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.
To decrease false alarm, a detection algorithm based on aspect invariant characteristics of sub-aperture images was proposed. Some aspect invariant characteristics features could be extracted based on a double-hump model and sent to classifier and the result was satisfied.
Facial expression recognition is necessary for designing any human-machine interfaces. A novel facial expression recognition method based on the Wavelet energy feature and neural network ensemble classifier is proposed in this paper. And six basic expressions - anger, disgust, surprise, happiness, fear and sadness are analyzed. Firstly, wavelet transform is used for static facial expression images...
As a new technology of biometrics, gait recognition has recently gained more and more interests from researchers. Gait recognition aimed essentially to recognize person by automatically extracting movement characteristic of walking person in the video. Firstly, this paper introduces gait characteristics and its research background. Secondly, general process of gait recognition method is briefly described...
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.