The detector portion of this toolbox implements the Aggregate Channel
Features (ACF) object detection code. The ACF detector is a fast and
effective sliding window detector (30 fps on a single core). It is an
evolution of the Viola & Jones (VJ) detector but with an ~1000 fold
decrease in false positives (at the same detection rate). ACF is best
suited for quasi-rigid object detection (e.g. faces, pedestrians, cars).
The detection code was written by Piotr Dollar with contributions by Ron
Appel and Woonhyun Nam (with bug reports/suggestions from many others).
P. Dollar, R. Appel, S. Belongie, P. Perona. Fast Feature Pyramids for Object Detection. In TPAMI, 2014.
February 14, 2017 (3 years ago)
February 14, 2017 at 06:29:22 CET
Project page / code: