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Face Detector Output & Original Image

Face Detector Output & Original Image. Module 1. Skin Color Model. Dynamic Background Modeler. Module 2. RF 1. RF 2. RF 3. RF 4. RF 5. Evidence Aggregator. Face. Non Face. Decision Confidence. * RF: Random Field Model. Face Detection Output.

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Face Detector Output & Original Image

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  1. Face Detector Output & Original Image Module 1 Skin Color Model Dynamic Background Modeler Module 2 RF 1 RF 2 RF 3 RF 4 RF 5 Evidence Aggregator Face Non Face Decision Confidence * RF: Random Field Model

  2. Face Detection Output Extra-region of extraction for background model

  3. Face Detection Output Face Detection Output Skin Mask Skin Mask False Detection True Detection C-4 C-3 C-1 C0 C1 C2 C0 C-2 C4 C3 Sample for Random Field learning R1 R2 R3 R4 R5 R6 R7 R8 R9 R10

  4. N3 N3 N1 N1 C-4 C-3 C-2 C0+ C4 C-1 C0- C2 C3 C1 N2 N2 N4 N4 N5 Pose 3 Pose 2 Pose 1

  5. Confidence 1 0.8 0.6 0.4 0.2 0 Log Likelihood LL LU

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