Feature Point Detection and Target Tracking Based on SIFT and KLT

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 849)

Abstract

The Scale Invariant Feature Transform, SIFT, has good ability to detect very stable feature points. But at present, there are very little researches on SIFT in our country, and most of them are concentrated in the areas of Image Registration and Image Stitching. In this paper, SIFT and KLT will be combined for feature points detection and tracking. First, SIFT algorithms is used to detect stable feature points, and then the KLT method is used to track the feature points. The experimental results show that the new method provides a good method in the field of feature points detection and tracking.

Keywords

Feature points detection Tracking SIFT KLT 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.School of Optoelectronic InformationUniversity of Electronic Science and TechnologyChengduChina

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