Research of method in human detection based on bandelet transform

Hong Han; Xing Wu; Licheng Jiao

doi:10.1117/12.832905

30 October 2009 Research of method in human detection based on bandelet transform

Hong Han, Xing Wu, Licheng Jiao

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74951S (2009) https://doi.org/10.1117/12.832905
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Based on the geometric flow of images and the second generation bandelet transform, a new feature extraction method was proposed and used to detect human in images. In this paper, bandelet coefficients and their statistical values were extracted as the feature of human images, combined with linear SVM classifier to classify and detect human in images. In the proposed algorithm, some general statistical values of the bandelet coefficients were computed to enhance the classification capacity. The results of human detection experiments indicate that the proposed method can describe human characteristics and improve the performance of classifier effectively. It is very suitable for human detection in images.

Citation Download Citation

Hong Han, Xing Wu, and Licheng Jiao "Research of method in human detection based on bandelet transform", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951S (30 October 2009); https://doi.org/10.1117/12.832905

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