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Vision Based Hand Gesture Interfaces for Wearable Computing and ...

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Chapter 4. <strong>H<strong>and</strong></strong>Vu: A Computer <strong>Vision</strong> System <strong>for</strong> <strong>H<strong>and</strong></strong> <strong>Interfaces</strong><br />

<strong>H<strong>and</strong></strong> Detection<br />

The initial stage of the vision system attempts detection of the h<strong>and</strong> in a<br />

particular posture. Since h<strong>and</strong>s are frequently over-exposed in comparison to<br />

the background, the vision system per<strong>for</strong>ms automatic exposure correction <strong>for</strong> a<br />

smaller area than the entire image (see Section 4.2.2). To facilitate this, the h<strong>and</strong><br />

is only detected in a rectangular region that can be specified by the interface<br />

designer. For our applications, we chose the central part of the com<strong>for</strong>t zone as<br />

discussed in Chapter 3 to function as the h<strong>and</strong> detection area. If the detection<br />

was not successful, vision processing <strong>for</strong> the current frame ends here. If the h<strong>and</strong><br />

was detected, the location of a 2D bounding box is sent to the tracking initializa-<br />

tion stage. More in<strong>for</strong>mation on how the detection is facilitated can be found in<br />

Chapter 5.<br />

Tracking initialization<br />

The observed h<strong>and</strong> color is then learned in a color histogram, given the bound-<br />

ing box location <strong>and</strong> a probability map that specifies the likelihood of pixels within<br />

that area to belong to the h<strong>and</strong>. This color is contrasted to a reference area of<br />

background image areas. Next, a “Flock of Features” is placed on what is believed<br />

to be the h<strong>and</strong>. (See Chapter 6 <strong>for</strong> tracking details.) No further processing is done<br />

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