期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2233&2234
页码：339-342
出版社：Newswood and International Association of Engineers
摘要：In this paper we shall explore and examine how
Markov Chain techniques of stochastic processes can be utilized
to analyze cow behaviors in video-based monitoring systems. In
this aspect due to shortage of human experts for monitoring the
video-based monitoring system has become a powerful
technique to replace for human experts. Moreover the image
processing methods will play major roles in analyzing visual
behaviors such as cow identification, estrus detection, prediction
of calving time and body condition scoring etc. Since cow
behaviors are changing with respect to times and related to
immediate past, Markov Chain models will be very useful
enforce the image processing techniques. Although there has
been a tremendous amount of methods for detecting estrus, still
it needs to improve for achieving a more accurate and practical.
Thus in this paper, cow behaviors are to be analyzed by using
Gamma Type Markov Chain Models. In particular, image
processing methods will be performed to detect cow activities
such as standing, lying and walking in association with time,
space and frequencies. Then collected data are to be modeled by
using Markov Chain for decision making process. As an
illustration, we provide some simulation results based on gamma
random number generated data.
