Real-time robust tracking for motion blur and fast motion via correlation filters
文献类型:期刊论文
作者 | Xu LY(许凌云)![]() ![]() ![]() ![]() |
刊名 | SENSORS
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出版日期 | 2016 |
卷号 | 16期号:9页码:1-14 |
关键词 | Visual Tracking Motion Blur Fast Motion Correlation Filter |
ISSN号 | 1424-8220 |
产权排序 | 1 |
英文摘要 | Visual tracking has extensive applications in intelligent monitoring and guidance systems. Among state-of-the-art tracking algorithms, Correlation Filter methods perform favorably in robustness, accuracy and speed. However, it also has shortcomings when dealing with pervasive target scale variation, motion blur and fast motion. In this paper we proposed a new real-time robust scheme based on Kernelized Correlation Filter (KCF) to significantly improve performance on motion blur and fast motion. By fusing KCF and STC trackers, our algorithm also solve the estimation of scale variation in many scenarios. We theoretically analyze the problem for CFs towards motions and utilize the point sharpness function of the target patch to evaluate the motion state of target. Then we set up an efficient scheme to handle the motion and scale variation without much time consuming. Our algorithm preserves the properties of KCF besides the ability to handle special scenarios. In the end extensive experimental results on benchmark of VOT datasets show our algorithm performs advantageously competed with the top-rank trackers. |
WOS关键词 | VISUAL TRACKING |
WOS研究方向 | Chemistry ; Electrochemistry ; Instruments & Instrumentation |
语种 | 英语 |
WOS记录号 | WOS:000385527700104 |
源URL | [http://ir.sia.cn/handle/173321/19200] ![]() |
专题 | 沈阳自动化研究所_光电信息技术研究室 |
通讯作者 | Xu LY(许凌云) |
作者单位 | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China 3.University of Chinese Academy of Science, Beijing 100049, China |
推荐引用方式 GB/T 7714 | Xu LY,Luo HB,Hui B,et al. Real-time robust tracking for motion blur and fast motion via correlation filters[J]. SENSORS,2016,16(9):1-14. |
APA | Xu LY,Luo HB,Hui B,&Chang Z.(2016).Real-time robust tracking for motion blur and fast motion via correlation filters.SENSORS,16(9),1-14. |
MLA | Xu LY,et al."Real-time robust tracking for motion blur and fast motion via correlation filters".SENSORS 16.9(2016):1-14. |
入库方式: OAI收割
来源:沈阳自动化研究所
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