Corner Detection-Based Image Feature Extraction and Description with Application to Target Tracking

被引：0

作者：

Gong, Lejun ^{[1
]}

Feng, Jiacheng ^{[1
]}

Yang, Ronggen ^{[2
]}

机构：

[1] Nanjing Univ Posts & Telecommun, Sch Comp Sci & Technol, Sch Software, Nanjing 210023, Jiangsu, Peoples R China

[2] Jinling Inst Technol, Fac Comp Sci & Technol, Nanjing 211169, Jiangsu, Peoples R China

来源：

WIRELESS COMMUNICATIONS, NETWORKING AND APPLICATIONS, WCNA 2014 | 2016年 / 348卷

关键词：

Feature extraction; Local invariant features; Corner detection; Target tracking; REPRESENTATION;

D O I：

10.1007/978-81-322-2580-5_97

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：

Image features extraction and description is very important for pattern recognition and image analysis. Corners in images are typical feature points and represent a lot of important information. Extracting corners accurately is significant to image processing, which can reduce much of the calculations. In this paper, a target tracking algorithm is developed which is based on the local invariant feature point extracting and representing with Harris-Laplace corner. The results of the experiments show the feasibility of the proposed method and accurately localize the target. At last it has been used to construct the intelligent transportation system.

引用

页码：1069 / 1076

页数：8

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