| 基于感兴趣区域的运动人体跟踪 |
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| 引用本文： | 林庆,史振杰,詹永照,徐剑晖.基于感兴趣区域的运动人体跟踪[J].江苏大学学报(自然科学版),2010,31(2). |
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| 作者姓名： | 林庆 史振杰 詹永照 徐剑晖 |
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| 作者单位： | 1. 江苏大学,计算机科学与通信工程学院,江苏,镇江,212013;南京理工大学,计算机科学与技术学院,江苏,南京,210094
2. 江苏大学,计算机科学与通信工程学院,江苏,镇江,212013 |
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| 基金项目： | 国家自然科学基金资助项目(60673190) |
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| 摘 要： | 为改善人体在跟踪过程中部分遮挡情况下的表现,提出了一种具有鲁棒性的联合跟踪方法.先利用显著图算法从人体区域中获取基于特征的感兴趣区域(ROI),然后用所提出方法对其进行跟踪.跟踪方法结合了差值平方和准则与基于颜色的均值漂移两种跟踪器的优点,使用卡尔曼滤波器进行状态估计,同时将由显著图算法产生的联合显著点作为局部多区域代替全局区域对人体感兴趣区域进行跟踪.试验结果表明,所提出的跟踪方法在人体部分被遮挡情况下的表现有了明显的改善,适合实时跟踪运动人体,具有很好的鲁棒性.
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| 关 键 词： | 目标跟踪 模板匹配 目标自动识别 感兴趣区域 均值漂移 图像分割 联合显著图 |
Tracking regions of interest in moving people |
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| Lin Qing,Shi Zhenjie,Zhan Yongzhao,Xu Jianhui.Tracking regions of interest in moving people[J].Journal of Jiangsu University:Natural Science Edition,2010,31(2). |
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| Authors: | Lin Qing Shi Zhenjie Zhan Yongzhao Xu Jianhui |
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| Institution: | 1.School of Computer Science and Telecommunications Engineering/a>;Jiangsu University/a>;Zhenjiang/a>;Jiangsu 212013/a>;China/a>;2.School of Computer Science and Technology/a>;Nanjing University of Science and Technology/a>;Nanjing/a>;Jiangsu 210094/a>;China |
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| Abstract: | In order to improve the performance in tracking moving people when they were partially occluded,a new joint tracker of good robustness was proposed.The regions of interest(ROI) from human motion area were firstly obtained by an improved saliency map algorithm,and then ROI was tracked by the method proposed.The advantages of sum of squared differences(SSD) and color-based Mean-Shift(MS) tracker were adopted in the joint tracker.Kalman filter was used to evaluate the state.Simultaneously,the joint points whic... |
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| Keywords: | target tracking template matching automatic target recognition regions of interest Mean-Shift image segmentation joint saliency map |
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