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
  • [21] Deep Convolutional Neural Networks for Human Action Recognition Using Depth Maps and Postures
    Kamel, Aouaidjia
    Sheng, Bin
    Yang, Po
    Li, Ping
    Shen, Ruimin
    Feng, David Dagan
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 49 (09): : 1806 - 1819
  • [22] Human Action Recognition by Learning Spatio-Temporal Features With Deep Neural Networks
    Wang, Lei
    Xu, Yangyang
    Cheng, Jun
    Xia, Haiying
    Yin, Jianqin
    Wu, Jiaji
    IEEE ACCESS, 2018, 6 : 17913 - 17922
  • [23] Deep multiple aggregation networks for action recognition
    Ahmed Mazari
    Hichem Sahbi
    International Journal of Multimedia Information Retrieval, 2024, 13
  • [24] Deep multiple aggregation networks for action recognition
    Mazari, Ahmed
    Sahbi, Hichem
    INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL, 2024, 13 (01)
  • [25] Differential Recurrent Neural Networks for Action Recognition
    Veeriah, Vivek
    Zhuang, Naifan
    Qi, Guo-Jun
    2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2015, : 4041 - 4049
  • [26] Car Type Recognition with Deep Neural Networks
    Huttunen, Heikki
    Yancheshmeh, Fatemeh Shokrollahi
    Chen, Ke
    2016 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2016, : 1115 - 1120
  • [27] DEEP MAXOUT NEURAL NETWORKS FOR SPEECH RECOGNITION
    Cai, Meng
    Shi, Yongzhe
    Liu, Jia
    2013 IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING (ASRU), 2013, : 291 - 296
  • [28] Deep Neural Networks for Mandarin Tone Recognition
    Chen, Mingming
    Yang, Zhanlei
    Liu, Wenju
    PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2014, : 1154 - 1158
  • [29] Fingerprint Recognition by Deep Neural Networks and Fingercodes
    Basturk, Alper
    Sarikaya Basturk, Nurcan
    Qurbanov, Orxan
    2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2018,
  • [30] Deep Neural Networks in Russian Speech Recognition
    Markovnikov, Nikita
    Kipyatkova, Irina
    Karpov, Alexey
    Filchenkov, Andrey
    ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE, 2018, 789 : 54 - 67
12345