A rough fuzzy neural network approach for robust face detection and tracking
Alfredo Petrosino; Giuseppe Salvi University “Parthenope”, Naples, Italy
Abstract
Automatic detection and tracking of human faces in video sequences are considered fundamental in many applications, such as face recognition, video surveillance, and human-computer interface. In this study, we propose a technique for real-time robust facial tracking in human facial videos based on a new algorithm for face detection in color images. The proposed face-detection algorithm extracts skin color regions in the CEILab color space, through the use of a specialized unsupervised neural network. A correlation-based method is then applied for the detection of human faces ...
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