Human Action Recognition in Still Images using Bag of Latent Poselets
نویسندگان
چکیده
In this paper we proposed a new method for the problem of structural human action recognition in single images. In this work, we first extract all Poselets in the images for using as the descriptor of human’s activity. Then, we model the latent topics of human poses by using extracted vectors and P-LSA. Finally recognize human’s action in a query image by using the trained SVM on the extracted bag of latent Poselets. We tested our method on PASCAL VOC2010 action classification dataset and the results show the significant improvements in some action classes such as Walking and Running.
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