• DocumentCode
    606011
  • Title

    Automated activity monitoring using a visual sensor

  • Author

    Haelyeon Kim ; Heegon Kim ; Sungju Lee ; Yongwha Chung

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Korea Univ., Sejong, South Korea
  • fYear
    2012
  • fDate
    23-25 Oct. 2012
  • Firstpage
    529
  • Lastpage
    532
  • Abstract
    Automated activity monitoring becomes important in many applications such as healthcare. In this paper, we propose an automated solution for measuring the daily-life activities of livestock by using video data in order to manage the healthcare problem of group-housed pigs. We first extract activity data from the video and then measure the amount of the daily-life activities caused by group-housed pigs. From the experimental results, we believe our method can be either a standalone solution or an additional solution to known methods for detecting abnormal behavior in group-housed pigs accurately.
  • Keywords
    agricultural engineering; computerised monitoring; farming; image sensors; video signal processing; video surveillance; abnormal behavior detection; activity data extraction; automated activity monitoring; daily-life activities; group-housed pigs; healthcare problem manage; livestock; video data; visual sensor; abnormal behavior detection; activity monitoring; video sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4673-0876-2
  • Type

    conf

  • Filename
    6528691