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The human visual system demonstrates powerful image processing functionalities. Inspired by the behaviour of the human visual system, a method of gesture segmentation with the complex background is investigated based on fusion of outputs from two kinds of spiking neural networks. The structures and the properties of the two networks are detailed in this paper. One of two networks performs the movement region of gesture. Meanwhile, another spiking neural network performs identification of skin area according to the biologically colour processing mechanism. Finally, two outputs from two neural networks are integrated to segment the meaningful region of gestures from the video image sequence. Simulation results show that the proposed algorithm works efficiently and can perform gesture segmentation with the satisfying accuracy for dynamic visual image sequence under complex background. It is promising to apply this approach to video processing domain and robotic visual systems. Keywords-gesture segmentation; spiking neural network; visual system; motion detection; skin detection

Gesture Segmentation Using Spiking Neural Networks Inspired by the Visual System