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.
Compressive Sensing can be implemented to protect the privacy of information, this property could be also used to authenticate Compressive Sensing based imaging measurements, since attacker without knowledge about the measurement matrix/key cannot modify the content in a meaningful way but just results noise. When the received measurements were proven to be contently acceptable, the adversary has...
In this work, we present a new multiple channel feature called Deep Compact Channel Feature (DCCF), which generates a compact, discriminative feature representation by a pre-trained deep encoder-decoder. With the combination of DCCF and boosted decision trees, a new object detector is proposed which achieved outstanding performance on standard pedestrian dataset INRIA and Caltech. Furthermore, a large...
The aim of this work is to propose a fusion procedure based on lidar and camera to solve the pedestrian detection problem in autonomous driving. Current pedestrian detection algorithms have focused on improving the discriminability of 2D features that capture the pedestrian appearance, and on using various classifier architectures. However, less focus on exploiting the 3D structure of object has limited...
A novel geometrically invariant watermarking scheme based on nonlinear anisotropic diffusion (NAD) detector of the feature points in images is proposed. The NAD feature points detector performs feature points detecting more accurately than Harris detector in an image, which correspondingly can definitely enhance the robustness and the imperceptibility of the watermarking scheme. According to the feature...
Fires continue to occur in modern architecture, the people's lives and property has brought huge losses. In order to reduce the fire in the building automatic fire alarm equipment placed into a necessity. This paper discusses the automatic fire alarm system, the composition and working principle. The system will be collected through the fire alarm detector to the fire, fault and other signals sent...
This paper develops a cascade of linear SVM classifiers for fast object detection. The learning problem of every node in the cascade structure is described as a new quadratic programming problem in the frame of SVM, which makes every linear classifier achieve very high detection rate but only moderate false positive rate. The real experiment shows that this method enjoys good generalization capacity...
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.