Motion detection by eigen-projections from incremental subspace learning | IEEE Conference Publication | IEEE Xplore

Motion detection by eigen-projections from incremental subspace learning


Abstract:

This paper presents a new method for movement detection, based on the projection of the first eigenvalue obtained by using the Incremental Principal Component Analysis (I...Show More

Abstract:

This paper presents a new method for movement detection, based on the projection of the first eigenvalue obtained by using the Incremental Principal Component Analysis (IPCA). This is obtained assuming that the incremental computation of the eigenvalues using two images, simultaneously, produces an eigenvector that projects the maximum variability among both images and then, the movement can be estimated.
Date of Conference: 05-07 July 2017
Date Added to IEEE Xplore: 23 October 2017
ISBN Information:
Conference Location: Barcelona, Spain

References

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