Web-Based Panoramic VR for a Resort
This study is to develop a web site incorporating a panoramic virtual reality (VR), sometimes called virtual environments (VE), for a hotel and this technology can ::: create a unique environment where the customer can stay anywhere in the world and explore via World Wide Web. This approach uses a web-based panoramic VR as a tool to a create a website for application in a real project. This project involves the development of a website as an aid to promote a new hotel in Pattani, Thailand, the C.S. Pattani Hotel (http://www.cspattani.com). This paper explores the practical and technical procedures such as photo capture, digital stitch, panoramic output and preview movie in the development of the panoramic model.
This paper presents a new scale and orientation adaptive object tracking system using Kalman filter in a video sequence. This object tracking is an important task in many vision applications. The main steps in video analysis are two: detection of interesting moving objects and tracking of such objects from frame to frame. We use an efficient local search scheme (based on expected likelihood kernel) to find the image region with a histogram most similar to the histogram of the tracked object. In this paper, we address the problem of scale adaptation. The proposed approach tracker with scale selection is compared with recent state-of-the-art algorithms. Experimental results have been presented to show the effectiveness of our proposed system.