Analysis of Dogs' Sleep Patterns Using Convolutional Neural Networks

被引：16
|
作者：
Zamansky, Anna [1 ]
Sinitca, Aleksandr M. [2 ]
Kaplun, Dmitry, I [2 ]
Plazner, Michael [1 ]
Schork, Ivana G. [3 ]
Young, Robert J. [3 ]
de Azevedo, Cristiano S. [4 ]
机构：
[1] Univ Haifa, Informat Syst Dept, Haifa, Israel
[2] St Petersburg Electrotech Univ LETI, St Petersburg, Russia
[3] Univ Salford, Sch Environm & Life Sci, Manchester, England
[4] Univ Fed Ouro Preto, Dept Biodivers Evolut & Environm, Ouro Preto, Brazil
来源：
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: IMAGE PROCESSING, PT III | 2019年 / 11729卷
关键词：
Convolutional neural networks; Animal science; Animal welfare; Computer vision; VIDEO TRACKING; BEHAVIOR; SYSTEM;
D O I：
10.1007/978-3-030-30508-6_38
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Video-based analysis is one of the most important tools of animal behavior and animal welfare scientists. While automatic analysis systems exist for many species, this problem has not yet been adequately addressed for one of the most studied species in animal science-dogs. In this paper we describe a system developed for analyzing sleeping patterns of kenneled dogs, which may serve as indicator of their welfare. The system combines convolutional neural networks with classical data processing methods, and works with very low quality video from cameras installed in dogs shelters.
引用
收藏
页码：472 / 483
页数：12
相关论文
共 50 条
  • [21] Harmonic Analysis in Power Systems using Convolutional Neural Networks
    Severoglu, Nagihan
    Salor, Ozgul
    2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2018,
  • [22] Regional climate fluctuation analysis using convolutional neural networks
    Shigeoki Moritani
    Takuro Sega
    Sachinobu Ishida
    Swe Swe Mar
    Bouya Ahmed Ould Ahmed
    Earth Science Informatics, 2022, 15 : 281 - 289
  • [23] Medical Image Analysis using Convolutional Neural Networks: A Review
    Syed Muhammad Anwar
    Muhammad Majid
    Adnan Qayyum
    Muhammad Awais
    Majdi Alnowami
    Muhammad Khurram Khan
    Journal of Medical Systems, 2018, 42
  • [24] Detection and analysis of wheat spikes using Convolutional Neural Networks
    Md Mehedi Hasan
    Joshua P. Chopin
    Hamid Laga
    Stanley J. Miklavcic
    Plant Methods, 14
  • [25] Detection and analysis of wheat spikes using Convolutional Neural Networks
    Hasan, Md Mehedi
    Chopin, Joshua P.
    Laga, Hamid
    Miklavcic, Stanley J.
    PLANT METHODS, 2018, 14
  • [26] The analysis of VERITAS muon images using convolutional neural networks
    Feng, Qi
    Lin, Tony T. Y.
    ASTROINFORMATICS, 2017, 12 (S325): : 173 - 179
  • [27] Activity landscape image analysis using convolutional neural networks
    Javed Iqbal
    Martin Vogt
    Jürgen Bajorath
    Journal of Cheminformatics, 12
  • [28] Analysis of gene expression data using convolutional neural networks
    Koudijs, Karel K. M.
    Guchelaar, Henk-Jan
    Bohringer, Stefan
    HUMAN HEREDITY, 2023, 88 (SUPPL 1) : 14 - 14
  • [29] Automated plankton image analysis using convolutional neural networks
    Luo, Jessica Y.
    Irisson, Jean-Olivier
    Graham, Benjamin
    Guigand, Cedric
    Sarafraz, Amin
    Mader, Christopher
    Cowen, Robert K.
    LIMNOLOGY AND OCEANOGRAPHY-METHODS, 2018, 16 (12): : 814 - 827
  • [30] Sentiment Analysis of Indian Languages using Convolutional Neural Networks
    Shalini, K.
    Ravikumar, Aravind
    Vineetha, R. C.
    Reddy, Aravinda D.
    Kumar, Anand M.
    Soman, K. P.
    2018 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2018,
12345