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.
The parameter estimation of a wide-sense auto-regressive moving-average (ARMA) model, which is widely applied into a variety of fields, is an extremely important research subject. Most research is conducted with the known driving environment noise or assuming that the driving noise consists unknown variance. Actually the driving noise is really complex in reality. Until now, less attention on parameter...
The wide-sense auto-regressive moving-average (ARMA) model is widely applied into varieties of fields. The unknown bounded parameter estimation of an ARMA model is an extremely vital research subject. Up to recent, most research is conducted with the known disturbing environment noise or the model of the known noise with the unknown variance. Actually the disturbing noise in the modern control system...
To deal with the poor stability of tracking infrared target by using the gray-level features in traditional methods, a novel method is provided for tracking target in infrared based on color image fusion. Firstly, This method uses the color transfer technology to achieve the color fusion image for the infrared target. On the basis of the color image, the color histogram is established by kernel function...
Video traffic surveillance is of high interest in the field of intelligent transportation systems and the moving vehicle tracking is an essential technique. Particle filter approximate the optimal Bayesian solution for vehicle tracking as a nonlinear or non-Gaussian system. In this paper a vehicle tracking method based on PF is presented, which combines gray and contour feature particles using fusion...
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.