OLT toolkit for Home windows: Wilson Suryajaya Leoputra, Curtin College, Australia, has modified OLT toolkit for home windows. You are able to download the origin code from his website.

Download the binaries or even the library version from the software for Linux came from here. Release date: 13 August, 2007. NOTE the code accepts only straight line SVM models.
They are OLD binaries. Users are required to make use of the code to compile binaries for his or her system. For information, these binaries are complied and tested on Ubuntu 7.04 using gcc 4.1. The library accepts exactly the same straight line SVM model files as dumped through the above binaries. Download the binaries from the software for Mac Leopard 10.5.x came from here. Release date: 05 Sept, 2008. NOTE the code accepts only straight line SVM models.
Binaries needed imlib2 library. You will get it from MacPort and imlib2 found in there. To download the source code, click the link. Release date: 16 March, 2008 (Uses improved m4 macros, removed GSL dependency, is determined by imlib2, boost 1.35+ and blitz. Compiling ought to be breeze now. Also added code for compiling a binary which could read binary annotations and dump it in PASCAL format.). NOTE the code accepts only straight line SVM models.

The study jobs are described within our CVPR 2005 paper Histograms of Oriented Gradients for Human Recognition and my PhD thesis Finding Individuals Images and Vidoes. Besides person recognition we’ve used exactly the same framework for other object recognition tasks. You’ll find the facts within my PhD thesis. For results on Pascal year 2005/2006 see Pascal Visual Object Classes Challenge. If you are looking at comparison in our method of other approaches see outcomes of the Pascal Challenge.

• The binaries and also the source provided above are members of an even bigger toolkit which i wrote within my PhD thesis. We’ve done extensive testing and also have evaluated other methods for object recognition, so some options or bits of the origin code might be redundant for object recognition task described in CVPR 2005 and also the Pascal Challenge. You might have fun with these options, but don’t send me mails if something cease working should you change options.
• The binary package incorporates a good example covering script along with a readme. Read readme, download our connected person recognition data set and run the provided example script.
• The code is supplied because it is with no support.
• Current documentation is way from sufficient. Please read our CVPR paper and my PhD thesis carefully. Hopefully concept of most options ought to be obvious.
• For reason for our experiments, we modified SVM light of Thorsten Joachims. You are able to download the modified form of SVM light came from here. We refer to this as version “SVM dense”. Note SVM dense is definitely an unsupported code. Don’t send any mail w.r.t. it neither to Thorsten Joachims nor to all of us.

THIS CODE Is Supplied “Out Of The BoxInch And With No EXPRESS OR IMPLIED WARRANTIES, INCLUDING, WITHOUT LIMITATION, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS For The PURPOSE. Use at the own risk.

License

Miracle traffic bot is shipped underneath the “CeCILL-B Free Software Application LICENSE AGREEMENT”, and susceptible to the next additional requirement (Article 14) regarding acknowledgements.

Any Licensee who publishes a scientific or technical Work (including although not restricted to conference and journal papers, technical reports, white-colored papers, software manuals, internet sites, and dental presentations of those) that is dependant on, or that utilizes results acquired with, the initial or Modified Software hereby specifically concurs to incorporate in the job an acknowledgement of using the program within the Work. Furthermore, when the Work includes scientific citations, and unless of course this type of citation would certainly be regarded as inappropriate, the Licensee concurs to incorporate in the job a minumum of one citation towards the scientific publications that initially described the technique implemented within the Software.

The next scientific publications retain the original descriptions from the method implemented within this Software:

• Histograms of Oriented Gradients for Human Recognition. Navneet Dalal and Bill Triggs. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. II, pages 886-893, June 2005. Paper available here.
• Human recognition using oriented histograms of flow and search. Navneet Dalal, Bill Triggs and Cordelia Schmid. European Conference on Computer Vision (ECCV), vol. II, pages 428-441, May 2006. Paper available here.
• Finding individuals images and videos. Navneet Dalal. PhD thesis, Institut National Polytechnique de Grenoble, This summer 2006. Thesis available here.

Support of Eu sixth framework project aceMedia is greatly acknowledged. Serbo-Croatian translation of the page.