Detection

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Detection Recognition of Alert Traffic Signs

• Chia-Hsiung (Eric) Chen
• Marcus Chen
• Tianshi Gao

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Problem Statement
Detection recognition of alert traffic signs
under different illumination, scale, and pose
conditions
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Approach Feature Design
Sub-Block
Template
Total features 14 x 15 x 8 1680
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Approach Training
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Approach Classification System Flow
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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 (lt 30 degree)
• Detection rate gt 95, FP lt 0.1
• Based on our current test set

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Results Demonstration
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Illumination Invariance
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Pose Invariance
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Scale Invariance
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Other
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Thank You!