| 基于序贯检测机制的双目视觉运动目标跟踪与定位方法 |
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| 引用本文： | 邱雪娜,刘士荣.基于序贯检测机制的双目视觉运动目标跟踪与定位方法[J].机器人,2011,33(2):181-190. |
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| 作者姓名： | 邱雪娜 刘士荣 |
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| 作者单位： | 1. 华东理工大学自动化研究所,上海,200237;杭州电子科技大学自动化研究所,浙江,杭州,310018;宁波工程学院电子与信息工程学院,浙江,宁波,315216
2. 杭州电子科技大学自动化研究所,浙江,杭州,310018 |
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| 基金项目： | 国家自然科学基金资助项目，浙江省科技计划资助项目，浙江省自然科学基金资助项目，浙江省教育厅科研项目，浙江省宁波市自然科学基金资助项目 |
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| 摘 要： | 为了提高复杂环境下的目标跟踪精度,提出了一种基于序贯检测机制的双目视觉运动目标跟踪方法.该方法在序贯检测机制下,将粒子滤波、稀疏场主动轮廓和CamShift等方法结合.首先用基于颜色特征的粒子滤波估计最优跟踪窗口;通过跟踪窗口和目标的相似度决定足否采用稀疏场主动轮廓方法,然后由目标轮廓和目标的相似度决定是否需要CamS...
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| 关 键 词： | 目标跟踪 序贯检测机制 双目视觉 粒子滤波 稀疏场主动轮廓 |
Moving Objects Tracking and Localization with Binocular Vision Based on Sequential Detection Mechanism |
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| QIU Xuena,LIU Shirong.Moving Objects Tracking and Localization with Binocular Vision Based on Sequential Detection Mechanism[J].Robot,2011,33(2):181-190. |
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| Authors: | QIU Xuena LIU Shirong |
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| Affiliation: | QIU Xuena~(1,2,3),LIU Shirong~2 (1.Institute of Automation,East China University of Science and Technology,Shanghai 200237,China,2.Institute of Automation,Hangzhou Dianzi University,Hangzhou 310018,3.College of Electronic and Information Engineering,Ningbo University of Technology,Ningbo 315016,China) |
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| Abstract: | To improve the accuracy of object tracking in a complex environment,a binocular vision moving object tracking method is presented based on sequential detection scheme.The proposed method integrates particle filter,sparse field active contour and CamShift algorithms under sequential detection mechanism.Firstly,color-feature-based particle filter is adopted to estimate optimal tracking window.Then the similarity between object and the tracking windows determines whether sparse field active contour algorithm s... |
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| Keywords: | object tracking sequential detection mechanism(SDM) binocular vision particle filter(PF) sparse field active contour(SFAC) |
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