The present invention relates to the technical field of artificial intelligence. Disclosed are a spiking neural network-based short-range tracking method and system. The method comprises: performing spike encoding on an input image on the basis of an attention mechanism; modifying the structure of a convolutional neural network, migrating parameters of the convolutional neural network to a spiking neural network, and reconstructing a spiking neural network; calculating a spike similarity between corresponding feature points in adjacent image frames of the input image, and obtaining a regional similarity; and using the reconstructed spiking neural network to track a target in the input image. The reconstructed spiking neural network of the present invention effectively combines remarkable feature extraction characteristics of a convolutional neural network and highly efficient calculation characteristics of a spiking neural network.
SPIKING NEURAL NETWORK-BASED SHORT-RANGE TRACKING METHOD AND SYSTEM