Efficient and robust global motion estimation for automatic target recognition

Ming Jin; Bin Xue; Dingming Peng

doi:10.1117/12.749883

15 November 2007 Efficient and robust global motion estimation for automatic target recognition

Ming Jin, Bin Xue, Dingming Peng

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678636 (2007) https://doi.org/10.1117/12.749883
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In the automatic target recognition with complex background, the method of detecting motion target using the global motion estimation (GME) in image sequences is often proposed. Due to the possible presences of differently moving foreground objects and other sources of distortions, improvement of robustness and preciseness of GME is very difficult. Therefore the method of GME based on the M-estimators' formulation with direct multi-resolution is proposed in our paper. The M-estimators' formulation is not only executed in gradient descent at each level of the pyramid, but also applied in initial translation estimation with minimal SSD at the coarsest level, which assures the convergence of the subsequent gradient descent algorithm. Comparative experiments are performed to validate the performance of the proposed algorithm. The effectiveness and improvements can be observed from the comparisons.

Citation Download Citation

Ming Jin, Bin Xue, and Dingming Peng "Efficient and robust global motion estimation for automatic target recognition", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678636 (15 November 2007); https://doi.org/10.1117/12.749883

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