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.
In this paper, we will present a novel algorithm for detecting moving objects from relatively dynamic background in particular video sequences. To achieve our goal, we introduced a new conception called "feature super pixel". As is well known, by tracking feature points we can easily tell whether a feature point belongs to moving object or not. However, it's more difficult to obtain an optimal...
In this paper, we examine the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this motion segmentation problem can be cast as the problem of segmenting samples drawn from a union of linear subspaces. We pose this problem as a rank minimization problem, where the goal is to decompose the corrupted data matrix as...
This paper presents the use of Visual C++ integrated with OpenCV library as a framework for video analysis applications. Conventionally, applications are developed and control using textual-based Win32 console. In this work, however, the library can be applied in Windows form that helps users to visually control algorithms implemented in applications. The framework, written in OOP style, tailors the...
We discuss the problem of detecting dominant motions in dense crowds, a challenging and societally important problem. First, we survey the general literature of computer vision algorithms that deal with crowds of people, including model- and feature-based approaches to segmentation and tracking as well as algorithms that analyze general motion trends. Second, we present a system for automatically...
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.