A hybrid registration approach in super-resolution reconstruction for visual surveillance application

Lin Guo; Qinghu Chen

doi:10.1117/12.833919

30 October 2009 A hybrid registration approach in super-resolution reconstruction for visual surveillance application

Lin Guo, Qinghu Chen

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74960I (2009) https://doi.org/10.1117/12.833919
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Lin Guo and Qinghu Chen "A hybrid registration approach in super-resolution reconstruction for visual surveillance application", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74960I (30 October 2009); https://doi.org/10.1117/12.833919

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