Biblio

Augmented Reality (AR) is a technique which seamlessly integrate virtual 3D models into the image of the real scenario in real time. Using the QR code as the identification mark, an algorithm is proposed to extract the virtual straight line of QR code and to locate and track the camera based on the hybrid features, thus it avoids the possibility of failure when locating and tracking only by feature points. The experimental results show that the method of combining straight lines with feature points is better than that of using only straight lines or feature points. Further, an AR (Augmented Reality) system is developed.

Video1 surveillance has been applied to various industries and business, but the video surveillance is mainly to provide video capture and display services at current, and does not care about video content. In some applications, users want to be able to monitor the video content and implement automatic prompting and alarming functions. Therefore, this paper uses the hybrid Gaussian model (GMM) to achieve the separation of the foreground and the background of the video and the experiments validate the effectiveness of the algorithm.