Optical Flow in OpenCV used to Track Objects in Motion

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Uploaded by on Mar 26, 2010

Optical flow is a very important concept in image processing. It is the pattern of motion of objects, surfaces, edges, etc. OpenCV has embedded many methods that utilize the Lucas-kanade algorithm. They are cvGoodFeaturesToTrack (used to find meaningful features to track), cvFindCornerSubPix (refines a set of features), and cvCalcOpticalFlowPyrLK (does the actual optical flow calculations). This application demonstrates the fundamentals of optical flow by using cvCalcOpticalFlowPyrLK to track points defined by an end users mouse click.

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Uploader Comments (QuotientRobotics)

  • any chance of getting hands on the code ?

  • @manojvekaria I will post it for you this week.

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  • can you please post you code? thz

  • @QuotientRobotics Hi, is it possible to have your code. I'm doing on Lucas Canade. But I can find some code to read for understanding. So hope you can share some code about it. Thank you very much.

  • Hi, can you help me with this opticalflow?! I wrote some code which is tracking all pixels in the image but I want to track just those that I click (like yours). What stucture relation you did with these green points? can you send just this part of your code? thanks a lot

  • hi guys...is it possibile to have the file code? tnx

  • Could you upload the file code to a public site?

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