Research map / Detection and segmentation / Tracking
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Jointly reason visibility fluents and object locations using the full C-AOG method | Human tracking · TIO Plaza | MOTA: 34.3% -> 46.0% | Helped |
| Jointly reason visibility fluents and object locations using the full C-AOG method | Human tracking · TIO ParkingLot | MOTA: 30.1% -> 38.6% | Helped |
| Add likelihood terms to the prior-only tracking model (ablation) | Our-full · TIO Plaza | MOTA: 31.9% -> 46.0% | Helped |
| Add likelihood terms to the prior-only tracking model (ablation) | Our-full · TIO ParkingLot | MOTA: 28.7% -> 38.6% | Helped |
| Add the vehicle data-likelihood term alongside the human likelihood and prior (ablation) | Our-full · TIO Plaza | MOTA: 32.5% -> 46.0% | Helped |
| Add the vehicle data-likelihood term alongside the human likelihood and prior (ablation) | Our-full · TIO ParkingLot | MOTA: 28.9% -> 38.6% | Helped |
Closest papers by meaning
- Beyond Accuracy: Tracking more like Human via Visual Search (NeurIPS 2024 · similarity 0.86)
- Learning to Evolve Scenes: Reasoning about Human Activities with Scene Graphs (NeurIPS 2026 · similarity 0.85)
- Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking (AAAI 2024 · similarity 0.84)
- HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding (CVPR 2024 · similarity 0.84)
- Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision (NeurIPS 2025 · similarity 0.84)
- VastTrack: Vast Category Visual Object Tracking (NeurIPS 2024 · similarity 0.83)
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