How to use trained SVM classifier with vision.ObjectDetector?

I want to train a SVM classifier (say using classifier = fitcecoc(trainingFeatures, trainingLabels);). Feature type is not currently important, say HoG. Then I want to use this classifier for object detection. I don't want to use the system vision.CascadeObjectDetector as this is a decision tree based detector that doesn't return confidence values per object proposal. Is there an alternative that I have missed? Any proposals will be greatly appreciated.

Answer 1

[Dima Lisin]

You can certainly train your own HOG-SVM classifier. The bad news is that to use it for object detection, you would have to write your own code to do the sliding windows.

[AD]

That's what I thought. Thanks for the answer. It is a shame though, as multiscale sliding window search is obviously already efficiently implemented in vision.ObjectDetector. Why not expose it?

[Wajahat]

I agree