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Motion detection is of paramount importance in video surveillance systems. In this paper, a novel algorithm is proposed to extract the exact boundaries of moving objects in video frames. Using the concepts of Cross-Correlation and Edge Detection, we combine two well-known motion detection methods to extract the moving regions more accurately. Also, we modify these two methods in terms of accuracy...
Motion detection plays an important role in Video Surveillance System. This paper analyzes the key technology and needs about it and gives a basic target. Based on analysis, a motion detection system is put forward and an implementation is given. Using DirectDraw technology, the system can fresh the display and give an alarm signal when motion is detected. After testing for a longtime, the software...
Video surveillance systems have become very popular these days. In households, enterprises and even cities the monitoring systems have been deployed to improve the sense of safety. The large number of video cameras require a new, smart approach to browsing and analyzing video streams. There is a lot of research on motion detection, face recognition or integration with external sensors. We notice the...
This paper proposes an obstacle detection system for the purpose of preventing accidents at level crossings. In order to avoid the limits of already proposed technologies, this system uses stereo cameras to detect and localize multiple targets at the level crossing. In a first step, a background subtraction module is performed using the Color Independent Component Analysis (CICA) technique which allows...
This paper describes an approach to moving objects detection in video stream with the usage of improved background subtraction and model updating methods as well as hierarchical data structure. The improved method of background model updating allows to change dynamically the speed of such updating depending on the average change of pixels' values. Applying of the modified algorithm of quadtree creation...
Motion segmentation is a very critical task in video surveillance system. In this paper, we propose a novel approach to detect moving objects in a complex background. Gaussian mixture model (GMM) is an effective way to extract moving objects from a video sequence. However, the conventional mixture Gaussian method suffers from false motion detection in complex backgrounds and slow convergence. This...
Motion detection surveillance technology came about as a relief for the generally time-consuming reviewing process that a normal video surveillance system offers. It has gained a lot of interests over the past few years. In this paper, we propose a motion detection surveillance system, consisting of its graphic user interface (GUI) and its method for motion detection, through the study and evaluation...
An integrated multimedia supported intelligent video surveillance system is proposed. The system is aimed to alleviate the disadvantages of the existing video-surveillance kits and provides advanced search, notification, visualization and alarming functionality through integration of artificial intelligence, motion detection and tracking technology, multimedia databases and Internet/cell phone connectivity...
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