAMO survey, combined with stellar population modelling SED, to determine masses clumps. The sample has been shown have properties similar $z\approx1.5$ turbulent, clumpy disks. clump offer a useful comparison for studies $z>1$ in that same properties, yet observational biases are significantly different. Using can more easily ...

This paper introduces a two-point topological derivative for elasticity and cellular developmental method layout optimization of structures. The measures the change on functional due to addition thin ligament between parts domain. It contrasts with existing single-point derivatives that measure subtraction material. Based derivative, is presented, which builds structure in sequence divisions dy...

Automated surveillance has long been an application goal of computer vision. An integral part of such surveillance systems is concerned with accurately segmenting foreground objects from the static background in the videos. In this thesis we introduce a novel system for background subtraction, which takes a different approach than the conventional background subtraction systems. We make the ass...

Object tracking can be defined as the process of detecting an object of interest from a video scene and keeping track of its motion, orientation, occlusion etc. in order to extract useful information. It is indeed a challenging problem and it’s an important task. Many researchers are getting attracted in the field of computer vision, specifically the field of object tracking in video surveillan...

An efficient scheme for real-time color-based tracking of non-rigid objects is proposed. The central computational module is based on mean shift iterations. It computes the most probable target position in the current frame, while the prediction of the next target location is computed using a Kalman filter. The dissimilarity between the target model and the target candidates is expressed by a m...

Identifying moving objects in a video sequence, which is produced by a static camera, is a fundamental and critical task in many computer-vision applications. A common approach performs background subtraction, which identifies moving objects as the portion of a video frame that differs significantly from a background model. A good background subtraction algorithm has to be robust to changes in ...

Visual surveillance systems start with motion detection. Detecting a moving object is always a greater challenge from a real time system. Tracking a moving object adds further the complexity. In this paper, we propose three significant methods. A Background Subtraction method (BS), Storage Reduction (SR), and Mobile Alert (MA).Our proposed BS modelling defines to identify the foreground objects...