論文 - 椋木 雅之
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Students' posture sequence estimation using spatio-temporal constraints 査読あり
Mukunoki M., Yoshitsugu K., Minoh M.
Communications in Computer and Information Science 298 CCIS ( PART 2 ) 415 - 424 2012年11月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：Communications in Computer and Information Science
We propose a method for estimating the students' posture sequence in classroom from video footage by computer automatically. A posture sequence is a time-series of student's postures during a lecture and a posture of a student is described by a set of his head, body trunk (torso) and hands/arms states, which we call the body part states. The detection of body parts from video footage has many errors. To cope with the errors, we introduce spatio-temporal constraints, in which we propagate the belief of postures through a given time interval with considering the confidence of observation. Through this propagation, we can revise the erroneous detection results and estimate an appropriate posture sequence. In the experiment, we apply our proposed method to a real lecture, and show that our method can improve the accuracy of posture sequence estimation. © 2012 Springer-Verlag Berlin Heidelberg.
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Set based discriminative ranking for recognition 査読あり
Wu Y., Minoh M., Mukunoki M., Lao S.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7574 LNCS ( PART 3 ) 497 - 510 2012年10月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Recently both face recognition and body-based person re-identification have been extended from single-image based scenarios to video-based or even more generally image-set based problems. Set-based recognition brings new research and application opportunities while at the same time raises great modeling and optimization challenges. How to make the best use of the available multiple samples for each individual while at the same time not be disturbed by the great within-set variations is considered by us to be the major issue. Due to the difficulty of designing a global optimal learning model, most existing solutions are still based on unsupervised matching, which can be further categorized into three groups: a) set-based signature generation, b) direct set-to-set matching, and c) between-set distance finding. The first two count on good feature representation while the third explores data set structure and set-based distance measurement. The main shortage of them is the lack of learning-based discrimination ability. In this paper, we propose a set-based discriminative ranking model (SBDR), which iterates between set-to-set distance finding and discriminative feature space projection to achieve simultaneous optimization of these two. Extensive experiments on widely-used face recognition and person re-identification datasets not only demonstrate the superiority of our approach, but also shed some light on its properties and application domain. © 2012 Springer-Verlag.
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Learning to Estimate Slide Comprehension in Classrooms with Support Vector Machines 査読あり
Pattanasri N., Mukunoki M., Minoh M.
IEEE Transactions on Learning Technologies 5 ( 1 ) 52 - 61 2012年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：IEEE Transactions on Learning Technologies
Comprehension assessment is an essential tool in classroom learning. However, the judgment often relies on experience of an instructor who makes observation of students' behavior during the lessons. We argue that students should report their own comprehension explicitly in a classroom. With students' comprehension made available at the slide level, we apply a machine learning technique to classify presentation slides according to comprehension levels. Our experimental result suggests that presentation-based features are as predictive as bag-of-words feature vector which is proved successful in text classification tasks. Our analysis on presentation-based features reveals possible causes of poor lecture comprehension. © 2012, IEEE
DOI： 10.1109/TLT.2011.22
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“ 修学旅行における生徒の満足度向上”
笠原秀一,森幹彦,椋木雅之,美濃導彦
観光情報学会第6 回研究発表会， 2012-12 2012年
記述言語：日本語 掲載種別：研究論文（研究会，シンポジウム資料等）
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“ 非一様な照明変動環境下におけるカメラ間人物対応付けのため の人物色補正”
川西康友,福井啓允,椋木雅之,美濃導彦
画像の認識・理解シンポジウム（MIRU2012），2012-08． 2012年
記述言語：日本語 掲載種別：研究論文（研究会，シンポジウム資料等）
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“ 観光情報基盤により安全安心な旅行を実現する街づくりのデザイン”
笠原秀一,森幹彦,椋木雅之,美濃導彦
Design シンポジウム2012，2012-10 2012年
記述言語：日本語 掲載種別：研究論文（研究会，シンポジウム資料等）
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Optimizing mean reciprocal rank for person re-identification 査読あり
Wu Y., Mukunoki M., Funatomi T., Minoh M., Lao S.
2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011 408 - 413 2011年10月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011
Person re-identification is one of the most challenging issues in network-based surveillance. The difficulties mainly come from the great appearance variations induced by illumination, camera view and body pose changes. Maybe influenced by the research on face recognition and general object recognition, this problem is habitually treated as a verification or classification problem, and much effort has been put on optimizing standard recognition criteria. However, we found that in practical applications the users usually have different expectations. For example, in a real surveillance system, we may expect that a visual user interface can show us the relevant images in the first few (e.g. 20) candidates, but not necessarily before all the irrelevant ones. In other words, there is no problem to leave the final judgement to the users. Based on such an observation, this paper treats the re-identification problem as a ranking problem and directly optimizes a listwise ranking function named Mean Reciprocal Rank (MRR), which is considered by us to be able to generate results closest to human expectations. Using a maximum-margin based structured learning model, we are able to show improved re-identification results on widely-used benchmark datasets. © 2011 IEEE.
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把持の順序と外見の変化モデルを利用した調理作業における食材追跡 査読あり
橋本敦史;森直幸;舩冨卓哉;山肩洋子;椋木雅之;角所考;美濃導彦
電子情報通信学会論文誌 A J94-A ( 7 ) 509 - 518 2011年7月
記述言語：日本語 掲載種別：研究論文（学術雑誌）
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ＴｅｘＣｕｔ：ＧｒａｐｈＣｕｔを用いたテクスチャの比較による背景差分 査読あり
橋本敦史;舩冨卓哉;中村和晃;椋木雅之;美濃導彦
電子情報通信学会論文誌 D J94-D ( 6 ) 1007 - 1016 2011年6月
記述言語：日本語 掲載種別：研究論文（学術雑誌）
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Tracking food materials with changing their appearance in food preparing 査読あり
Hashimoto A., Mori N., Funatomi T., Mukunoki M., Kakusho K., Minoh M.
Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010 248 - 253 2010年12月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010
This paper describes our work in computer vision to track food materials in the food preparation process. Tracking such food materials is difficult, because they are often hidden when moved by hand. Furthermore, their appearance may change in hand when they are cut or peeled. For tracking these objects in such situations, we propose a novel method that matches an object on a cooking table to one grasped in the past. We use the following three criteria to match the objects even when they are cut or peeled: the similarity in their appearance, the validity of their change in appearance, and the grasped order. We experimentally evaluated our method by applying it to the scenes of cutting and peeling food materials. As a result, we achieved an accuracy of 83.6% in matching the objects. © 2010 IEEE.
DOI： 10.1109/ISM.2010.43
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Privacy-protected camera for the sensing web 査読あり
Mitsugami I., Mukunoki M., Kawanishi Y., Hattori H., Minoh M.
Communications in Computer and Information Science 81 PART 2 622 - 631 2010年12月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：Communications in Computer and Information Science
We propose a novel concept of a camera which outputs only privacy-protected information; this camera does not output captured images themselves but outputs images where all people are replaced by symbols. Since the people from this output images cannot be identified, the images can be opened to the Internet so that we could observe and utilize the images freely. In this paper, we discuss why the new concept of the camera is needed, and technical issues that are necessary for implementing it. © Springer-Verlag Berlin Heidelberg 2010.
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TexCut: GraphCut を用いたテクスチャの比較による背景差分の検討
橋本敦史, 中村和晃, 舩冨卓哉, 椋木雅之, 美濃導彦
PRMU 2010年11月
記述言語：日本語 掲載種別：研究論文（研究会，シンポジウム資料等）
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Background image generation by preserving lighting condition of outdoor scenes 査読あり
Y. Kawanishi; I. Mitsugami; M. Mukunoki; M. Minoh
Procedia - Social and Behavioral Sciences 2 ( 1 ) 129 - 136 2010年
記述言語：英語 掲載種別：研究論文（学術雑誌）
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Camera model for inverse perspective 査読あり
M. Baba; M. Yamamoto; M. Mukunoki; N. Asada
ACM SIGGRAPH ASIA 2010 Posters, SA\\'10 2010年
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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“姿勢事例の獲得とその補完による手の 計測形状の姿勢操作”
大内田裕胤,籔内智浩,舩冨卓哉,飯山将晃,椋木雅之,美濃導彦
画像の認識・理解シンポジウム（MIRU2010），2010-07． 2010年
記述言語：日本語 掲載種別：研究論文（研究会，シンポジウム資料等）
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ComprehEnRank: Estimating comprehension in classroom by absorbing random walks on a cognitive graph 査読あり
Pattanasri N., Mukunoki M., Minoh M.
International Conference on Information and Knowledge Management, Proceedings 1769 - 1772 2009年12月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：International Conference on Information and Knowledge Management, Proceedings
This paper develops a graph-theoretic framework for estimating comprehension in classroom. To deal with imprecise data gathered in classroom, we propose multi-step comprehension propagation over a semantic graph. Random walks on the graph measure students' comprehension with probabilities absorbed at student nodes. Copyright 2009 ACM.
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Background Image Generation Keeping Lighting Condition of Outdoor Scenes 査読あり
Yasutomo Kawanishi, Ikuhisa Mitsugami, Masayuki Mukunoki, Michihiko Minoh
The 1st International Conference on Security Camera Network, Privacy Protection and Community Safety (SPC2009) Best Paper Award受賞 2009年
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Estimating Reflectance of a Real Object using Bump Model 査読あり
Baba M., Mukunoki M., Asada N.
Journal of the Institute of Image Electronics Engineers of Japan 36 ( 4 ) 362 - 370 2007年1月
記述言語：英語 掲載種別：研究論文（学術雑誌） 出版者・発行元：Journal of the Institute of Image Electronics Engineers of Japan
Reflectance of objects plays an important role in image synthesis. Many reflection models have been proposed to describe the reflectance of real objects. To synthesize a realistic image of real objects, it is required to measure parameters of reflection models from real images. Another important issue is modeling the bump parameters of a surface. In this paper, we propose a method to measure a roughness of the surface from real images of real objects. First, we define a bump model to represent the roughness of the surface. Next, we improve the reflection models for both specular and diffuse. Then, we measure reflectance properties from real images, and show realistic images of real objects by using improved reflection models and bump model. © 2007, The Institute of Image Electronics Engineers of Japan. All rights reserved.
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Simultaneous estimation of reflectance parameters from images 査読あり
Miura S., Baba M., Mukunoki M., Asada N.
ACM SIGGRAPH 2006 Research Posters, SIGGRAPH 2006 2006年7月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：ACM SIGGRAPH 2006 Research Posters, SIGGRAPH 2006
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Table form document analysis based on the document structure grammar 査読あり
Amano A., Asada N., Mukunoki M., Aoyama M.
International Journal on Document Analysis and Recognition 8 ( 2-3 ) 201 - 213 2006年6月
記述言語：英語 掲載種別：研究論文（学術雑誌） 出版者・発行元：International Journal on Document Analysis and Recognition
Structure analysis of table form documents is an important issue because a printed document and even an electronic document do not provide logical structural information but merely geometrical layout and lexical information. To handle these documents automatically, logical structure information is necessary. In this paper, we first analyze the elements of the form documents from a communication point of view and retrieve the grammatical elements that appear in them. Then, we present a document structure grammar which governs the logical structure of the form documents. Finally, we propose a structure analysis system of the table form documents based on the grammar. By using grammar notation, we can easily modify and keep it consistent, as the rules are relatively simple. Another advantage of using grammar notation is that it can be used for generating documents only from logical structure. In our system, documents are assumed to be composed of a set of boxes and they are classified as seven box types. Then the box relations between the indication box and its associated entry box are analyzed based on the semantic and geometric knowledge defined in the document structure grammar. Experimental results have shown that the system successfully analyzed several kinds of table forms. © Springer-Verlag 2005.