Computer Science ›› 2017, Vol. 44 ›› Issue (6): 283-289.doi: 10.11896/j.issn.1002-137X.2017.06.050

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Novel Action Recognition via Improved PLSA and CBR

TU Hong-bin, YUE Yan-yan, ZHOU Xin-jian and LUO Kun   

  • Online:2018-11-13 Published:2018-11-13

Abstract: In order to recognize the ambiguous action meaning in the same scene for occlusion,the improved PLSA and CBR algorithm are used to recognize the simple action according to the space-time interest point.The improved algorithm can not only overcome the shortcomings of the over fitting in the traditional PLSA algorithm owe to the generative model independence assumption of observation sequences,but also decrease recognition ambiguity.Experiments based on the proposed method are executed on the public databases such as KTH,Weizmann,UCF sports and the self-building database.The results show that the proposed method has the performance of validity and effectiveness.

Key words: Action recognition, Ambiguous behavior,Space-time interest point,PLSA(Probabilistic Latent Semantic Analysis),CBR(Case Based Reason)

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