John Strood's profile - activity

Yes, I was indeed talking about the second possibility. That is compute the HOG feature vector and perhaps pair it with LibSVM. But no one's ever talked about it. So I was thinking if it were ever feasible.

I read a lot of posts on the web that said it was impossible to detect objects of different types like human face, car, dog,cat, banana etc using a single classifier. But I began wondering can we not train a classifier with images of different objects in a multiclass SVM? The SVM predict then returns the class label from which we can infer the type of object. I know this is really simple task by using a Caffe's RCNN. But I wished to know if the method I described was feasible.