A visual nervous network for moving object recognition

Proposes a visual nervous network for moving object recognition. This network is based on a visual neural net which has a hierarchical parallel structure. The network consists of three modules: the movement detection module, the moving object estimation module and the moving object recognition module. The movement detection module detects moving points and their direction. The moving object estimation module estimates the moving object based on motion features. The moving object recognition module recognizes the moving object based on its form feature. The network is able to recognize moving objects by uniting motion recognition and pattern recognition. We carried out computer simulations using real moving images to confirm the effectiveness of the proposed network.