  Accurate estimation and prediction of trajectory is essential for
interception of any high speed target. In this paper, an extended Kalman filter
is used to estimate the current location of target from its visual information
and then predict its future position by using the observation sequence. Target
motion model is developed considering the approximate known pattern of the
target trajectory. In this work, we utilise visual information of the target to
carry out the predictions. The proposed algorithm is developed in ROS-Gazebo
environment and is verified using hardware implementation.
