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PittsburghPatternRec uploaded a new video
(9 months ago)
PittPatt has developed state-of-the-art face tracking capabilities. This is a demonstration of a pan-tilt-zoom camera (upper-left) automatically tr...
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PittPatt has developed state-of-the-art face tracking capabilities. This is a demonstration of a pan-tilt-zoom camera (upper-left) automatically tracking a speaker in a presentation setting. This demonstrates the real-time capabilities of PittPatt's face tracker. See http://www.pittpatt.com for more information.
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PittsburghPatternRec uploaded a new video
(9 months ago)
PittPatt has developed state-of-the-art face tracking capabilities. This is a demonstration of visual attention applied to face tracking. Visual at...
more
PittPatt has developed state-of-the-art face tracking capabilities. This is a demonstration of visual attention applied to face tracking. Visual attention is meant as an extremely fast first-pass at determining which regions of a frame should be analyzed. The bright portions show which parts of each frame are searched for faces. The dark regions represent the parts that were skipped (and thus, represent computational savings). The skipped regions have their results propagated forward from the previous frame. The algorithm periodically searches the entire frame to ensure that small error does not accumulate over time. The frame rate has been intentionally slowed down. See http://www.pittpatt.com for more information.
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PittsburghPatternRec uploaded a new video
(9 months ago)
PittPatt has developed state-of-the-art face tracking capabilities. This is a demonstration of visual attention applied to face tracking. Visual at...
more
PittPatt has developed state-of-the-art face tracking capabilities. This is a demonstration of visual attention applied to face tracking. Visual attention is meant as an extremely fast first-pass at determining which regions of a frame should be analyzed. The bright portions show which parts of each frame are searched for faces. The dark regions represent the parts that were skipped (and thus, represent computational savings). The skipped regions have their results propagated forward from the previous frame. The algorithm periodically searches the entire frame to ensure that small error does not accumulate over time. The frame rate has been intentionally slowed down. See http://www.pittpatt.com for more information.
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PittsburghPatternRec uploaded a new video
(10 months ago)
PittPatt has developed state-of-the-art technology for automatically estimating the pose of a person's head with respect to the camera. As the pers...
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PittPatt has developed state-of-the-art technology for automatically estimating the pose of a person's head with respect to the camera. As the person on the left moves his head, the estimated head pose is illustrated on the right. See http://www.pittpatt.com for more information.
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PittsburghPatternRec uploaded a new video
(10 months ago)
PittPatt has developed state-of-the-art technology for automatically estimating the pose of a person's head with respect to the camera. This video ...
more
PittPatt has developed state-of-the-art technology for automatically estimating the pose of a person's head with respect to the camera. This video illustrates head-pose estimation for a scene with multiple people. See http://www.pittpatt.com for more information.
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