# Contents

## PURPOSE

DETECTOR

## SYNOPSIS

This is a script file.

## DESCRIPTION

     DETECTOR
     See also

     Fast detector code is based on the papers:
      [1] P. Dollár, Z. Tu, P. Perona and S. Belongie
       "Integral Channel Features", BMVC 2009.
      [2] P. Dollár, S. Belongie and P. Perona
       "The Fastest Pedestrian Detector in the West," BMVC 2010.
      [3] P. Dollár, R. Appel and W. Kienzle
       "Crosstalk Cascades for Frame-Rate Pedestrian Detection," ECCV 2012.
      [4] P. Dollár, R. Appel, S. Belongie and P. Perona
       "Fast Feature Pyramids for Object Detection", PAMI 2014.
     Please cite a subset of the above papers if you end up using the code.
     The PAMI 2014 paper has the most thorough and up to date descriptions.
     Code written and maintained by Piotr Dollar and Ron Appel.

     Aggregate channel features object detector:
       acfDemoCal   - Demo for aggregate channel features object detector on Caltech dataset.
       acfDemoInria - Demo for aggregate channel features object detector on Inria dataset.
       acfDetect    - Run aggregate channel features object detector on given image(s).
       acfModify    - Modify aggregate channel features object detector.
       acfTest      - Test aggregate channel features object detector given ground truth.
       acfTrain     - Train aggregate channel features object detector.

     Object bounding box utilities and labeling tools:
       bbApply      - Functions for manipulating bounding boxes (bb).
       bbGt         - Bounding box (bb) annotations struct, evaluation and sampling routines.
       bbLabeler    - Bounding box or ellipse labeler for static images.
       bbNms        - Bounding box (bb) non-maximal suppression (nms).