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.
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.
0penCV 2 years ago
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.
0penCV 2 years ago
You get much too much false positives (the knees!) from the Viola/Jones-Detector. How does your argument list for cvHaarDetectObjects() look like?
piechulla1966 2 years ago