A Spatiotemporal Multiple Moving Objects Segmentation and Tracking with Level Set
基于水平集的多运动目标时空分割与跟踪

Aimed at the moving objects segmentation problem with a moving background,a method of segmentation and tracking of moving objects was proposed. Firstly,this method built up a spatio-temporal energy function based on the optical flow and the motion model of background.Then,the segmentation,tracking and estimation of the motion of background were processed using the energy function.Minimization of the energy function led to the optimal segmentation of moving objects in spatio-temporal domain by curve evolution.The level sets PDEs(Partial Differential Equations) approach was used for the evolvement of the curves in spatio-temporal domain.This algorithm and its numerical implementation were verified on real image sequences.Experimental results show that the method allows the segmentation and tracking of multiple motion with estimating simultaneously the motion of background.