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.
Now-a-days image alignment is one of the most widely used techniques in computer vision. Image alignment has many applications in fields as diverse as video surveillance, computer vision, medical imaging, and video coding. The estimation of an objects' motion is a key step in image alignment. In this paper, we will present a low-complexity algorithm for estimation of motion parameters. Most of the...
In this paper, a novel background model on spatio-temporal patches is introduced for video surveillance, especially for night outdoor scene, where extreme lighting conditions often cause troubles. The spatio-temporal patch, called brick, is presented to simultaneously capture spatio-temporal information in surveillance video. The set of bricks of a given background patch, under all possible lighting...
The classical Potts model is a powerful tool for image segmentation but the drawback of the model is its slow convergence. The main reason for this is that there exists a critical slowing down process at phase transitions. To overcome the drawback of the Potts model, an image segmentation method based on the ECU (energy based cluster update) algorithm according to the characteristics of image segmentation...
Current TV image enhancement can be improved if the image is analyzed, objects of interest are segmented, and each segment is processed with content-specific enhancement algorithms. In this paper we present an algorithm for segmenting grass areas in video sequences. The system employs multi-scale texture analysis and adaptive color and position models for computing a pixel-based soft segmentation...
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.