  In order to improve the precision of multi-robot SLAM multi-view target
tracking process, a improved multi-robot SLAM multi-view target tracking
algorithm based on panoramic vision in irregular environment was put forward,
adding an correction factor to renew the existing Extended Kalman Filter (EKF)
model, obtaining new coordinates X and Y after twice iterations. The paper has
been accepted by Computing and Visualization in Science and this is a
simplified version.
