[1]Mao Xiaobo,Zhou Xiaodong,Liu Yanhong.Improved TLD Object Tracking Algorithm Based On FAST Teature Points[J].Journal of Zhengzhou University (Engineering Science),2018,39(02):1-5.[doi:10.13705/j.issn.1671-6833.2018.02.001]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
39
Number of periods:
2018 02
Page number:
1-5
Column:
Public date:
2018-03-30
- Title:
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Improved TLD Object Tracking Algorithm Based On FAST Teature Points
- Author(s):
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Mao Xiaobo; Zhou Xiaodong; Liu Yanhong
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School of Electrical Engineering, Zhengzhou University, Zhengzhou, Henan 450001
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- Keywords:
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- CLC:
-
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- DOI:
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10.13705/j.issn.1671-6833.2018.02.001
- Abstract:
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TLD was a new long-term object tracking algorithm in recent years. It is different from the traditional tracking algorithm in that it combined the traditional detection algorithm and the tracking algorithm , and then the learning module was used to study the characteristics of the object. In this paper,an improved TLD object tracking algorithm based on FAST feature points was proposed to ensure that the selected feature points could be tracked correctly and reliably to improve the accuracy of the tracker. At the same time, for the tracking process, the learning module template cumulative effect is obvious, reduced the real-time performance. Using a dynamic template management mechanism, when the number of templates reached the threshold, by comparing the similarity between the template and the current target, the specific template is deleted and the number of templates was kept constant. Experiments results showed that the improved algorithm had higher tracking precision and real - time performance.