Research map / Detection and segmentation / Open-set and few-shot detection
Minimum Delay Moving Object Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the proposed Quickest Detection method with multiframe motion segmentation | Moving object detection on the Motion Detection Dataset · Motion Detection Dataset | average detection delay | Helped |
| Use the likelihood-ratio statistic instead of the fast residual statistic (ablation) | Proposed moving object detector · Motion Detection Dataset | average detection delay | Helped |
| Use the likelihood-ratio statistic rather than thresholding the fast residual statistic (ablation) | Proposed moving object detector · Motion Detection Dataset | average detection delay | Helped |
| Use the standard-deviation test to skip unlikely segmentation computations (ablation) | Fast proposed detector · Motion Detection Dataset | average detection delay | No clear effect |
| Skip gradient-descent refinement of the multiframe segmentation (ablation) | Proposed moving object detector · Motion Detection Dataset, Flim = 0.5 and Flim = 0.7 | average detection delay | Hurt |
| Use multiframe motion segmentation rather than the compared segmentation approaches | Moving object detection · Motion Detection Dataset | segmentation F-measure at detection time | Helped |
Closest papers by meaning
- Beyond Local Search: Tracking Objects Everywhere With Instance-Specific Proposals (CVPR 2016 · similarity 0.87)
- Detect or Track: Towards Cost-Effective Video Object Detection/Tracking (AAAI 2019 · similarity 0.85)
- TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation (NeurIPS 2024 · similarity 0.84)
- DiffusionTrack: Diffusion Model for Multi-Object Tracking (AAAI 2024 · similarity 0.84)
- Temporal Coherent Object Flow for Multi-Object Tracking (AAAI 2025 · similarity 0.84)
- Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision (NeurIPS 2025 · similarity 0.83)
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