A Real-Time Moving Target Tracking Algorithm Based on SIFT

被引：0
|
作者：
Qiang, Hequn [1 ]
Qian, Chunhua [1 ]
Zhong, Baojiang [2 ]
机构：
[1] Suzhou Polytech Inst Agr, Dept Comp Sci, Suzhou, Peoples R China
[2] Soochow Univ, Dept Comp Sci, Suzhou, Peoples R China
来源：
2017 INTERNATIONAL CONFERENCE ON SECURITY, PATTERN ANALYSIS, AND CYBERNETICS (SPAC) | 2017年
关键词：
SIFT; Moving Target Tracking; Image Matching;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Moving target tracking is an important research area in pattern recognition, image processing and computer vision. We proposed a novel moving target tracking algorithm based on SIFT in this paper. For the high running time and large computation amount of the traditional SIFT algorithm, we design a new keypoint descriptor, reduce the keypoint dimension, improved the keypoint extraction rate. It is proved by experiments that the new algorithm meet the real-time requirement and can tracking the occludent moving target well.
引用
收藏
页码：569 / 572
页数：4
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