Target detection based on hierarchical saliency feature model

Yuehuan Wang; Qian Lan; Tianxu Zhang

doi:10.1117/12.750062

15 November 2007 Target detection based on hierarchical saliency feature model

Yuehuan Wang, Qian Lan, Tianxu Zhang

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67863H (2007) https://doi.org/10.1117/12.750062
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

A target description model based on hierarchical saliency feature and target detection based on the model are proposed, which integrates bottom-up and top-down vision attention mechanisms together. Some saliency features of target are extracted on multi-scale, such as local symmetry, corner and so on, which are then processed hierarchically. This makes detection process much simpler and robust. Experiments demonstrate that the approach proposed is effective.

Citation Download Citation

Yuehuan Wang, Qian Lan, and Tianxu Zhang "Target detection based on hierarchical saliency feature model", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67863H (15 November 2007); https://doi.org/10.1117/12.750062

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