<p>For more information read journal paper named, "<a href="https://arxiv.org/pdf/1406.2419.pdf" rel="nofollow">Why do linear SVMs trained on HOG features perform so well?</a> " Hilton Bristow, Simon Lucey (2014)</p>
Why does linear svms work well with HoG descriptors?
<p>Ok,  almost all applications I have seen that use HoG features use linear svm as classifier. Can someone explain for me why linear svm are chosen and why they give good performance? </p>

<p>Are linear svm chosen because it more simple and easier to train than svms that use polynomial or gaussian kernel and using these kernels is not giving significantly better performance? </p>