| Popis: |
There have been many studies that developed approaches for real-time lane and vehicle detection. However, the majority of implementations that have been made with these approaches are focused on cars. On this paper, the existing approach of object detection is implemented for motorcycle detection. Lane detection is also incorporated for the validation of object's position. We employ Haar cascade classifier approach for motorcycle detection and edge detection approach for lane detection. In order to refine the detection result, angle-based elimination is applied to lines in lane detection. For the refinement of motorcycle detection, object candidates are eliminated by object's position on lane, frequency of occurrence, and variation of horizontal edges. Experimental results show that these approaches followed by the refinement method results provide better precision of motorcycle detection. This implementation is also able to operate in real-time. |
