Information Modeling

Posted by Betamoo on Stack Overflow See other posts from Stack Overflow or by Betamoo
Published on 2010-05-28T17:39:18Z Indexed on 2010/05/28 17:42 UTC
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Filed under:

artificial-intelligence

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data-modeling

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machine-learning

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artificial-neural-network

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probability

The sensor module in my project consists of a rotating camera, that collects noisy information about moving objects in the surrounding environment.
The information consists of distance, angle and relative change of the moving objects..
The limiting view range of the camera makes it essential to rotate the camera periodically to update environment information...

I was looking for algorithms / ways to model these information, in order to be able to guess / predict / learn motion properties of these object..

My current proposed idea is to store last n snapshots of each object in a queue. I take weighted average of positions and velocities of moving object, but I think it is a poor method...

Can you state some titles that suit this case?

Thanks

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