Part of Springer Nature

Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

Scene Classification Algorithm Based on Covariance Descriptor

Authors
Xingsheng Li, Wei Tan, Zemin Wu, Jiang Yu
Corresponding Author
Xingsheng Li
Available Online March 2014.
DOI
https://doi.org/10.2991/mce-14.2014.6How to use a DOI?
Keywords
Image Segmentation; Covariance Descriptor; Sigma Points Feature; Scene Classification
Abstract
Scene classification has been a hot topic in the field of computer vision. Under the premise of image segmentation, this paper proposes a novel scene classification algorithm, combining pixel location, color characteristics, Gabor features, and local binary features (LBP) to form a covariance descriptor, and then converting it to the Sigma-point characteristics into a European Space, to complete the scene description and SVM training. To compare performance with some of the classic classification algorithms, we simulate the algorithm on standard Image SUN Database, and besides we construct data set with noise to validate their tolerance in dealing with noise and robustness. The results show that the proposed algorithm not only has a strong advantage on computation time, feature dimension and classification performance, but also has good fault tolerance and robustness.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-62520-31-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mce-14.2014.6How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xingsheng Li
AU  - Wei Tan
AU  - Zemin Wu
AU  - Jiang Yu
PY  - 2014/03
DA  - 2014/03
TI  - Scene Classification Algorithm Based on Covariance Descriptor
BT  - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
PB  - Atlantis Press
SP  - 26
EP  - 29
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.6
DO  - https://doi.org/10.2991/mce-14.2014.6
ID  - Li2014/03
ER  -