.png){kind=icon}
返回
Through-the-Wall Human Motion Indication Using Sparsity-Driven Change Detection
.png){kind=icon}
PRE
AI
DOI：10.1109/TGRS.2012.2203310.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We consider sparsity-driven change detection (CD) for human motion indication in through-the-wall radar imaging and urban sensing applications. Stationary targets and clutter are removed via CD, which converts a populated scene into a sparse scene of a few human targets moving inside enclosed structures and behind walls. We establish appropriate CD models for various possible human motions, ranging from translational motions to sudden short movements of the limbs, head, and/or torso. These models permit scene reconstruction within the compressive sensing framework. Results based on laboratory experiments show that a sizable reduction in the data volume is achieved using the proposed approach without a degradation in system performance.
Keyword:
Change detection (CD)
compressive sensing (CS)
sparse reconstruction
through-the-wall radar
期刊
IF:
8.6
论文数:
2.1W
被引数:
10.7W
机构
引用论文
A new approach for classification of human gait based on time-frequency feature representations.png)
SIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
分享收藏Compressive sensing for subsurface imaging using ground penetrating radarSIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
分享收藏
查看更多内容