I am using Java and OpenCv as tools to detect object in still images and videos.
When the background is constant/invariable, it could be good idea to subtract it from the current image. Thus only 'areas' significantly differing from zero have to be processed further.
Hi,
Are you talking about videos or still images?
I am already familiar with machine learning, Python and Neural Networks.
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will it be 2d as (1000)* (3*32*32)? or will it be 4d as (1000)* (3) (32)(32)?
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I need to implement or download an algorithm for Vehicle detection in images.
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I already built a classifier to detect a single vehicle in a frame.
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Detecting Vehicles and pedestrians, how the classifier is trained? How exactly preprocessing of images is applied?
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These features will be input to a classifier
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should be like 50% each or should negative size be multiple of positve size?
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