Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

An Object Recognition Method Based on Bag-of-Visual-Words and Fusing Multi-feature

Authors
Xueting Qi, Tianhuang Chen, Hongxia Wang
Corresponding Author
Xueting Qi
Available Online May 2014.
DOI
https://doi.org/10.2991/lemcs-14.2014.216How to use a DOI?
Keywords
object recognition;BOV model;fusing multi-feature;SIFT;LBP
Abstract
The traditional bag-of-visual-words(BOV) model only uses one single feature to classify objects, which is difficult to achieve good results when dealing with many object categories. To solve this problem, in this paper, we proposed an object recognition method based on BOV model and fusing multi-feature. First, it extracted Scale Invariant Feature Transform (SIFT) features and Local Binary Pattern(LBP) features in the multi-scale space simultaneously, Second, we utilized SVM classifier to pre-classify separately on these two kinds of features and assigned their weights 0 or 1 according to the scale of pre-classification results. Third, the method fused SIFT and LBP features by introducing their weights, obtaining a fused vector. At last, classified on the fused vector using SVM classifier again, and then achieved the final result of object recognition. The experimental results show that the method proposed in this paper shows good performance and could improve the accuracy of object recognition effectively.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-6252-010-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/lemcs-14.2014.216How 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  - Xueting Qi
AU  - Tianhuang Chen
AU  - Hongxia Wang
PY  - 2014/05
DA  - 2014/05
TI  - An Object Recognition Method Based on Bag-of-Visual-Words and Fusing Multi-feature
BT  - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.216
DO  - https://doi.org/10.2991/lemcs-14.2014.216
ID  - Qi2014/05
ER  -