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Retrieve of the objects in the videos is a challenging and important work. Non-textual object information stored in videos is presented as grids of numbers in the image flames. Therefore, it is hard to retrieve the object in the videos with classical methods. In this paper, a robust color-feature model of the moving video objects is proposed by converting the RGB pixels to a color circle of hue. Furthermore,...
Gathering is an important incident of video surveillance, possibly reflecting the properties of mass disturbances. However, the incident is more difficult to detect than single-object incidents since it always has multiple detected objects. This paper proposes a plane geometry model to describe the position, trajectory and outline of the detected objects. Gathering incident is checked by a circle...
Goods monitoring is an important item of video surveillance, which is necessary to run automatically in practice. Two incidents of goods monitoring including goods stolen and broken are considered in this paper. Following the process of video surveillance, a texture-based method is proposed to deal with the incidents. The main idea is to divide the image of each objective blocks into several regions...
Automatic detection of vehicle incident by computer vision is one of the most important fields of video surveillance. In this paper, we propose a plane-geometry model to understand the vehicle behavior based on the visual information. The geometrical center of the vehicle-in-video object has different characters in different incidents. The vehicle objects of video are obtained by a background modeling...
Strand space inherits the merit of algebra method, which can prove the security of protocol more precisely for it overcomes the shortcoming of inconvenience. But because of shortage of primitives it can't describe some protocols as IKE, let alone verification. We made improvement to the original strand space by adding the description of hash function and some definitions with lemmas. So we can use...
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