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.
 Please cite a subset of the above papers if you end up using the code.
 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).

Generated by m2html © 2003