Using openCV, we use goodFeaturesToTrack function to get strong edges in the image as the feature point tracking, next to call calcOpticalFlowPyrLK function, input two consecutive images, and select a set of feature points in the first image, the output for this set of points in the next image position. Then filter the resulting trace to get rid of the bad feature points. Then mark the tracking path of the feature points.

OpticalFlow\Debug\bike.avi
OpticalFlow\Debug\OpticalFlow.exe
OpticalFlow\Debug\OpticalFlow.ilk
OpticalFlow\Debug\OpticalFlow.pdb
OpticalFlow\OpticalFlow\bike.avi
OpticalFlow\OpticalFlow\Debug\BuildLog.htm
OpticalFlow\OpticalFlow\Debug\FeatureTracker.obj
OpticalFlow\OpticalFlow\Debug\FrameProcessor.obj
OpticalFlow\OpticalFlow\Debug\mt.dep
OpticalFlow\OpticalFlow\Debug\OpticalFlow.exe.intermediate.manifest
OpticalFlow\OpticalFlow\Debug\opticalFlow.obj
OpticalFlow\OpticalFlow\Debug\vc90.idb
OpticalFlow\OpticalFlow\Debug\vc90.pdb
OpticalFlow\OpticalFlow\opticalFlow.cpp
OpticalFlow\OpticalFlow\OpticalFlow.vcproj
OpticalFlow\OpticalFlow\OpticalFlow.vcproj.HP98402794308.Administrator.user
OpticalFlow\OpticalFlow.ncb
OpticalFlow\OpticalFlow.sln
OpticalFlow\OpticalFlow.suo
OpticalFlow\OpticalFlow\Debug
OpticalFlow\Debug
OpticalFlow\OpticalFlow
OpticalFlow

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