December 2014
Intermediate to advanced
640 pages
19h 7m
English
Alfredo Petrosino; Giuseppe Salvi University “Parthenope”, Naples, Italy
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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