Quick detection method of spatio-temporal interest points with invariable scale

Abstract

The invention belongs to the video analysis fields of action recognition, expression analysis, video retrieval, robot navigation, man-machine interaction, target detection and track and the like, and discloses a quick detection method of spatio-temporal interest points with an invariable scale. The method comprises the steps: setting parameters of detection operators of the spatio-temporal interest points under different spatio-temporal scales; calculating an integral video after a continuous video frame is input; calculating a response function of the detection operators of the spatio-temporal interest points of a pixel, and obtaining an intensity response map with multiple spatio-temporal scales; selecting a spatio-temporal scale; obtaining candidate spatio-temporal interest points through non-maximum restrain; and removing candidate spatio-temporal interest points in the edge response, and obtaining a detection result. The quick detection method of the spatio-temporal interest points with the invariable scale can detect the significant and robust local spatio-temporal feature points, is accurate in locating; has strong capacity of resisting noise jamming; has certain abilities of shield-resistance, rotation and spatio-temporal scale change; is good in real-time performance; and can decide to output a sparse or dense point set according to selection of a domain value.

Description

technical field [0001] The invention belongs to the field of video analysis, and more specifically relates to a scale-invariant rapid detection method for spatio-temporal interest points. Background technique [0002] In recent years, local viewpoint-invariant features based on key points in the spatial domain have been successfully applied to object recognition and image matching. However, in the space-time domain, research on key point detection methods has made progress, but the results are limited. At present, 9 main spatio-temporal interest point detection methods have been proposed in the international published papers, which are mainly divided into two categories: corner point detection method and clump detection method. [0003] In 2003, I.Laptev and T.Lindberg first proposed the Harris spatio-temporal interest point detection method. They extended the idea of ​​2D interest point detection from the space domain to the space-time domain. This promotion takes into acco...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the defects of the prior art, the purpose of the present invention is to provide a scale-invariant rapid detection method of spatio-temporal interest points, aiming at solving the problem of the sparse number of generated points and the computational complexity caused by detection based on various measurement methods of interest points in the prior art. The problem of inaccurate location of Yamato space-time

Images