| 基于光流和压缩感知的目标跟踪 |
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| 引用本文：刘丹，窦勇.基于光流和压缩感知的目标跟踪[J].计算技术与自动化,2013,(4):84-87 |
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| 中文摘要:由于姿态变化，光照改变，遮挡以及运动模糊等因素，开发有效和实时的目标跟踪算法是一个有挑战性的任务。因此，在复杂的实际环境中使用单一的检测与跟踪算法已无法满足目标跟踪的实用性要求。本文基于光流法和压缩跟踪算法，提出一种融合跟踪、在线学习以及检测技术的目标跟踪方法。实验结果表明，该方法提高了跟踪精度，而且具有较强的鲁棒性。 |
| 中文关键词:光流法 压缩感知 目标跟踪 |
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| Object Tracking Based on Optical Flow and Compressive Sensing |
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| Abstract:It is a challenging task to develop effective and efficient alogrithm for robust object tracking due to factors such as pose variation, illumination change, occlusion, and motion blur. Therefore, using a single detection and tracking algorithm has been unable to meet the practical requirements of target tracking in a complex environment. Based on the optical flow and compressive tracking alogrithm, this paper proposes a tracking method combine with tracking, online learning and detecting technology .The experimental results show that the proposed method effectively improves the accuracy and robustness of tracking. |
| keywords:optical flow compressive sensing object tracking |
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