【摘要】 针对复杂的自然环境,提出了一种能自动初始化目标模型,并能处理目标遮掩问题的多目标实时跟踪算法。该算法在精度和效率方面改进了Mean Shift算法,并结合扩展卡尔曼滤波器对目标进行运动建模,实现了对多目标的实时稳健跟踪。此外,为了自动初始化待跟踪目标模型,提出了一种三层目标链交互结构。该结构能够有效的去除由摄像机抖动以及背景噪声产生的伪目标。在复杂的自然环境下对算法进行了大量的多目标跟踪实验,验证了算法的实时有效性。更多还原

【Abstract】 A real-time multi-target tracking method is presented in this paper,which can automatically initialise the models of tar- gets and can solve the problems of occlusions,especially dealing with the tracking under complex natural environment.This method im- proves the classic Mean Shift method in aspects of precision and effieience,and models the motion of targets by the Extended Kalman Fi- ter,to stably track multiple targets.Moreover,to initialize the target models automatically,a Tri-MotionRegion-List Interaction structure is proposed,which can efficiently erase out the false targets brought by the camera dithering and background noises.A lot of experiment re- sults under complex natural environments show that this method is efficient and performing in real-time.更多还原