Pixel resolution required for object detection ?

asked 2014-02-09 13:27:50 -0600

jh
1

Hi I want to be able to detect cars or people or any object of interest in a live video. The camera will be far away from the target(ie the camera will be in a uav). How many pixels do i need on the target to detect the target ? You dont need to think about it from a uav point of view, the question is independent of that. How many pixels will i need on a car( 200 pixels, 1000 pixels ?), say for the histogram of oriented graidents, or haar classifiers or any object detection method to work reasonably well? If you can provide a reference as well, that will be preferred. Personal experience is fine as well.

answered 2014-02-09 15:00:31 -0600

Abhishek Kumar Annamraju

190 ●2 ●9 http://abhishek4273.wo...

updated 2014-02-09 15:15:04 -0600

The better the resolution of the camera the better are the results.

See the camera resolution of 640*480 would also do good if you have haar-trained or train-cascaded your micro-controller(I mean the brain of UAV) well.

For that you would require atleast 2000 positive images of the object(2020 to 100100 sized images,if the resolution of images is more,the time of training will be more),and a set of atleast 4000 negative images.Once trained properly your UAV would be able to detect the object even with poor resolution.

The whole process of haartraining can be viewed from the following blog:- http://abhishek4273.wordpress.com/2014/02/10/opencv-haar-training/

If you have any further questions ping me up on the same blog or here. I hope this helps you :)

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