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.
引用
收藏
页数：4
相关论文
共 50 条
  • [11] Skeleton-based Action Recognition with Lie Group and Deep Neural Networks
    Li, Yanshan
    Guo, Tianyu
    Liu, Xing
    Xia, Rongjie
    2019 IEEE 4TH INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP 2019), 2019, : 26 - 30
  • [12] Deep Residual Split Directed Graph Convolutional Neural Networks for Action Recognition
    Fu, Bo
    Fu, Shilin
    Wang, Liyan
    Dong, Yuhan
    Ren, Yonggong
    IEEE MULTIMEDIA, 2020, 27 (04) : 9 - 17
  • [13] Stratified pooling based deep convolutional neural networks for human action recognition
    Sheng Yu
    Yun Cheng
    Songzhi Su
    Guorong Cai
    Shaozi Li
    Multimedia Tools and Applications, 2017, 76 : 13367 - 13382
  • [14] A Survey on Deep Neural Networks for Human Action Recognition based on Skeleton Information
    Wang, Hongyu
    RECENT DEVELOPMENTS IN INTELLIGENT SYSTEMS AND INTERACTIVE APPLICATIONS (IISA2016), 2017, 541 : 329 - 336
  • [15] Deep Neural Networks Using Capsule Networks and Skeleton-Based Attentions for Action Recognition
    Ha, Manh-Hung
    Chen, Oscal Tzyh-Chiang
    IEEE ACCESS, 2021, 9 : 6164 - 6178
  • [16] Learning Action Images Using Deep Convolutional Neural Networks For 3D Action Recognition
    Thien Huynh-The
    Hua, Cam-Hao
    Kim, Dong-Seong
    2019 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS), 2019,
  • [17] Human Action Recognition Using Fusion of Modern Deep Convolutional and Recurrent Neural Networks
    Tkachenko, Dmytro
    2018 IEEE FIRST INTERNATIONAL CONFERENCE ON SYSTEM ANALYSIS & INTELLIGENT COMPUTING (SAIC), 2018, : 181 - 185
  • [18] A survey on deep neural networks for human action recognition in RGB image and depth image
    Wang, Hongyu
    ENERGY SCIENCE AND APPLIED TECHNOLOGY (ESAT 2016), 2016, : 697 - 703
  • [19] Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition
    Cui, Zijun
    Song, Tengfei
    Wang, Yuru
    Ji, Qiang
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020, 2020, 33
  • [20] Multi-stream with Deep Convolutional Neural Networks for Human Action Recognition in Videos
    Liu, Xiao
    Yang, Xudong
    NEURAL INFORMATION PROCESSING (ICONIP 2018), PT I, 2018, 11301 : 251 - 262
12345