摘要： 为了降低视频传感器网络中的网络负载，减少能量消耗并降低时延，提出一种基于动态注意力的图像分层融合方法。通过对网络的结构化部署和节点间的区域映射，对视频监测区域进行逻辑划分。利用动态注意力模型对局部重点区域进行精度优化，实现多质量图像融合。实验结果证明了该方法的有效性。

关键词: 视频传感器网络, 图像融合, 动态注意力, 区域分割, 区域映射

Abstract: In order to reduce the network load, energy consumption and delay in video sensor network, this paper proposes a stratification image fusion method based on dynamic attention. The region of video monitoring is divided logically according to the structural deployment of network and inter-node regional mapping. Refined optimization of local-important-region is achieved by using dynamic attention module and multi-quality image fusion is implemented. Experimental results show that the method is effective.

Key words: video sensor network, image fusion, dynamic attention, region segmentation, region mapping

中图分类号: 

• TP393