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 Detection MethodsSobelPrewittHaar Time(ms) 223

14. Result Images

15. DETECTING RATE PositionSame LaneSide Lane Dedecting Rate(%)91.276.2

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