Moving object detection by marker-extracted watershed based on motion contour
She Qing-sha · Dalian Ligong Daxue xuebao · 2014
Aiming at the problem of empty caused by using difference multiplication to a moving object,a new algorithm is introduced based on motion region contour and adaptive marker-constrained watershed to realize the integrity of bigger moving object detection on a mobile robot platform.Firstly,scaling and translating of background caused by the mobile robot are matched using the phase correlation and Fourier-Mellin transform algorithm.Secondly,the foreground and background markers are extracted based on motion region contour and layered projection method.The motion region contour is detected by multiplying the two difference images of three frames.And then,through the combination of the open,close operation and projection method,the foreground and background marker templates are generated.These marker templates are divided into several layers,and the foreground and background markers are extracted via connecting the boundary points of each layer in a certain way,these boundary points are gained by horizontal projection.Finally,based on the reconstructed gradient image,the motion region is completely segmented using the markerconstrained watershed algorithm.The experimental results demonstrate the effectiveness of the algorithm for segment of ordered and dis-ordered moving objects and its real-time performance.