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).
February 14, 2017 (1 year ago)
February 14, 2017 at 06:29:22 CET
Project page / code:
P. Dollar, R. Appel, S. Belongie, P. Perona. Fast Feature Pyramids for Object Detection. In TPAMI, 2014.