Research On Techniques In Video Surveillance

Abandoned object detection, removed object detection and trip-line detection are important techniques in video surveillance. Based on the summary of present research situation, novel methods of abandoned object detection, removed object detection and trip-line detection are proposed and testified in this paper. The main works are as follows:For abandoned object detection and removed object detection, the statistical model is used to establish short-term background and long-term background. Background differencing and coterminous frame differencing are combined to obtain the moving object, and only the non-moving region of short-term background is updated in real-time. The object region is detected by differencing the short-term background and long-term background each 10 frames. When the changing region is detected, edge determinant method and Bhattacharya coefficient determinant method are combined to distinguish whether the changing region is abandoned object or removed object. A surveillance system composed of abandoned object detection and removed object detection is designed and developed in this paper. Different backgrounds are set up by selecting different scenes and artificially interposing jam, where various boxes and packages are selected as abandoned or removed objects. The given abandoned object detection and removed object detection method is verified in several areas. Finally, the experiments testify that the proposed method can detect abandoned and removed objects accurately.For trip-line detection,multi-Gauss Model is used to model background. Moving objects are detected by background differencing. When foreground object is detected on trip-lines, for double-direction trip-line, system directly alerts while for single-direction trip-line, the moving direction of the object must be analyzed at first. If the moving direction of the object matches forbidden passing rule, system alerts. A surveillance system of trip-line detection is designed and developed. Different backgrounds are set up by selecting different scenes different trip-lines are defined on the scenes, the given trip-line detection method is verified in several areas. The experiments prove the accuracy of the proposed method for trip-line detection.