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

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