Near-recursive optical flow from disturbance fields

We derive a formal link between temporally weighted frame differences, or disturbance fields, which carry limited information commonly used for motion detection, and the optic flow, which carries rich information on local image motion. We use this to formulate a novel, simple, near-recursive optic flow algorithm based on a recursive-filter formulation. Most quantities involved are computed recursively, using only data from the current and previous frame. Experimental results with well-known synthetic, ground-truthed test sequences and standard performance metrics indicate good quantitative performance. Test with real sequences suggest similar or better performance than a similar algorithm.