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Detection & Recognition of Alert Traffic Signs

Detection & Recognition of Alert Traffic Signs. Chia-Hsiung (Eric) Chen Marcus Chen Tianshi Gao. Pro blem Statement. Detection & recognition of alert traffic signs under different illumination , scale , and pose conditions. Approach: Feature Design. Sub-Block. Template.

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Detection & Recognition of Alert Traffic Signs

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  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

  9. Pose Invariance

  10. Scale Invariance

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