Pedestrian Detection of Integrating BS Based on Quadratic Reconstruction and IE Marker Watershed
Wang Ai-l · Journal of Transportation Systems Engineering and Information Technology · 2014
Pedestrian detecting is an important part of Intelligent Transportation Systems(ITS) application.To accurately refine traffic information, the paper proposes pedestrian detection method of Integrating background subtraction(BS) based on quadratic reconstruction and internal and external(IE) marker watershed.First, the morphological quadratic reconstruction is used to denoise and filter, and the BS is carried to highlight prospect and sharpen background. Then, the internal mark is extracted according to the integrated information of gray image local maximum value and neighborhood value, theQuasi-Euclideantransformation is conducted to extract external marks; Finally, the gradient image is modified and watershed transform is employed to segment gradient image corrected for which extracts movement pedestrians. The results shows that this method significantly eliminates motion noise, targets are completely detected and the over-segmentation problem is effectively remitted. Furthermore, the pedestrian detection in dynamic traffic scene has achieved better results.