@article{oai:u-aizu.repo.nii.ac.jp:00000130,
 author = {新妻, 佑記 and 鳥居, 駿平 and 矢口, 勇一 and 岡, 嶐一 and Niitsuma, Yuki and Torii, Syunpei and Yaguchi, Yuki and Oka, Ryuichi},
 issue = {19},
 journal = {Multimedia tools and applications},
 month = {Oct},
 note = {PDF, We report the recognition in video streams of isolated alphabetic characters and connected cursive textual characters, such as alphabetic, hi-ragana and kanji characters, that are drawn in the air. This topic involves a number of difficult problems in computer vision, such as the segmentation and recognition of complex motion on videos. We use an algorithm called time-space continuous dynamic programming (TSCDP), which can realize both time- and location-free (spotting) recognition. Spotting means that the prior segmentation of input video is not required. Each reference (model) character is represented by a single stroke that is composed of pixels. We conducted two experiments involving the recognition of 26 isolated alphabetic characters and 23 Japanese hiragana and kanji air-drawn characters. We also conducted gesture recognition experiments based on TSCDP, which showed that TSCDP was free from many of the restrictions imposed by conventional methods.},
 pages = {11615--11639},
 title = {Time-segmentation and position-free recognition of air-drawn gestures and characters in videos},
 volume = {75},
 year = {2016},
 yomi = {ニイツマ, ユウキ and トリイ, シュンペイ and ヤグチ, ユウイチ and オカ, リュウイチ}
}