performance - Faster alternatives for calcOpticalFlowSF -


is there faster alternatives calcopticalflowsf? sooo slow , wanna run thing sequence of frames coming video. how can that?

there several methods optical flow based motion estimation have consider several things:

  • are restricted cpu implementation / gpu's implementation decrease drastically run-time
  • do need dense motion fields or set of sparse motion vectors / sparse of methods more scalable , need less run-time
  • accuracy / high accuracy of dense methods critical on motion boundaries. in many application approximate dense motion field grid of sparse motion vectors , can use sparse methods pyramidal lucas kanade (opencv)

current libaries / methods are:

dense methods:

  • opencv 2.4.4 provides on gpu broxopticalflow fast too
  • the flowlib of gpu4vision group provides high accurate gpu implementation
  • gpu implementation of tv-l1 on gpu provided

sparse methods:

  • opencv since 2.4.2 provides pyramidal lucas kanade on gpu /earlier verions fast implementation on cpu
  • the rloflib provides more accurate implementation gpu / cpu , matlab
  • the gain adaptive lucas kanade / klt available gpu

you take current optical flow benchmarks, researcher provides link. common optical flow benchmarks middlebury , kitti


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