Aggregate Channel Features


Short name:

ACF

Benchmark:

Description:

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).

Hardware:

3GHz

Detector:

Public

Last submitted:

February 14, 2017 (1 year ago)

Published:

February 14, 2017 at 06:29:22 CET

Submissions:

4

Open source:

Yes

Project page / code:

Reference:

P. Dollar, R. Appel, S. Belongie, P. Perona. Fast Feature Pyramids for Object Detection. In TPAMI, 2014.

Benchmark performance:

APSpecifications
0.323GHz

Detailed performance:

Sequence AP
MOT17-010.4047
MOT17-030.2498
MOT17-060.2611
MOT17-070.6471
MOT17-080.6673
MOT17-120.3798
MOT17-140.3094

Raw data:


DPM
ACF