How to use trained SVM classifier with vision.ObjectDetector?

1 次查看（过去 30 天）
AD
AD 2015-11-18
评论： Wajahat 2015-12-7
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.

请先登录，再回答此问题。

采纳的回答

Dima Lisin
Dima Lisin 2015-11-18
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.
  2 个评论
AD
AD 2015-11-18
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?

请先登录，再进行评论。

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Get Started with Statistics and Machine Learning Toolbox 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by