| 引用本文: | 吴建宅,陈芳林,胡德文.基于检测的人体跟踪算法.[J].国防科技大学学报,2014,36(2):113-117.[点击复制] |
| WU Jianzhai,CHEN Fanglin,HU Dewen.A detection-based person tracking algorithm[J].Journal of National University of Defense Technology,2014,36(2):113-117[点击复制] |
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| 基于检测的人体跟踪算法 |
| 吴建宅, 陈芳林, 胡德文 |
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(国防科技大学 机电工程与自动化学院，湖南 长沙 410073)
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| 摘要: |
| 传统的目标跟踪算法需要人为标定跟踪区域，且受到漂移问题的影响。为了解决这些困难，针对人体跟踪问题，提出了一种新的基于检测的跟踪算法。为了减少漏跟踪，使用了多个检测算子，用来定位多个身体部位，将其检测结果映射到一个相同的身体区域。为了适应快速运动的目标，使用KLT跟踪和凝聚聚类将检测窗口连接起来形成人体轨迹。实验结果表明：使用多个检测算子明显地提高了跟踪性能；KLT跟踪对于快速运动目标具有适应能力。该算法基本满足实时性。 |
| 关键词: 目标跟踪 人体检测 KLT跟踪 凝聚聚类 实时性 |
| DOI：10.11887/j.cn.201402019 |
| 投稿日期：2013-08-01 |
| 基金项目:国家重点基础研究发展计划项目（2013CB329401）；国家自然科学基金资助项目（61203263） |
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| A detection-based person tracking algorithm |
| WU Jianzhai, CHEN Fanglin, HU Dewen |
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(College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| The traditional object tracking algorithms require manually annotated tracking area, and suffer from the problem of drift. To address these difficulties, the problem of person tracking was focused on, and a new detection-based tracking algorithm was proposed. To reduce failure in tracking, multiple detectors to locate multiple body parts were employed, and then their detection results were mapped to a common body area. To adapt for the quickly moving objects, the KLT tracker and agglomerative clustering for linking the detection windows to form person body trajectories was employed. The experimental results reveal that using multiple detectors improves the tracking performance significantly, and the KLT tracker is adaptable for quickly moving objects. This algorithm is nearly real-time. |
| Keywords: object tracking person detection KLT tracker agglomerative clustering real-time |
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