A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)
A kind of rapid two-level human detection algorithm based on the interested area was proposed in the paper, the coarse-level classifier was obtained via using the cascade training of multi-scale direction feature and Adaboost to extract the possibly human interested area, the decomposition and dimension reduction were realized via nonnegative matrix, and the précised classifier was obtained via the cascade training of dimension reduction feature and intersection kernel support vector machine todoi:10.2991/icaset-17.2017.20 fatcat:342tckiqhbc5rexlbeicnyvmei