摘要
针对目标跟踪复杂的难点,提出了一种比较实用的跟踪方法。采用基于颜色概率分布的Camshift算法进行目标跟踪的同时,引入卡尔曼滤波,并给出模型参数。在目标发生遮挡时,使用卡尔曼滤波对目标运动状态进行估计。实验表明,算法能够对目标进行持续、稳定的跟踪。
Aiming at the difficulties of object tracking, we present a practical tracking method：while using Camshift algorithm based color probability, importing Kalman filter.During objects occlusion, we use Kalman filter to estimate the state of occlusive objects.The experiments prove the algorithm is practical to tracking objects stably.
出处
《微计算机信息》
2010年第9期23-24,51,共3页
Control & Automation
