Abstract: This paper demonstrate a technique related to video surveillance system improving the Future security systems. The main objective of this paper is to increase efficiency of moving object detection and tracking using 3D model. The method used in this paper is detection in video surveillance system then tracking the object in the scene. Detection of moving object subtly/ accurately is a...

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...

Object detection refers to identifying a location where an object can be present. It also includes registering components of a particular object class at various levels of detail. For example, finding the faces in an image, finding the eyes and mouths of faces. One could require a precise outline of the object in the image or detection of well-defined landmarks on the object. Object Detection a...

Automated video object recognition is a topic of emerging importance in both defense and civilian applications. This work describes an accurate and low-power neuromorphic architecture and system for real-time automated video object recognition. Our system, Neuormorphic Visual Understanding of Scenes (NEOVUS), is inspired by computational neuroscience models of feed-forward object detection and ...

Video content analysis is essential for efficient and intelligent utilizations of vast multimedia databases over the Internet. In video sequences, object-based extraction techniques are important for content-based video processing in many applications. In this paper, a novel technique is developed to extract objects from video sequences based on spatiotemporal independent component analysis (st...

Object Tracking is an important task in video processing because of its various applications like visual surveillance, human activity monitoring and recognition, traffic flow management etc. Multiple object detection and tracking in outdoor environment is a challenging task because of the problems raised by poor lighting conditions, occlusion and clutter. This paper proposes a noble technique f...

Moving object extraction is a critical stage in a measurable 2D and 3D photogrammetric surveillance systems. In order to keep the frame rate of the live video, the chosen automatic method should be fast enough. Moreover, it is important to extract the moving objects precisely to be able to increase the accuracy of the measurements. Prior to the boundary extraction stage, the moving objects must...

An algorithm of surveillance video synopsis is presented in this paper. At first, the detection method of moving object for surveillance video is proposed. Then the ROI (Region of Interest) of moving object is extracted and a noninteractive matting algorithm of moving object based on GrabCut is presented. These matting moving objects are placed without overlapping in a background image, so a fr...