Action Recognition with Deep Neural Networks

被引：0

作者：

Doyran, Metehan ^{[1
]}

Yildirim, Yigit ^{[1
]}

Salah, Albert Ali ^{[1
]}

机构：

[1] Bogazici Univ, Bilgisayar Muhendisligi, Istanbul, Turkey

来源：

2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2017年

关键词：

Action recognition; multi-label classification; extreme learning machine; support vector machine; deep neural networks;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this work, we have invesigated the action recognition problem using the Charades Action Recognition Dataset with 157 action classes. We have compared the results of different techniques such as extreme learning machines, support vector machines, and decision trees, applied on the features extracted with deep neural networks and the scene-action conditional probabilities.

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页数：4

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