and other face recognition programs can be used for both verification and identification of criminals. Barcelona has a network of smart traffic lights. After an emergency is reported‚ the approximate route is entered‚ setting all the lights to green and a mix of GPS and traffic
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From YouTube to Facebook; from Xbox 360 to Nintendo Wii; from Intel-powered computers to multitasking mini netbooks; these evolutionary medium of Information and Communication Technology (ICT) have become essential part of our lives that not using one of them is so irrelevant in our society. Indeed‚ the rapid advancement of technology propels the social welfare‚ for better or worse. Undeniably‚ I agree that ICT cause today’s many soial ills like cyber-bullying and privacy intrusion. However‚ I am
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A comparative analysis of the two articles‚ If Looks Could Kill by the Economist and Trading Liberty for Illusion by Wendy Kaminer is about the emerging security technology that uses a surveillance system that is able to identify the intentions of criminals before they carry out their criminal activities. In the Economist’s article‚ the writer remains optimistic that the surveillance system is going to serve the purpose for which it was set without compromising the innocence of the citizens. On his
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3.01+681.327.12 http://neuroface.narod.ru ACCESS CONTROL BY FACE RECOGNITION USING NEURAL NETWORKS* Dmitry Bryliuk and Valery Starovoitov Institute of Engineering Cybernetics‚ Laboratory of Image Processing and Recognition Surganov str.‚ 6‚ 220012 Minsk‚ BELARUS E-mail: bdv78@mail.ru‚ valerys@newman.bas-net.by A Multilayer Perceptron Neural Network (NN) is considered for access control based on face image recognition. We studied robustness of NN classifiers with respect to the False Acceptance
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Project title * Pose-Invariant Face Recognition Abstract * Project motivation: To recognize pose-invariant face images. * Objectives: Research and implement algorithms to get a better recognition performance of variant poses. Background * Face recognition is very useful in some area. But even the same person would have variety of poses. Pose has become an important factor affecting face recognition. The key point is to get the face feature which is invariant along with the changing
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Tutorial 1: Systems Documentation Techniques Question 1 1. Prepare flowcharting segments for each of the following operations: a) processing transactions stored on magnetic tape to update a master file stored on magnetic tape b) processing transactions stored on magnetic tape to update a database stored on a magnetic disk c) converting source documents to magnetic tape using a computer-based optical character reader (OCR) d) processing OCR documents online to update
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Presentation a. One of the presentations was the Face Recognition System. This is where you will take a picture and your picture will be recognizing if it’s on the database or not. The system had two face algorithms which are the Eigenface and the Fisherface. They said that when you have a lower score the more likely that your picture will be recognized. b. I have learned that there’s an algorithm and calculation on face recognition which are the Identification rate‚ false alarm rate‚ verification
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Big brothers eyes - by William D. Eggers and Eve Tushnet On 2 May 2002‚ The New York Post published an article about the use of surveillance cameras in public places written by William D. Eggers and Eve Tushnet of the Manhattan Institute‚ a high-profile right-wing think-tank. Entitled "Big Brother’s Eyes" and printed on The Post’s opinion page‚ William (Bill) Eggers was born in 1967 and is an American writer and government consultant. Eggers was born in New York City‚ grew up in the Chicago‚ Illinois
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Diploma thesis Face detection with Waldboost algorithm Zdenˇk K´lal e a zdenek.kalal@gmail.com January 18‚ 2007 Acknowledgement I would like to thank my supervisor‚ doc. Dr. Ing. Jiˇ´ Matas‚ for the guidance rı and advice he has provided throughout the research. I would also like to thank Jan ˇ Sochman for helping me especially in the technical issues. Abstract Face detection algorithms based on the work of Viola and Jones [11] train the classifier by processing training examples of face
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References: [1] D. Koller‚ K. Daniilidis‚ H. H. Nagel‚ Model-based object tracking in monocular sequences of road traffic scenes. International Journal of Computer Vision‚ Vol. 10‚ 1993‚ pp. 257-281. [2] Yuri A. Ivanov and Aaron F. Bobick‚ Recognition of Multi-Agent Interaction in Video Surveillance‚ {ICCV} (1)‚ pp. 169-176‚ 1999. [3] Drew Ostheimer‚ Sebastien Lemay‚ Mohammed Ghazal‚ Dennis Mayisela‚ Aishy Amer‚ Pierre F. Dagba:” A Modular Distributed Video Surveillance System Over IP”‚ 1-4244-0038-4
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