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:
谭 励;杨明华;曹元大;成保栋. 视频传感器网络中基于动态注意力的图像融合[J]. 计算机工程, 2010, 36(2): 214-216.
TAN Li; YANG Ming-hua;CAO Yuan-da; CHENG Bao-dong. Image Fusion Based on Dynamic Attention in Video Sensor Network[J]. Computer Engineering, 2010, 36(2): 214-216.