A template-based, non-neural radar pipeline combining corner detection, active contour segmentation, and Mapper point-cloud matching recognizes 12 through-the-wall activities with 73.6 percent simulated and 52.9 percent measured accuracy on range-time maps.
Through-the-wall human motion indication using sparsity-driven change detection,
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Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks
A template-based, non-neural radar pipeline combining corner detection, active contour segmentation, and Mapper point-cloud matching recognizes 12 through-the-wall activities with 73.6 percent simulated and 52.9 percent measured accuracy on range-time maps.