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Background subtraction, and tracking are the first processing steps in video surveillance applications. Prior work on background modeling has mainly focused on model representation for each pixel, further more, it also need longer training sequences in which no much more moving objects. Here, we introduce a new background modeling approach based on R-PCA for the background subtraction, which can obtain...
For enlarging the surveillance area, more and more visual surveillance systems exploit Pan Tilt Zoom (PTZ) camera. This paper proposes a framework of surveillance system which uses a single PTZ camera. The framework is divided into two phases: offline phase and inline phase. During the offline phase, camera parameters for every image are computed using SIFT features and bundle adjustment algorithm,...
Zoom tracking plays an important role in camera tracking. It is always a challenge for camera calibration when the focal length becomes long, for the principal plane would move and rotate inevitably in the process of zoom. To deal with this problem, a new method is presented in this paper, in which we does not lay emphasis on the camera calibration itself, but focuses on the compensation to the extrinsic...
An interactive scene annotation tool for video surveillance is presented in this paper. The annotation process is divided into three stages. (1) camera rough calibration;(2) calibration refinement; (3) major surfaces annotation. Inputs are then rendered in a 3D environment, which again help users check calibration accuracy and annotation correctness. Experiments show that this tool is easy to use...
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