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).