| 基于一致性特征点匹配的目标跟踪算法实现 |
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| 引用本文： | 罗子安,毛征,孟灿,刘松松.基于一致性特征点匹配的目标跟踪算法实现[J].国外电子测量技术,2016,35(9):45-49. |
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| 作者姓名： | 罗子安 毛征 孟灿 刘松松 |
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| 作者单位： | 北京工业大学电子信息与控制工程学院 北京 100124,北京工业大学电子信息与控制工程学院 北京 100124,北京工业大学电子信息与控制工程学院 北京 100124,北京工业大学电子信息与控制工程学院 北京 100124 |
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| 摘 要： | 在复杂背景环境下针对自由模型目标在随机速度时的跟踪技术是计算机视觉研究领域的一项重要课题。其难点在于在复杂背景和运动方式中如何准确且合理的提取既定目标的特征点。本文提出一种基于一致性特征点匹配跟踪算法，通过长效自由模型目标跟踪，实现对于地面刚性目标物体在随机速度时，通过光线变化区域、部分遮挡区域、目标自身转弯或旋转、采集设备对目标尺度缩放情况下的稳定跟踪问题。该算法经数据集测试结果表明，其能够在上述情况下，实现对标定目标的稳定跟踪，并具有一定的实时性。
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| 关 键 词： | 目标跟踪 一致性特征点 长效自由模型 |
Based on consensus feature point matching of object tracking algorithm |
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| Affiliation: | College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China,College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China,College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China and College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China |
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| Abstract: | In the complex background environment, the tracking technique for the target of model free model is an important subject in the field of computer vision research. The difficulty lies in how to accurately and reasonably extract the keypoints of the set target in the complex background and the movement way. In this paper, a consistent feature points based on matching tracking algorithm, through long term model free model of target tracking, the rigid target objects on the ground in the random velocity, through light change area, partial occlusion target area, object turning or rotating, acquisition device on the target scaling case stabilization and tracking problems. The test results show that the algorithm can achieve the stable tracking of the calibration target in the above circumstances, and it has a certain real time performance. |
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