What dataset to use for People Detection with HOG & SVM

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Muhammet Furkan Nargül 2020-9-9

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回答： Pranav Verma 2020-9-15

I'm trying to do people detection with HOG & SVM algorithm. I could get maximum 60% accuracy. As I changed the training dataset, the accuracy changes but still can't pass over the %60. You think, is the problem about the dataset or the algorithm?

You can see the code in the following link: https://github.com/mfurkannargul/people-detection-hog-svm-matlab

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Answer 1

Pranav Verma 2020-9-15

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Hi Muhammet,

The accuracy of the model trained depends on a lot of factors.

The accuracy of the implementation of the model
Number of samples in the dataset (both positive and negative samples)
Correctness of the dataset ie, whether the dataset contains the objects that are expected to be classified by the model
Kernel function being used while training the model

You can consider using Mdl = fitcsvm(___,Name,Value) where you can define options for kernel and other parameters as name, value pairs.

Similarly, you can use [___] = extractHOGFeatures(___,Name,Value) for defining options as name, value pairs.

For further information on SVM and HOG in matlab, please refer to the following documentation:

https://www.mathworks.com/help/stats/fitcsvm.html#d120e285212

https://www.mathworks.com/help/vision/ref/extracthogfeatures.html#namevaluepairarguments

Thanks