Yong-Hee Park, Oh-Seok Kwon, Journal of Internet Computing and Services, Vol. 6, No. 5, pp. 85-96, Oct. 2005
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Keywords: Scale-Space Filtering, Feature Point Extraction, Corner Detection, Feature Tracking, Motion Analysis

Abstract

This study proposes a method of feature point extraction using scale-space filtering and a feature point tracking algorithm based on a texturedness similarity comparison, With well-defined operators one can select a scale parameter for feature point extraction; this affects the selection and localization of the feature points and also the performance of the tracking algorithm. This study suggests a feature extraction method using scale-space filtering, With a change in the camera's point of view or movement of an object in sequential images, the window of a feature point will have an affine transform. Traditionally, it is difficult to measure the similarity between correspondence points, and tracking errors often occur. This study also suggests a tracking algorithm that expands Shi-Tomasi-Kanade's tracking algorithm with texturedness similarity.

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