by Sanchez, J, Klette, R and Destefanis, E
Abstract:
This chapter applies anisotropic Gaussian scale space theory for modeling affine shape modifications of moving blobs in the context of vision-based driver assistance systems. First, affine blobs are detected in an image sequence and tracked; second, their scale ratios are used for the derivation of 3D motion characteristics. For example, this also allows to estimate the navigation angles of a moving camera in 3D space. The theoretical concept is explained in detail, and illustrated by a few experiments, including an indoor experiment and also the estimation of navigation angles of a car (i.e., of the ego-vehicle) in provided test sequences. The numerical evaluations indicate the validity of the idea and advantages to vehicle vision. © 2009 Springer-Verlag.
Reference:
Derivation of motion characteristics using affine shape adaptation for moving blobs (Sanchez, J, Klette, R and Destefanis, E), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 5604 LNCS, 2009.
Bibtex Entry:
@inproceedings{sanchez2009derivationblobs,
author = "Sanchez, J and Klette, R and Destefanis, E",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "259--279",
title = "Derivation of motion characteristics using affine shape adaptation for moving blobs",
volume = "5604 LNCS",
year = "2009",
abstract = "This chapter applies anisotropic Gaussian scale space theory for modeling affine shape modifications of moving blobs in the context of vision-based driver assistance systems. First, affine blobs are detected in an image sequence and tracked; second, their scale ratios are used for the derivation of 3D motion characteristics. For example, this also allows to estimate the navigation angles of a moving camera in 3D space. The theoretical concept is explained in detail, and illustrated by a few experiments, including an indoor experiment and also the estimation of navigation angles of a car (i.e., of the ego-vehicle) in provided test sequences. The numerical evaluations indicate the validity of the idea and advantages to vehicle vision. © 2009 Springer-Verlag.",
doi = "10.1007/978-3-642-03061-1_13",
isbn = "3642030602",
isbn = "9783642030604",
issn = "0302-9743",
eissn = "1611-3349",
language = "eng",
}