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Spatio-Temporal Interest Point (STIP) has been widely used for human action recognition. However, the performance of the STIP based methods are still limited in realistic datasets which often include large variations in illuminations, viewpoints and camera motions. One reason of the low performance is that the STIPs only reflect the local change in videos, which is not enough to obtain stable informative...
Recognizing objectionable content draws more and more attention nowadays given the rapid proliferation of images and videos on the Internet. Although there are some investigations about violence video detection and pornographic information filtering, very few existing methods touch on the problem of violence detection in still images. However, given its potential use in violence webpage filtering,...
This paper proposes a novel method for human action recognition. Different from many action recognition methods which consider an action sequence along the time axis, the proposed method views an action sequence along the space axis. This brings two advantages: the human body structures in all frames are encoded in the feature; the time information is completely used. The process of feature extraction...
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