1. (Hopefully) Real-time Multi Object Tracking
Mooyeol Baek
W. Choi. Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor. In ICCV, 2015.

2. Contents My ongoing research about MOT
W. Choi. Near-Online Multi-target Tracking with Aggrega ted Local Flow Descriptor. In ICCV, 2015.
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3. Concerns on MOT
Multi Object Tracking = Tracking-by-Detection + Association (+ Smoothing) ?
Detection results are not time-consistent.
Most algorithms are slow.
Multi Object Tracking using Tracking
Quite natural approach
Practical
(Hopefully) Temporally coherent
Extendable to temporally sparser detection
CV lab. seminar

4. Diagram
Source
𝑡−2
𝑡−1 𝑡
Sink
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5. Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor
W. Choi. ICCV 2015.
CV lab. seminar

6. Aggregated Local Flow Descriptor
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7. Aggregated Local Flow Descriptor
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8. Procedure 1. Inputs at 𝑡 2. Hypotheses Generation 3. CRF Inference
4. Outputs at 𝑡
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9. Details
Individual targets
Inter-targets
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10. Details Individual targets Unary(prev.target<>detections)
High-order (Long-term)
Pairwise(<>detections)

11. Details Inter-targets Overlap (2*IoU2) between targets
Avoid choosing same detections

12. Procedure 1. Inputs at 𝑡 2. Hypotheses Generation 3. CRF Inference
4. Outputs at 𝑡
CV lab. seminar

13. Evaluations (KITTI dataset)
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14. Evaluations (MOT dataset)
Computation Time 2.5GHz, 16 cores
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15. Thank you!
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