| 基于Camshift与Kalman的目标跟踪算法 |
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| 引用本文： | 伍友龙,朱志勇.基于Camshift与Kalman的目标跟踪算法[J].微计算机信息,2010(9). |
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| 作者姓名： | 伍友龙 朱志勇 |
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| 作者单位： | 湖南工学院计算机科学系;中南大学信息科学与工程学院;长沙学院; |
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| 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。
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| 关 键 词： | 目标跟踪 Camshift算法 Kalman滤波 目标遮挡 |
Object Tracking Based on Camshift and Kalman Filter |
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| WU You-long ZHU Zhi-yong.Object Tracking Based on Camshift and Kalman Filter[J].Control & Automation,2010(9). |
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| Authors: | WU You-long ZHU Zhi-yong |
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| Affiliation: | WU You-long ZHU Zhi-yong(Department of Computer Science,Hunan Institute of Technology,Hengyang 421002,China)(School of Information Science , Engineering,Central South University,Changsha 410083,China)(Changsha University,Changsha 410003,China) |
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| Abstract: | 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. |
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| Keywords: | Object Tracking Camshift Algorithm Kalman Filter Object Occlusion |
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