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.
Detecting abnormal events in crowded scenes remains challenging due to the diversity of events defined by various applications. Among the many application situations, motion analysis for event representation is suited for crowded scenes. In this paper, we propose a novel abnormal event detection method via likelihood estimation of dynamic-texture motion representation, called Structural Multi-scale...
Interference cancelation (IC) has been well studied in literature as a potential capacity approaching scheme for uplink code-division multiple-access (CDMA) systems. With the advance of silicon technology, it is becoming implementationally feasible. In this paper, we study a soft IC algorithm which could be iteratively concatenated with Turbo decoding. The algorithm only relies on a conventional single...
Video-based information collection has become an important research direction, and moving object tracking technique plays a key role nowadays. The classic corner tracking algorithm doesnpsilat meet the real-time requirement, and loses the object mostly due to occlusions, the change of geometrical scale or/and some similar objects approaching to the object. To solve the problems, a new algorithm based...
This paper proposes a novel approach to stitch videos fast and with high quality. In general, scene depth is frequently varying for dynamic video content. For example, moving foreground objects will move closely or far from a camera. The scene depth will be changing according to changed scene content. Therefore, accurate projection transform estimation corresponding to current scene depth is required...
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.