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| 一种基于蝙蝠算法的视觉跟踪方法 | |
| 引用本文： | 高明亮,尹丽菊,蒋俊,申晋.一种基于蝙蝠算法的视觉跟踪方法[J].北京邮电大学学报,2016,39(5):72-77. |
| 作者姓名： | 高明亮 尹丽菊 蒋俊 申晋 |
| 作者单位： | 1. 山东理工大学 电气与电子工程学院, 山东 淄博 255000; 2. 西南石油大学 计算机科学学院, 成都 610500 |
| 基金项目： | 国家自然科学基金项目(61601266)，山东理工大学青年教师支持计划项目，山东省自然科学基金联合专项项目(ZR2015FL034) |
| 摘 要： | 提出了一种基于蝙蝠算法的目标跟踪新方法.首先描述了基于蝙蝠算法的目标跟踪流程，在此基础上研究了蝙蝠算法的迭代终止条件、蝙蝠种群数、脉冲频率因子和脉冲音强衰减因子对跟踪性能的影响，并通过实验确定了以上参数，最后与粒子滤波、均值漂移和粒子群优化3种跟踪算法进行了比较.实验结果表明，基于蝙蝠算法的视频目标跟踪方法的跟踪效果优于其他3种算法. |
| 关 键 词： | 视觉跟踪 蝙蝠算法 迭代终止条件 参数确定 |
| 收稿时间： | 2016-03-31 |
Visual Tracking Using Bat-Inspired Algorithm |
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| GAO Ming-liang,YIN Li-ju,JIANG Jun,SHEN Jin.Visual Tracking Using Bat-Inspired Algorithm[J].Journal of Beijing University of Posts and Telecommunications,2016,39(5):72-77. | |
| Authors: | GAO Ming-liang YIN Li-ju JIANG Jun SHEN Jin |
| Affiliation: | 1. College of Electrical and Electronic Engineering, Shandong University of Technology, Shandong Zibo 255000, China; 2. School of Computer Science, Southwest Petroleum University, Chengdu 610500, China |
| Abstract: | A new visual tracking method based on bat algorithm ( BA) was presented, in which, the BA-based tracking architecture is proposed. Then, the impact of the iterative termination condition, popula-tion size, pulse frequency increasing coefficient and pulse amplitude attenuation coefficient on the track-ing performance are studied and these parameters are determined. To demonstrate the tracking ability of the proposed tracker, comparative studies of tracking accuracy and speed of the BA-based tracker with three representative trackers, namely, particle filter, meanshift, particle swarm optimization are given. Comparative results show that the proposed algorithm outperforms the other three trackers. |
| Keywords: | visual tracking bat algorithm iterative termination condition parameters determination |
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