Visual camoflage and anticamouflage may he of widespread relevance througho
ut the animal kingdom. A question arises as to the possible mechanism under
lying visual anticamouflage. A computational model of visual moving image f
iltering is proposed in which Reichardt's elementary motion detectors are e
mployed for detecting motion information, Afterimages may play an important
role in filtering motion object image. An electronic neural network setup
was developed for real-time examination of the computational model, Thus, t
he separation of the moving object image from its background is realized in
real-time, while the detected moving image is in high resolution with lowe
r level noise.