Motion Prediction of Regions Through the Statistical Temporal Analysis Using an Autoregressive Moving Average (ARMA) Model

@article{SnchezGarca2014MotionPO,
  title={Motion Prediction of Regions Through the Statistical Temporal Analysis Using an Autoregressive Moving Average (ARMA) Model},
  author={{\'A}ngel Juan S{\'a}nchez-Garc{\'i}a and Homero V. R{\'i}os-Figueroa and Maria de Lourdes Velasco Vasquez and Gerardo Contreras Vega and Antonio Mar{\'i}n-Hern{\'a}ndez},
  journal={Research in Computing Science},
  year={2014},
  volume={77},
  pages={9-20}
}
Currently many applications require tracking moving objects, and that information is used to plan the path of motion or change according to the position of a visual target [1] [2]. Computer vision systems can predict the motion of objects if the movement behavior is analyzed over time, ie, it is possible to find out future values based on previously observed values. In this paper, a proposal to predict motion of segmented regions is presented, through an analysis of a time series using an ARMA… CONTINUE READING