Real-Time Vision-Based Gesture Recognition Using Haar-like Features. By: Qing Chen, Nicolas D. Georganas and Emil M. Petriu IMTC 2007, Warsaw, Poland, May 1-3, 2007. Outline. 1. Introduction 2. Two-level Approach 3. Posture Recognition 4. Gesture Recognition 5. Conclusions.
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By: Qing Chen, Nicolas D. Georganas and Emil M. Petriu
IMTC 2007, Warsaw, Poland, May 1-3, 2007
Viola & Jones Algorithm
f(x)=Sumblack rectangle (pixel gray level) – Sumwhite rectangle (pixel gray level)
Figure 1: The set of basic Haar-like features.
Figure 2: The set of extended Haar-like features.
P (x, y)
The rectangle Haar-like features can be computed rapidly using “integral image”.
Integral image at location of x, y contains the sum of the pixel values above and left of x, y, inclusive:
The sum of pixel values within “D” can be computed by : P1 +P4-P2 -P33. Posture Recognition (cont’d)
3. Posture Recognition (cont’d) Features