The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Filter tracking models based on SURF (Speed-Up Robust Features) points are presents in this paper. They are used for robots to track the objects. The SURF points in the frames are matched by RANSAC (RANdom SAmple Consistent) with objective template in tracking process. It presents several filter tracking models, like SURF+PF (Particle Filter), SURF+KF (Kalman Filter), SURF+EKF (Extended Kalman Filter)...
A tracking algorithm using Kalman Filter (KF) based on Speed-up Robust Features (SURF) is proposed. In the tracking process, the SURF features in the frames are matched by RANdom SAmple Consensus (RANSAC) with objective template, and the Fuzzy C-Means (FCM) clustering analysis is used to eliminate the mismatching cases. Then the precise position of the object is determined, and the KF prediction of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.