hogdescriptor::getDefaultPeopleDetector implementation question [closed]
Hi I am currently working on training the SVM for HOG using SVM light. Following the methodology of the paper I am able to get decent results but not as good as using the vector being returned by the DefaultPeopleDetector. I am currently trying to reproduce the results from the paper. Does anyone know how exactly the DefaultPeopleDetector was generated so that I can compare that with the Dalaal 2005 paper results as well as my own results. I am mostly interested in whether or not the SVM was trained using a RBF kernel vs a linear kernel and the method of training.
An exact same question has already been posed in this topic. Next time please use the search button first before posting new questions. Topic closed.