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This paper proposes a real-time face detection and tracking method using principal component analysis (PCA) and neural network (NN). To improve the accuracy ...
This paper proposes a real-time face detection and tracking method using principal component analysis (PCA) and neural network (NN).
This paper proposes a real-time face detection and tracking method using principal component analysis (PCA) and neural network (NN).
Aug 21, 2002 · This paper proposes a real-time face detection and tracking method using principal component analysis (PCA) and neural network (NN).
A real-time system for recognizing faces using mobile device or webcam was implemented and achieved high recognition rates. Face Recognition is one of the ...
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Sep 20, 2016 · Principal Component Analysis (PCA) is efficient and used for feature extraction and dimension reduction. Back Propagation Neural Network (BPNN) ...
Dec 14, 2023 · Develop a real time people tracking and recognition using python and deep learning techniques.
Sep 15, 2016 · REAL-TIME FACE DETECTION AND RECOGNITION USING. PRINCIPAL COMPONENT ANALYSIS (PCA) – BACK. PROPAGATION NEURAL NETWORK (BPNN) AND RADIAL. BASIS ...
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This paper provides a software framework for PCA-based face recognition aimed at assisting software developers to customize their applications efficiently.
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This thesis describes in depth how the identification of a real time face can be order to create a safety alert framework for the workplace, the machine ...