A survey on deep neural networks for human action recognition in RGB image and depth image

被引：0

作者：

Wang, Hongyu ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Dept Appl Math, Xian, Shaanxi, Peoples R China

来源：

ENERGY SCIENCE AND APPLIED TECHNOLOGY (ESAT 2016) | 2016年

关键词：

video surveillance; human action recognition; deep neural networks;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Human action recognition has been a significant topic in computer vision and video surveillance. With the development of in-depth learning, the application of deep neural networks in related research is increasingly prevalent. This paper provides a survey on deep neural networks for human action recognition, which focus on the methods based on color images or depth images. The detailed description of each method is explained, and several related main datasets are briefly introduced. In this study, all papers published from 2013 to 2015 are reviewed, which provides an overview of the progress in this area.

引用

页码：697 / 703

页数：7

共 27 条

[1] Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning [J].

Ali, Saad ;

Shah, Mubarak .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2010, 32 (02) :288-303

[2]

[Anonymous], 2012, UCF101 DATASET 101 H

[3]

Baccouche Moez, 2011, Human Behavior Unterstanding. Proceedings Second International Workshop, HBU 2011, P29, DOI 10.1007/978-3-642-25446-8_4

[4]

Bourdev L, 2011, IEEE I CONF COMP VIS, P1543, DOI 10.1109/ICCV.2011.6126413

[5]

Chen M., 2012, COMPUTER SCI LEARNIN

[6]

Ganapathi V., 2010, Computer Vision and Pattern Recognition (CVPR 2010), P755, DOI DOI 10.1109/CVPR.2010.5540141

[7] Learning precise timing with LSTM recurrent networks [J].

Gers, FA ;

Schraudolph, NN ;

Schmidhuber, J .

JOURNAL OF MACHINE LEARNING RESEARCH, 2003, 3 (01) :115-143

[8] Actions as space-time shapes [J].

Gorelick, Lena ;

Blank, Moshe ;

Shechtman, Eli ;

Irani, Michal ;

Basri, Ronen .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2007, 29 (12) :2247-2253

[9] Learning Sparse Representations for Human Action Recognition [J].

Guha, Tanaya ;

Ward, Rabab Kreidieh .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2012, 34 (08) :1576-1588

[10]

Hyvärinen A, 2009, COMPUT IMAGING VIS, V39, P1

← 1 2 3 →