CIOMP OpenIR
Color Feature-Based Object Tracking through Particle Swarm Optimization with Improved Inertia Weight
Guo, S. Q.; Zhang, T.; Song, Y. L.; Qian, F.
2018
发表期刊Sensors
ISSN1424-8220
卷号18期号:4页码:17
摘要This paper presents a particle swarm tracking algorithm with improved inertia weight based on color features. The weighted color histogram is used as the target feature to reduce the contribution of target edge pixels in the target feature, which makes the algorithm insensitive to the target non-rigid deformation, scale variation, and rotation. Meanwhile, the influence of partial obstruction on the description of target features is reduced. The particle swarm optimization algorithm can complete the multi-peak search, which can cope well with the object occlusion tracking problem. This means that the target is located precisely where the similarity function appears multi-peak. When the particle swarm optimization algorithm is applied to the object tracking, the inertia weight adjustment mechanism has some limitations. This paper presents an improved method. The concept of particle maturity is introduced to improve the inertia weight adjustment mechanism, which could adjust the inertia weight in time according to the different states of each particle in each generation. Experimental results show that our algorithm achieves state-of-the-art performance in a wide range of scenarios.
关键词object tracking particle swarm optimization particle maturity inertia weight color feature Chemistry Electrochemistry Instruments & Instrumentation
DOI10.3390/s18041292
收录类别SCI ; EI
引用统计
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/60929
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Guo, S. Q.,Zhang, T.,Song, Y. L.,et al. Color Feature-Based Object Tracking through Particle Swarm Optimization with Improved Inertia Weight[J]. Sensors,2018,18(4):17.
APA Guo, S. Q.,Zhang, T.,Song, Y. L.,&Qian, F..(2018).Color Feature-Based Object Tracking through Particle Swarm Optimization with Improved Inertia Weight.Sensors,18(4),17.
MLA Guo, S. Q.,et al."Color Feature-Based Object Tracking through Particle Swarm Optimization with Improved Inertia Weight".Sensors 18.4(2018):17.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Color Feature-Based (5990KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Guo, S. Q.]的文章
[Zhang, T.]的文章
[Song, Y. L.]的文章
百度学术
百度学术中相似的文章
[Guo, S. Q.]的文章
[Zhang, T.]的文章
[Song, Y. L.]的文章
必应学术
必应学术中相似的文章
[Guo, S. Q.]的文章
[Zhang, T.]的文章
[Song, Y. L.]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Color Feature-Based Object Tracking through Pa.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。