@inproceedings{oai:kyutech.repo.nii.ac.jp:00005074,
 author = {Morita, S. and Tan, Joo kooi and タン, ジュークイ and Kim, Hyungseop and 金, 亨燮 and 石川, 聖二 and Ishikawa, Seiji},
 book = {Proceedings of International Conference on Artificial Life & Robotics (ICAROB2014)},
 month = {Jan},
 note = {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., The International Conference on Artificial Life and Robotics (ICAROB 2014), January 11-13, 2014, Oita, Japan},
 publisher = {ALife Robotics},
 title = {Recognizing a road environment using multiple-window bag of features},
 volume = {2014},
 year = {2014},
 yomi = {イシカワ, セイジ}
}