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- W108804543 abstract "Much interest has been shown in the field of biometric surveillance over the past decade.Face Recognition is a biometric recognition system that has gained much attention due toits low intrusiveness and easy availability of input data. To humans, face recognition is anatural ability that is an easy task. However, computerized face recognition is oftencomplex and inaccurate. Several good techniques such as template matching, graphmatching and eigenfaces have been developed by researchers to accomplish this task tovarying degrees of success.In this dissertation, the eigenface approach is combined with neural networks to performface recognition. Face images are first projected into a feature space where eigenvectorsare extracted. The neural network performs identification and is used to train thecomputer to recognize faces.A number of very good approaches to face recognition are already available. Most ofthem work well in constrained environments. Here the development of a real time face recognition system that should work well in an unconstrained environment is studied. Atracking system is developed to work together with the face recognition algorithm. Amethod using pixel difference is used to detect movements in the camera's view. A pantiltsystem, using stepper motors is used to enable horizontal and vertical movements.The face recognition algorithm is found to be working well with a recognition rate ofaround 95%. Eigenface method combined with neural networks displays goodperformance in terms of accuracy and the ability for learning and generalization. Thetracking system works well for objects traveling speeds below 5mIs and at distances frombetween 0.5m to 2m from the camera. Several improvements are suggested to improvethe tracking system performance. An overview of some leading tracking and facerecognition systems and scope of future work in this area is discussed." @default.
- W108804543 created "2016-06-24" @default.
- W108804543 creator A5080389336 @default.
- W108804543 date "2005-08-01" @default.
- W108804543 modified "2023-09-23" @default.
- W108804543 title "Real Time Tracking and Face Recognition Using Web Camera" @default.
- W108804543 hasPublicationYear "2005" @default.
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