eavise - ACF detector framework (Piotr Dollar)

Apply the following steps for installing the Piotr Dollar Matlab toolbox containing the ACF detection framework

Install a MATLAB environment on your system
Prepare a folder structure (example given)

/home/user/Frameworks/Dollar/
.../data-INRIA/ --> folder for the INRIA dataset
....../annotations/ --> folder for the INRIA annotations
....../videos/ --> folder for the INRIA set00-01 folders
.../data-USA/ --> folder for the CALTECH dataset
....../annotations/ --> folder for the CALTECH annotations
....../videos/ --> folder for the CALTECH set00-10 folders
.../toolbox/

Download the toolbox from http://vision.ucsd.edu/~pdollar/toolbox/doc/and unzip in the created folder
Prepare the data environment for a test setup
- Download the CALTECT database at http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/datasets/USA/
- Download the INRIA database at http://pascal.inrialpes.fr/data/human/
Download the Matlab evaluation/labeling code version 3.2.1 from http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/code/code3.2.1.zipand extract to the Dollar folder
Add the complete toolbox emvironment to the path of MATLAB by applying

addpath(genpath('/home/spu/Frameworks/Dollar/'));
savepath;

Your folder structure should now look like this

folder_top

Go to your Matlab interface and try both demo programs

acfDemoCal.m
acfDemoInria.m