Research on Video Target Tracking Technology Based on Improved SIFT Algorithm

被引：1
|
作者：
Zhuang, Zhemin [1 ]
Guo, Zhijie [1 ]
Yuang, Ye [1 ]
机构：
[1] Shantou Univ, Dept Elect Engn, Shantou, Peoples R China
来源：
SEVENTH INTERNATIONAL CONFERENCE ON ELECTRONICS AND INFORMATION ENGINEERING | 2017年 / 10322卷
关键词：
video target tracking; SIFT; Feature Extraction;
D O I：
10.1117/12.2265460
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel target tracking algorithm based on improved SIFT (Scale Invariant Feature Transform, SIFT) algorithm is proposed in this paper. In order to improve real-time performance, the processing neighborhood of SIFT has been improved to decrease the complexity of calculation, and the dimension of the SIFT vector is set from 128 to 40. Simulations and experiments show this improved algorithm brings us low computation complexity and high tracking accuracy and robustness.
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页数：5
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