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.
A human tracking system based on mobile agent technologies has been proposed for achieving automatic human tracking function. In this system, a target person is tracked automatically by one mobile agent moving among sensors in which a person is detected. The current system utilizes an algorithm to predict which sensor detects the target person. However, in order to keep tracking without losing sight...
We propose a novel method for extracting features from images of people using co-occurrence attributes, which are then used for person re-identification. Existing methods extract features based on simple attributes such as gender, age, hair style, or clothing. Our method instead extracts more informative features using co-occurrence attributes, which are combinations of physical and adhered human...
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.