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The possible mechanism underlying visual anti-camouflage: a model and its real-time simulation

Visual camouflage and anti-camouflage may be of widespread relevance throughout the animal kingdom. A question arises as to the possible mechanism underlying visual anti-camouflage. A computational model of visual moving image filtering is proposed in which Reichardt's elementary motion detectors are employed 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, the separation of the moving object image from its background is realized in real-time, while the detected moving image is in high resolution with lower level noise.