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This paper presents a method for detecting unusual human activity from a video stream, depending on whether a sequence of human actions differs from the usually observed sequences of human actions. The proposed method extracts low-level features from a video stream during a short time period for describing human actions, and the extracted sequence of the low-level features is used for describing human...
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...
We propose a method of shot boundary detection based on the co-occurrence of global motion in video stream. In addition to the conventional features based on appearance and local motion, we apply ST (Space-Time) patch analysis for detecting global motion in video stream. And then we perform shot boundary detection by constructing AdaBoost classifiers which represent the co-occurrence of global motion...
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