Human Action Recognition Based on Dense Trajectories Analysis and Random Forest

来源 :Journal of Electronic Science and Technology | 被引量 : 5次 | 上传用户：yuanwenrui

【摘要】

：

This paper presents a human action recognition method. It analyzes the spatio-temporal grids along the dense trajectories and generates the histogram of oriented gradients(HOG) and histogram of optica

【作者】

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Pin-Zhong Pan Chung-Lin Huang

【机构】

：

SonixTechnology,DepartmentofM-CommerceandMultimediaApplications

【出处】

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Journal of Electronic Science and Technology

【发表日期】

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2016年04期

【基金项目】

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This work was supported by the MOST, Taiwan under Grant No. 102-2221-E-468-013.

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Human Action Recognition Based on Dense Trajectories Analysis and Random Forest

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