![]() Such guidelines and strategies are scattered in the literature of various disciplines including image processing, computer engineering, and software engineering, and thus have not previously appeared in one place. This book presents an overview of the guidelines and strategies for transitioning an image or video processing algorithm from a research environment into a real-time constrained environment. Through experiments, we confirmed that HeadFinder works robustly against environment change and works well in real-time by a simple hardware. Performances of HeadFinder in indoor and outdoor environment, are examined. The size of predicted domain is proportional to the reliability of the head model, that is, the number of times of pursuit successes by present. In order to raise the efficiency of tracking, we predict the domain where head will move. After the position and size (radius) of the detected circle are registered as a head model, HeadFinder switches to tracking phase. Next, for the sake of circle detection, we use Hough transform which is known as a robust shape detection method. First, we detect outline of moving people in difference images between two consecutive video frames. Since what the moving circle is a head is almost always true in our life space, we utilized it to detect heads. For the sake of effective detection we pay attention to motion and shape of a head, both of which are robust features to noise in video images. HeadFinder is a robust system which detects heads of people appeared in video images and track them. These uses aren't differentiated.In this paper, a real-time head detection and tracking system called HeadFinder is proposed. * to be any of the subject, the predicate, or one of two referential entities * circumstances, several analyses are possible, with either the overt NP able * (Such nominal copula sentences are complex: arguably, depending on the * "Who is the president?" is analyzed with "the president" as nsubj and "who" * with nominal complements do not receive this treatment. * complements and declarative nominal complements. * This analysis is used for questions and declaratives for adjective * complement of the copula is taken as the head. * By default the SemanticHeadFinder uses a treatment of copula where the * head is made "game" not "Which" as in common PTB head rules. * categories: e.g., in question phrases, like "Which Brazilian game", the And it makes similar themed changes to other * This version chooses the semantic head verb rather than the verb form * the dependency structure in English Stanford Dependencies (SD). * This use of mainly content words as heads is used for determining * Implements a 'semantic head' variant of the the English HeadFinder // For more information, bug reports, fixes, contact: // Christopher Manning // Dept of Computer Science, Gates 1A // Stanford CA 94305-9010 // USA // // package // You should have received a copy of the GNU General Public License // along with this program if not, write to the Free Software Foundation, // Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. See the // GNU General Public License for more details. // This program is distributed in the hope that it will be useful, // but WITHOUT ANY WARRANTY without even the implied warranty of // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. // This program is free software you can redistribute it and/or // modify it under the terms of the GNU General Public License // as published by the Free Software Foundation either version 2 // of the License, or (at your option) any later version. Copyright (c) 2005 - 2014 The Board of Trustees of // The Leland Stanford Junior University. Source // SemanticHeadFinder - An implementation of content-word heads. ![]() IntroductionHere is the source code for .SemanticHeadFinder.java
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