Human Action Recognition Based on Self-learned Key Frames and Features Extraction | |
Fu, Qi[1]; Liu, Lina[2]; Ma, Shiwei[3] | |
2017 | |
会议名称 | 2017 CHINESE AUTOMATION CONGRESS (CAC) |
会议日期 | 2017-01-01 |
关键词 | human action recognition sparse autoencoder (SAE) sparse LSTIM autoencoder |
页码 | 3498-3502 |
URL标识 | 查看原文 |
内容类型 | 会议论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2196631 |
专题 | 上海大学 |
作者单位 | 1.[1]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China. 2.[2]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China. 3.Shandong Univ Technol, Sch Elect & Elect Engn, Zibo, Peoples R China. 4.[3]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China. |
推荐引用方式 GB/T 7714 | Fu, Qi[1],Liu, Lina[2],Ma, Shiwei[3]. Human Action Recognition Based on Self-learned Key Frames and Features Extraction[C]. 见:2017 CHINESE AUTOMATION CONGRESS (CAC). 2017-01-01. |
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