A Neural Network for Motion Detection of Drift-Balanced Stimuli

Part of Advances in Neural Information Processing Systems 4 (NIPS 1991)

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Hilary Tunley


This paper briefly describes an artificial neural network for preattentive visual processing. The network is capable of determiuing image motioll in a type of stimulus which defeats most popular methods of motion detect.ion - a subset of second-order visual motion stimuli known as drift-balanced stimuli(DBS). The processing st.ages of the network described in this paper are integratable into a model capable of simultaneous motion extractioll. edge detection, and the determination of occlusion.