Authors
Shou Morita, Joo Kooi Tan, Hyoungseop Kim, Seiji Ishikawa
Corresponding Author
Shou Morita
Available Online 15 September 2014.
DOI
https://doi.org/10.2991/jrnal.2014.1.2.13How to use a DOI?
Keywords
Object recognition, bag of features, multiple-windows, VLAD, computer vision
Abstract
The idea of Bag of Features (BoF) is recently often employed for general object recognition. But, as it does not take positional relations of detected features into account, the recognition rate is still not very high for practical use. This paper proposes a method of describing the feature of an object by the BoF representation which considers positional information of the features. Although the original BoF representation is applied to an entire image, the proposed method employs multiple windows on an image. The BoF representation is applied to each of the windows to represent an object in the image interested for recognition. The performance of the proposed method is shown experimentally.

Copyright
© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).