Multiple object detection using HOG+SVM?

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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.

Hi, where you able to find a solution for the same issue? I was also trying to do multiple object class recognition using image features , however not getting any leads on the same? Please let me know if you have a clue to this. Mostly I find codes only for a single object class (like either cars or humans, but not both)

@chandini -- what's unclear about the answer above ? please try to read it again.

I am clear about the above answer, I was asking whether it was possible to compute our own HOG feature vector. And if yes, any leads on how they did it?

I think i saw your comment from my gmail notification for the below question i posted on the same: http://answers.opencv.org/question/20...

It seems convincing... However, I find you deleted the same. :( Any other suggestions? @berak

there is code to train HogDescriptors for detection here but again -- for a single class (vs "background") only

@berak... so if i want to detect or match both cars and humans I probably need two different codes right? That is one for cars and then one for humans.?

yes, unfortunately. if you also need bycicles & wheelchairs, you're already at 4 detectors.

i think you should give up your deep learning aversion. resistance is futile here ;)

you could simply pickup something pretrained from here

ha ha sure. I was trying a different approach from deep learning. :)