Li Na

A New Thresholding Method Applied to Motion Detection

The thresholding method is a fundamental part for motion detection and other advanced applications,so this step is very important, it must base on a reliable, effective method in order to access to the robustness of the computer intelligent video surveillance system. A new thresholding method which is simple and effective is proposed in the article. Firstly, we propose an imitating uni-Gaussian model thresholding method for motion detection, aiming at the disadvantages of this algorithm existed in the experiment, a predecessors research is introduced, and then the second mixed thresholding method based on complementary advantages of the two aforesaid methods is proposed. Experiment results show that our final method can obtain clear and complete information of the moving object, and eliminate noise fundamentally for the scene at the same time. Motion detection with this thresholding method is accurate and real-time.

A robust digital video watermark algorithm based on DCT domain

In this paper, a highly robust digital video watermarking technique is given. First of all, the watermark information is encrypted by Arnord transform. Then it is embedded in DCT domain by high-frequency coefficients correlation algorithm in RGB frames of source video file. The field tests indicate that the video file with the watermark information is transparent, and strong anti-aggressive.