Added: 2 years ago
From: 0penCV
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  • With the last release it runs until 60 fps with a single core centrino 1.6Ghz and the false positives are in reality lacking. Enabling the pose estimation the performance decrease to 25 fps.

  • the number of false positives is significant but this is due to the characteristic of the detectors (i did not specifically re-trained the classifier). Viola and Jones classifiers are known to trade-off efficiency for accuracy.

    I've changed a lot of original source code so i have no longer cvHaarDetectObjects() method like OpenCV. Just the starting detections are with OpenCV cvHaarDetectObjects method.

  • You get much too much false positives (the knees!) from the Viola/Jones-Detector. How does your argument list for cvHaarDetectObjects() look like?

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