Detection & Recognition of Alert Traffic Signs

1. Detection & Recognition of Alert Traffic Signs Chia-Hsiung (Eric) Chen Marcus Chen Tianshi Gao

2. Problem Statement Detection & recognition of alert traffic signs under different illumination, scale, and pose conditions

3. Approach: Feature Design Sub-Block Template Total features = 14 x 15 x 8 = 1680

4. Approach: Training

5. Approach: Classification & System Flow

6. Experimental Result • Smallest detectable size • Stop: 20x20 • Yield: 14x14 • No left turn: 14x14 • Do no enter: 20x20 • Processing time for 640x480 image: ~30sec • Detect signs under diff/extreme illumination cond. • Scale, camera, pose invariant(< 30 degree) • Detection rate > 95%, FP < 0.1% • Based on our current test set

7. Results Demonstration

8. Illumination Invariance

20. Pose Invariance

41. Scale Invariance