| 基于Camshift和Kalman滤波结合的改进多目标跟踪算法 |
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| 引用本文： | 吴良健,况璐,邓庆林,刘海华.基于Camshift和Kalman滤波结合的改进多目标跟踪算法[J].现代科学仪器,2010(1):29-33,38. |
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| 作者姓名： | 吴良健 况璐 邓庆林 刘海华 |
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| 作者单位： | 中南民族大学生物医学工程学院,武汉,430074 |
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| 基金项目： | 国家自然科学基金资助项目(6097218) |
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| 摘 要： | Camshift算法具有很好的实时性,但是存在遇到大面积与目标颜色相近的背景干扰、目标被严重遮挡时跟踪失效,只能对单目标进行跟踪等问题。针对这些问题,提出了Camshift结合Kalman滤波的改进算法,采用改进算法的跟踪器对每个检测出来的目标进行分别跟踪,从而实现多目标跟踪。实验表明本文提出的改进算法能有效地克服以上问题,并且能达到实时性要求。
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| 关 键 词： | 目标跟踪C amshift算法K alman滤波R OI帧间差法 |
Improved Tracking Algorithm for Multiple Targets Based on Camshift Algorithm Combined with Kalman Filter |
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| Wu Liangjian,Kuang Lu,Deng Qinglin,Liu Haihua.Improved Tracking Algorithm for Multiple Targets Based on Camshift Algorithm Combined with Kalman Filter[J].Modern Scientific Instruments,2010(1):29-33,38. |
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| Authors: | Wu Liangjian Kuang Lu Deng Qinglin Liu Haihua |
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| Affiliation: | Wu Liangjian,Kuang Lu,Deng Qinglin,Liu Haihua(Biomedical Engineering,South Central University for Nationalities,Wuhan,430074) |
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| Abstract: | Camshift algorithm has the advantage of better real-time,but the algorithm will track failure when large-area background color is similar to object object is occlusioned seriously,and is limited tracking single target,etc.Aim-ing at these problems,this paper presents the improved method of multiple targets tracking algorithm based on Camshift algorithm combined with Kalman fi lter.The tracker of the improved method was used to track each detected target,it can achieve tracking of multi-targets.The results s... |
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| Keywords: | Object tracking Canshift algorithm Kalman filter ROI difference in frame |
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