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Research map / Detection and segmentation / Tracking

Robust Estimation of Similarity Transformation for Visual Object Tracking

AAAI 2019 · Detection and segmentation › Tracking · approach: Foundation-model and correlation-filter tracking · 86 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace the original scale estimator with the log-polar estimatorECO · OTB-2013success: 67.8% -> 69.1%Helped
Replace the original scale estimator with the log-polar estimatorECO · OTB-2015success: 66.8% -> 67.3%Helped
Replace the original scale estimator with the log-polar estimatorSAMF · SAMF speed evaluationFPS: 20.95 -> 86.75 FPS; 4.14XHelped
Replace the original scale estimator with the log-polar estimatorECO · ECO speed evaluationFPS: 2.58 -> 9.88 FPS; 3.82XHelped
Add BCD optimization to the tracker (ablation)LDES · POT scale-attributed videosprecision: 0.6461 -> 0.7858Helped
Add BCD optimization to the tracker (ablation)LDES · POT scale-attributed videossuccess: 0.4724 -> 0.5298Helped
Add BCD optimization to the tracker (ablation)LDES · POT all 210 sequencesprecision: 0.4775 -> 0.5064Helped
Add BCD optimization to the tracker (ablation)LDES · POT occlusion-attributed videosprecision: 0.6679 -> 0.6277Hurt
Turn off BCD and estimate object status only once per frame (ablation)LDES · OTB benchmarkFPS: 20 fps -> 82 fpsHelped
Add BCD optimization (ablation)LDES · POT rotation-attributed videosprecision: 0.6461 -> 0.6898Mixed

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