A new hybrid registration approach that combines hierarchically structured quadrilateral displacement estimating and
local optical flow is proposed in this paper, for the purpose of super resolution (SR) reconstruction for visual surveillance
application. The proposed registration approach for complicated motions circumstance consists of two steps: a
hierarchical quadrilateral displacement estimation algorithm is designed to get coarse motion estimation as initial
prediction; then a local optical flow method is employed to obtain more accurate motion estimation for each pixel within
every matched quadrilateral. A ROI-based SR construction scheme using the proposed registration approach is presented
for iterative reconstruction of region of interest in the scene. Experimental results show that significant improvements are
achieved by applying our method than using previous methods, which suggests the effectiveness of the proposed method.
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