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Proceedings Paper

A hybrid registration approach in super-resolution reconstruction for visual surveillance application
Author(s): Lin Guo; Qinghu Chen
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Paper Abstract

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.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74960I (30 October 2009); doi: 10.1117/12.833919
Show Author Affiliations
Lin Guo, Wuhan Univ. (China)
Qinghu Chen, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 7496:
MIPPR 2009: Pattern Recognition and Computer Vision
Mingyue Ding; Bir Bhanu; Friedrich M. Wahl; Jonathan Roberts, Editor(s)

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