| 基于主动轮廓模型联合Camshift算法的目标跟踪方法 |
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| 引用本文： | 厉丹,田隽,肖理庆,孙金萍,程德强.基于主动轮廓模型联合Camshift算法的目标跟踪方法[J].电视技术,2015,39(17):101-104. |
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| 作者姓名： | 厉丹 田隽 肖理庆 孙金萍 程德强 |
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| 作者单位： | 徐州工程学院,徐州工程学院,徐州工程学院,徐州工程学院,中国矿业大学信电学院; |
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| 基金项目： | 住房城乡建设部科学技术计划项目(2014-K5-027)；国家自然科学基金资助项目(51204175,U1261105)。 |
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| 摘 要： | 针对城市道路交通环境中传统Camshift算法跟踪窗不能描述运动目标轮廓以及易受近似颜色干扰跟踪丢失的问题,提出基于Snake主动轮廓模型联合Chamshift区域模型的目标跟踪方法,算法将原Camshift算法中使用的HSV颜色特征和LTP纹理特征融合,增加了抗干扰能力,同时利用多尺度小波改进的Snake主动轮廓模型进一步对物体轮廓检测,去除阴影区域,更为直观的描述了物体的轮廓。实验证明,新方法在城市道路交通监控中有良好的应用前景。
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| 关 键 词： | 主动轮廓模型 Camshift 交通 目标跟踪 |
| 收稿时间： | 2015/2/22 0:00:00 |
| 修稿时间： | 2015/4/24 0:00:00 |
Target Tracking Method Based on Active Contour Models Combined Camshift Algorithm |
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| Li Dan,Tian Jun,Xiao Liqing,Sun Jinping and Cheng Deqiang.Target Tracking Method Based on Active Contour Models Combined Camshift Algorithm[J].Tv Engineering,2015,39(17):101-104. |
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| Authors: | Li Dan Tian Jun Xiao Liqing Sun Jinping and Cheng Deqiang |
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| Affiliation: | Xuzhou Institute of Technology,Xuzhou Institute of Technology,Xuzhou Institute of Technology,Xuzhou Institute of Technology,China University of Mining and Technology |
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| Abstract: | In the urban road traffic environment, the traditional Camshift algorithm tracking window can not describe the outline of the moving target tracking and exists the problem of the approximate color interference makes tracking missing. The paper proposes a target tracking method jointed with Snake active contour model and Chamshift regional model, it combines HSV color feature of original Camshift algorithm with LTP texture. Noise immunity is increased and multi-scale wavelet is used to improve the Snake active contour model. New method can emove the shadow area and contours of the object can be better described. Experimental results show that the new method has a good prospect in urban road traffic monitoring. |
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| Keywords: | active contour model Camshift traffic object tracking |
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