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.