A method for reciprocating motion detection in porn video based on motion features
Zhiyi Qu, Yan Liu, Ying Liu, Kang Jiu, Chen Yong · 2009
This paper presents a new algorithm for detecting the human's reciprocating motion in pornographic videos. First, the motion vector is extracted from mpeg video stream and pretreated so that the motion features are extracted by analyzing the motion rule of the objectionable videos. Then the whole videos are detected through setting a threshold. Experimental results demonstrate that the correct recognition rate of this algorithm is up to 80%, so it is fit for the most of video detection environments.