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Vehicle Detection Method using Haar-like Feature on Real Time System

Vehicle Detection Method using Haar-like Feature on Real Time System. Sungji Han, Youngjoon Han and Hernsoo Hahn. Introduction. HYPOTHESIS GENERATION Detecting the distant region using a shadow feature Detecting vertical edge using Haar-like feature Determining the candidate regions

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Vehicle Detection Method using Haar-like Feature on Real Time System

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  1. Vehicle Detection Method using Haar-like Feature on Real Time System • Sungji Han, Youngjoon Han and Hernsoo Hahn

  2. Introduction

  3. HYPOTHESIS GENERATION • Detecting the distant region using a shadow feature • Detecting vertical edge using Haar-like feature • Determining the candidate regions • HYPOTHESIS VERIFICATION • Verification using complexity of vehicles • Final verification using vehicle’s symmetric feature

  4. HYPOTHESIS GENERATION

  5. Detecting the distant region using a shadow feature • Brightness normalization

  6. Detecting the distant region using a shadow feature • Determining the shadow point in each height.

  7. Detecting vertical edge using Haar-like feature • Haar-Like Feature • Better than Sobel and Prewitt

  8. Detecting vertical edge using Haar-like feature • Compare to Sobel result

  9. Determining the candidate regions

  10. HYPOTHESIS VERIFICATION

  11. Verification using complexity of vehicles

  12. Final verification using vehicle’s symmetric feature

  13. EXPERIMENTAL RESULT & CONSIDERATION

  14. Result Images

  15. DETECTING RATE

  16. Error Results

  17. Conclusion • It is proper to apply it to the real-time system. • It has a limit to detect vehicles using single camera.

  18. Thank You

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