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Propagate and Calibrate: Real-Time Passive Non-Line-of-Sight Tracking

CVPR 2023 · Detection and segmentation › Tracking · approach: Transformer-based video object tracking · 12 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use PAC-Net's alternating difference-frame propagation and raw-frame calibration instead of a CNN baselinepassive NLOS tracking · Real-shotRMS_x (× 10^-2): 2.60 -> 1.46Helped
Use PAC-Net's alternating difference-frame propagation and raw-frame calibration instead of a CNN baselinepassive NLOS tracking · SyntheticRMS_x (× 10^-2): 22.0 -> 9.70Helped
Add difference-frame Propagation-Cell to raw-frame recurrent tracking (ablation)PAC-Net · Real-shotRMS_x (× 10^-2): 1.65 -> 1.46Helped
Add difference-frame Propagation-Cell to raw-frame recurrent tracking (ablation)PAC-Net · SyntheticRMS_x (× 10^-2): 15.5 -> 9.70Helped
Add raw-frame Calibration-Cell to difference-frame tracking (ablation)PAC-Net · Real-shotRMS_x (× 10^-2): 4.03 -> 1.46Helped
Add raw-frame Calibration-Cell to difference-frame tracking (ablation)PAC-Net · SyntheticRMS_x (× 10^-2): 11.3 -> 9.70Helped
Add Warm-up Stage (W=32) (ablation)PAC-Net · Real-shotRMS_x (× 10^-2): 1.46 -> 1.37Helped
Add Warm-up Stage (W=32) (ablation)PAC-Net · SyntheticRMS_x (× 10^-2): 9.70 -> 8.78Helped
Add Warm-up Stage (W=32) (ablation)PAC-Net · Real-shotArea: 0.004347 -> 0.004388Hurt
Add Warm-up Stage (W=32) (ablation)PAC-Net · SyntheticPCM: 2.225 -> 2.268Hurt
Use recurrent tracking rather than framewise CNN predictionpassive NLOS tracking · Real-shotDTW: 0.8559 -> 0.3367Helped

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