Visual tracking method and device based on pulse neural network and electronic equipment
The invention provides a visual tracking method and device based on a pulse neural network and electronic equipment, and belongs to the technical field of computers. The method comprises the following steps: acquiring two adjacent frames of RGB images, and generating a target event image; inputting...
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Main Authors | , , |
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Format | Patent |
Language | Chinese English |
Published |
30.08.2024
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Subjects | |
Online Access | Get full text |
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Summary: | The invention provides a visual tracking method and device based on a pulse neural network and electronic equipment, and belongs to the technical field of computers. The method comprises the following steps: acquiring two adjacent frames of RGB images, and generating a target event image; inputting the target event image and the next frame of RGB image in the two adjacent frames of RGB images into a multi-modal tracking model for visual tracking; the multi-modal tracking model comprises a fusion module and a twin network model, the fusion module is used for fusing the target event image and the next frame of RGB image to obtain a multi-modal image, and the twin network model is used for receiving the multi-modal image and outputting a positioning result of a tracking target in the next frame of RGB image. According to the pulse neural network-based visual tracking method provided by the invention, the visual tracking capability can be improved.
本发明提供一种基于脉冲神经网络的视觉追踪方法、装置及电子设备,属于计算机技术领域。该方法包括:获取相邻两帧RGB图像,生成目标事件 |
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Bibliography: | Application Number: CN202410504373 |