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.
Expert system has been widely used since it was created as early as 1970s. One of the challenges that expert systems faced is to deal with uncertain information. Even though there are many uncertainty management approaches which can deal with problems of different types, the term uncertain information is not clearly defined. This paper reviews some of the uncertainty management in order to highlight,...
This study explores 4 different interaction methods of tele-operating a single unmanned ground vehicle (UGV) on a small screen interface. An experiment involving 20 participants carrying out a navigational task was conducted. Performance measures such as task completion time, number of errors made and workload ratings were considered and analyzed.
The morphable modeling method of reconstructing 3D human face is based on a single given image, and the model fitting is ambiguous owing to the lack of depth information and geometry constraints between images. In this paper, we introduce a new face reconstruction method from multiple views based on the morphable model. The morphable face model is matched with multiple face images from different views...
Human action recognition is a challenging problem due to the large changes of human appearance in the cases of partial occlusions, non-rigid deformations and high irregularities. It is difficult to collect a large set of training samples with the hope of covering all possible variations of an action. In this paper, we propose an online recognition method, namely Incremental Discriminant-Analysis of...
In this letter, we present a reversible data hiding scheme based on histogram modification. We exploit a binary tree structure to solve the problem of communicating pairs of peak points. Distribution of pixel differences is used to achieve large hiding capacity while keeping the distortion low. We also adopt a histogram shifting technique to prevent overflow and underflow. Performance comparisons...
A hierarchical learning based approach for human action recognition is proposed in this paper. It consists of hierarchical nonlinear dimensionality reduction based feature extraction and cascade discriminative model based action modeling. Human actions are inferred from human body joint motions and human bodies are decomposed into several physiological body parts according to inherent hierarchy (e...
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.