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

  • Lejun Gong
  • Jiacheng Feng
  • Ronggen Yang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 348)

Abstract

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.

Keywords

Feature extraction Local invariant features Corner detection Target tracking 

Notes

Acknowledgments

This work is supported by the Natural Science Foundation of the Jiangsu Province (Project No. BK20130417), and Scientific Research Foundation for the introduction of talent of Nanjing University of Posts and Telecommunications (Project No. NY213088) and NUPTSF (Project No. NY214068).

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Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.School of Computer Science & Technology, School of SoftwareNanjing University of Posts and TelecommunicationsNanjingChina
  2. 2.Faculty of Computer Science and TechnologyJinling Institute of TechnologyNanjingChina

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