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Multiple object detection using HOG+SVM?

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.