Research map / Detection and segmentation / Tracking
Robust Visual Tracking via Local-Global Correlation Filter
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add local-global structure and temporal consistency to KCF | KCF · OTB15 | precision score: 0.693 -> 0.782 | Helped |
| add local-global structure and temporal consistency to KCF | KCF · OTB15 | success score: 0.476 -> 0.585 | Helped |
| use LGCF instead of MEEM | MEEM · OTB15 | precision score: 0.781 -> 0.782 | Helped |
| use LGCF instead of MEEM | MEEM · OTB15 occlusion | precision score: 0.741 -> 0.719 | Hurt |
| use LGCF instead of MEEM | MEEM · OTB15 low resolution | precision score: 0.605 -> 0.576 | Hurt |
Closest papers by meaning
- Structural Correlation Filter for Robust Visual Tracking (CVPR 2016 · similarity 0.93)
- Robust Estimation of Similarity Transformation for Visual Object Tracking (AAAI 2019 · similarity 0.90)
- Visual Tracking via Adaptive Spatially-Regularized Correlation Filters (CVPR 2019 · similarity 0.89)
- Multi-Cue Correlation Filters for Robust Visual Tracking (CVPR 2018 · similarity 0.88)
- Focusing on Tracks for Online Multi-Object Tracking (CVPR 2025 · similarity 0.85)
- DiffusionTrack: Diffusion Model for Multi-Object Tracking (AAAI 2024 · similarity 0.84)
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