Face Detection by using Skin Color Model based on One Class Classifier
| Autor: | Rudra N. Hota, Saad J. Bedros, Vijendran Gopalan Venkoparao |
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| Rok vydání: | 2006 |
| Předmět: |
Contextual image classification
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition HSL and HSV Facial recognition system Support vector machine Object-class detection RGB color model Computer vision Artificial intelligence Face detection business Classifier (UML) ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | ICIT |
| Popis: | Human face detection plays an important role in real life application such as Face recognition, Human computer interface, Video surveillance and Face image database management. Automatic Face detection in such scenario is a challenging task. Here we propose to use skin color cue to detect face in a video sequence by modeling the skin color by an one class classifier named SVDD (Support Vector Data Descriptor). We apply the one class classifier for facial skin model on Various color transformations (YCrCb, HSV, Normalized RGB). We also examine SVDD on all the three Y, Cb and Cr and their combinations for the skin model as it is known that the non linear combination of the three gives better skin model and experiments on large set of data sets proves the robustness of the method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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