A METHOD FOR RECIPROCATING MOTION DETECTION IN PORN VIDEO BASED ON MOTION FEATURES
This paper presents a new algorithm for detecting the humans 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.
Motion Vector Motion features Porn video Reciprocating motion Direction Histogram
Qu Zhiyi Liu Yanmin Liu Ying Jiu Kang Chen Yong
School of Information Science & Engineering, Lan zhou University Lanzhou, China,730000
国际会议
北京
英文
183-187
2009-10-18(万方平台首次上网日期,不代表论文的发表时间)