Which Algorithm for Motion Detection Between Consecutive Images?

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SUMMARY

The discussion focuses on identifying efficient algorithms for motion detection between consecutive images, specifically seeking methods that are not encumbered by patents. The user describes a scenario involving a moving object against a static background and emphasizes the need for algorithms that can differentiate between background and moving areas. Techniques such as image subtraction are mentioned as a starting point, but the user seeks further insights on determining the direction of motion.

PREREQUISITES
  • Understanding of image processing concepts
  • Familiarity with algorithms for motion detection
  • Knowledge of background subtraction techniques
  • Basic skills in programming for algorithm implementation
NEXT STEPS
  • Research "Optical Flow algorithms for motion detection"
  • Explore "Background Subtraction methods in OpenCV"
  • Learn about "Frame differencing techniques for video analysis"
  • Investigate "Kalman Filters for tracking moving objects"
USEFUL FOR

Computer vision researchers, software developers working on image processing applications, and engineers focused on motion detection technologies will benefit from this discussion.

whatta
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there seem to be no forum for applied math on PF, but can anyone here point me to simplest yet efficient yet not covered by evil patents algorithm for motion detection between two/more consecutive images?
 
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it might help if I say what is this for. for example, http://www.imagehosting.com/out.php/i276617_motion.GIF "white" represents background, "gray" is round moving object in two frames, and "dim gray" is area that we have no background information for. for "gray" areas it should be possible to restore background, but we need some way to tell which data is background data in each frame. I can see that, subtracting images, I can find these areas, but how do I guess the direction of motion?
 

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