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.
Feature learning plays a crucial role in the successful human action recognition. There has been a number of approaches extracting action features from depth information and 3D skeletal data. However, either the skeleton information or the depth map is not accurate for feature learning unless complex descriptors are carefully designed and embedded. In this paper, we first propose a data sparsification...
In order to decrease the cross-validation time and improve computation efficiency, this paper presents a method to reduce the feature vector dimension of Liquid Drop Fingerprint (LDF) by using factor analysis and principal component extraction. Waveform analysis is one of the best in many feature extraction methods. It can grasp the main features of LDF, but the feature vector reaches up to 10 dimensions...
We study the problem of human activity recognition from RGB-D sensors when the skeletons are not available. The skeleton tracking in Kinect SDK works well when the human subject is facing the camera and there are no occlusions. In surveillance or senior home monitoring scenarios, the camera is usually mounted higher than human subjects and there may be occlusions. Consequently, the skeleton tracking...
In recent years, personal health management has been interested to researchers and healthcare practitioners. Recording and analyzing physiological variations in ordinary life could be especially useful to manage health problems and to care individuals. It is widely pointed out that various vital signs are important indicators used to evaluate the wellness of physical bodies. In this study, an Intelligent-Mamdani...
According to the characters of the menology and combining with the advantages of two matching methods, a new method of feature-constrained area matching is proposed. In the preprocessing part, the original images are processed by histogram equalization algorithm in order to increase the contrast, enhance the texture character and satisfy the needs of feature-based matching. In the feature-based matching...
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.