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IEEE Conference on Decision and Control

作者： R. Koshiba S. Shin N. Sebe Research anc Developement Center Toshiba Corporation Course of Mathematical Engineering and Information Physics Graduate School of Engineering University of Tokyo Department of Artificial Intelligence Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology

This paper concerns the decentralized design for a MIMO system. The decentralized design means the design of the combination of a pre-compensator and decentralized controllers. An advantage of this idea is that we can regard the decentralized controllers as SISO controllers, if the pre-compensator sufficiently decouples the plant. As a result, it is easy to comprehend the relationship between the controllers and specifications. However, it may occur that the structural restriction of the decentralized controllers results in a poorer performance than a centralized controller. This paper shows that the decentralized design proposed realizes a performance equal to the centralized one in the mixed sensitivity problem based on certain assumptions.

关键词： Centralized control MIMO Physics Artificial intelligence computer science Design engineering Systems engineering and theory Large-scale systems H infinity control State feedback

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A method of pedestrian detection based on rhythm of walking

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SYSTEMS AND computerS IN JAPAN 1996年第2期27卷 1-11页

作者： Yasutomi, S Mori, H Kiyohiro, N Member Faculty of Engineering Yamanashi University Kofu Japan 400 Satoshi Tasutomi graduated from Dept. of Computer Science from the Faculty of Engineering Yamanashi University in 1988 and masters course at the same university in 1988. He joined Pioneer Ltd. in the same year. He is a doctoral candidate at Yamanashi University. He has engaged in research on image processing. He is a member of Robotics Society of Japan. Nonmember

It is important for mobile robots and security purposes to discriminate a pedestrian among moving objects in a video. This paper proposes a method which discriminates a pedestrian from other objects by using periodic motions of the feet, and the characteristics of the rhythm of pace and stride. This method uses brightness changes in sequential images of a moving object contacting with the ground, and extracts the main component of the frequency using a power spectrum estimation. Therefore, the method is independent of pedestrian's appearance such as clothes, build, and hair style. The system realizing this method consists of three processes: moving object detection which uses the difference between successive image frames;tracking of the moving object using a moving model with an extended Kahman filter and an observation model;and detection of the pedestrian based on rhythm of walking using the difference of brightness between images on successive frames. The whole process is performed in realtime. Experiments using real scenes confirm the effectiveness of the proposed method: 446 pedestrians out of 470 were successfully detected (detection rate 94.9%), and 101 persons out of 106 were successfully detected as non-pedestrians (96.2%).

关键词： pedestrian detection tracking rhythm of walking pace stride

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An interactive analysis of large scale multi-spectral images using a Hilbert curve

An interactive analysis of large scale multi-spectral images...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： M. Niimi S. Kamata E. Kawaguchi Computer Science and Control Engineering Course Nagasaki Institute of Applied Science Nagasaki Japan Faculty of Engineering Kyushu Institute of Technology South Korea

There have been some new developments of an interactive analysis for the multi-spectral images. Recently the authors have proposed an interactive analysis method for classification using a Hilbert curve which is a one-to-one mapping and takes a neighborhood between N-dimensional space and one-dimensional space into consideration. In order to analyze large scale multi-spectral images, the authors divide a large scale image into subimages which can be analyzed using their proposed method. A problem is that after classifying one of the subimages, how they classify the rest of the subimages using this result effectively. They present a solution of this problem using a tree structure expression. They assign a reliability measure to each pixels on the rest. The reliability measure is based on a distance from a center of a cluster, and the center is considered occurrence information. For the low reliable data, they apply their interactive analysis method for classification again. In the experiment using a LANDSAT image data, they confirmed the effectiveness of the reliability measure because category boundaries on the rest have lower reliability.

关键词： Image analysis Large-scale systems Multispectral imaging Remote sensing Space technology Satellites Hypercubes computer science Control engineering Displays

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Hierarchical description of two dimensional shapes using a genetic algorithm

Hierarchical description of two dimensional shapes using a g...

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IEEE International Conference on Evolutionary Computation

作者： Peisuei Lee T. Nagao Computer Graphics Course Nippon Electronics College Tokyo Japan Imaging Science and Engineering Laboratory Tokyo Institute of Technology Yokohama Japan

A description method for arbitrary two dimensional shapes is proposed in this paper. When a 2D shape is given as a silhouette, its structure is automatically approximated by the use of a set of rectangles by the proposed method. Sizes, positions and rotational angles of the rectangles which approximate adequately the given 2D shape are searched by a genetic algorithm; GA. In our coding of GA, a chromosome of each individual is a bit string corresponding to parameter sets of several rectangles. Through a generation iteration, accuracy of approximation of the given 2D shape is improved. The total number of rectangles to be used for description is assumed to be given before shape description. By changing the total number of rectangles, hierarchical description of given 2D shapes is achieved. This method can be applied to shape description and object recognition in the field of computer vision and to abstraction of 2D shapes in the field of artistic applications by the use of computers.

关键词： Shape Genetic algorithms computer vision Art computer graphics Educational institutions Genetic engineering Laboratories Biological cells Object recognition

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Design for manufacture in the aerospace extended enterprise

World Class Design to Manufacture

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World Class Design to Manufacture 1995年第2期2卷 28-33页

作者： Kamal Sehdev Ip‐Shing Fan Stephen Cooper Gareth Williams Research Officer at the CIM Institute. As well as his involvement in the EPSRC‐funded Design for Manufacture in the Extended Enterprise Project he lectures to the Master′s course on the application of AI and expert systems in business on data communications and on computer‐aided design and manufacture. He can be contacted at the CIM Institute Cranfield University Cranfield Bedford MK43 0AL UK. Tel: 01234 754073 Fax: 01234 750852. Lecturer and the Research Manager at the CIM Institute. He is the Principal Investigator of this Project. He also works in various European Commission funded research projects in design for manufacture and concurrent engineering. Research Assistant at the CIM Institute at Cranfield University and is working towards a PhD. He is the full‐time Research Associate on the Design for Manufacture in the Extended Enterprise Project. He is involved with many aspects of the project but is particularly involved in the area of design for manufacture/assembly tools and techniques. Manufacturing engineering research group at the BAe Cranfield Manufacturing Centre. He is a Research Associate on the Design for Manufacture in the Extended Enterprise project contributing aerospace manufacturing and business process expertise.

Design for manufacture (DFM) is accepted as an important tool toimprove manufacturing competitiveness. Reports on the results of thefirst phase of a study conducted by Cranfield University to establishthe user require... 详细信息

关键词： Aerospace industry Co‐makership Europe Supply‐chain management

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A multi-temporal classification of multi-spectral images using a neural network 12

A multi-temporal classification of multi-spectral images usi...

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12th IAPR International Conference on Pattern Recognition - Conference B: Pattern Recognition and Neural Networks, ICPR 1994

作者： Kamata, Sei-Ichiro Niimi, Michiharu Kawaguchi, Eiji Dept. of Computer Engineering Kyushu Institute of Technology Kitakyushu804 Japan Computer Science and Control Engr. Course Nagasaki Institute of Applied Science Nagasaki851-01 Japan

ISBN: (纸本)0818662700

The classification of remotely sensed multispectral data using classical statistical methods has been worked on for several decades. Recently there have been many new developments in neural network (NN) research, and many new applications have been studied. It is well known that NN approaches have the ability to classify without assuming a distribution. We have proposed an NN model to combine the spectral and spacial information of LANDSAT TM images. In this paper, we apply the NN approach with a normalization method to classify multi-temporal LANDSAT TM images in order to investigate the robustness of our approach. From our experiments, we confirmed that our approach is more effective for the classification of multi-temporal data than the original NN approach and maximum likelihood approach. © 1994 IEEE.

关键词： Maximum likelihood

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A multi-temporal classification of multi-spectral images using a neural network

A multi-temporal classification of multi-spectral images usi...

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International Conference on Pattern Recognition

作者： S.-I. Kamata M. Niimi E. Kawaguchi Department of Computer Engineering Kyushu Institute of Technology Japan Computer Science and Control Engineering Course Nagasaki Institute of Applied Science Nagasaki Japan

The classification of remotely sensed multi-spectral data using classical statistical methods has been worked on for several decades. There have been many new developments in neural network (NN) research, and many new applications have been studied. It is well known that NN approaches have the ability to classify without assuming a distribution. The authors previously proposed an NN model to combine the spectral and spatial information of LANDSAT TM images. In this paper, the authors apply the NN approach with a normalization method to classify multi-temporal LANDSAT TM images in order to investigate the robustness of their approach. From the authors' experiments, they confirm that their approach is more effective for the classification of multi-temporal data than the original NN approach and maximum likelihood approach.

关键词： Multispectral imaging Neural networks Satellites Remote sensing Learning systems Pixel Signal processing computer science Statistical analysis Lakes

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Interactive analysis of multi-spectral images using a Hilbert curve

Interactive analysis of multi-spectral images using a Hilber...

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International Conference on Pattern Recognition

作者： S.-I. Kamata M. Niimi E. Kawaguchi Department of Computer Engineering Kyushu Institute of Technology Kitakyushu Japan Computer Science and Control Engineering Course Nagasaki Institute of Applied Science Japan

There have been many new developments in interactive analysis for multi-spectral images in the research of remote sensing. In general, the methods used are linear transformations such as principal component analysis. In this paper, the authors present a new interactive method for classifying multi-spectral images using a Hilbert curve which is a one-to-one mapping and preserves the neighborhood as much as possible. This method is based on a hierarchical histogram expression with different resolutions for the mapped one-dimensional data. The classification on this expression can be performed easily instead of using N-dimensional data directly. In order to realize the real time response from the system, the authors make use of data tables storing the addresses and the occurrences of data, etc. Here the address is defined by using the coordinates in N-dimensional space, and is made use of dealing with a part of mapping which can not preserve the neighborhood. In the experiments using LANDSAT image data, it is confirmed that the user can get the real time response from the system after once making the data tables.

关键词： Image analysis Multispectral imaging Remote sensing Real time systems Satellites Principal component analysis Histograms computer science Ear Displays

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A new block adaptive algorithm using order recursive UD factorization method

A new block adaptive algorithm using order recursive UD fact...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： T. Furukawa S. Yoshimoto H. Kubota Department of Management Engineering Computer Science Course Fukuoka Institute of Technology Fukuoka Japan Department of Electrical Engineering Chiba Institute of Technology Chiba Japan

Adaptive algorithm especially plays the important role in adaptive signal processing, and much work has been proposed with various techniques until up to now. Among them, the algorithms using orthogonal projection are well known, which can be expressed with Moore-Penrose type generalized inverse matrix, with respect to the convergence characteristics. This paper presents a new block adaptive algorithm in which Moore-Penrose type generalized matrix can be efficiently calculated with order-update UD factorization. The proposed algorithm is expected to have stable property, since it includes less divisions in the procedures compared with the traditional last block adaptive algorithms.< >

关键词： Adaptive algorithm Signal processing algorithms Matrix decomposition Adaptive filters Convergence Adaptive signal processing Technology management engineering management computer science Singular value decomposition

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A new solution method for linear equation using the gradient method

A new solution method for linear equation using the gradient...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： T. Furukawa H. Kubota Department of Management Engineering Computer Scienceence Course Fukuoka Institute of Technology Fukuoka Japan Department of Electrical Engineering Chiba Institute of Technology Narashino Chiba Japan

The authors present a new block adaptive algorithm. This algorithm is based on the gradient method, orthogonal projection arithmetic onto one-dimension subspace and the Gram-Schmidt orthogonalization procedure. The adjustment vectors are generated as the linear combination of some orthogonal bases derived from the input vectors in the adaptive filter. Therefore, when a complete orthogonal vector set is generated, the proposed algorithm can estimate an optimum coefficient vector within a block. The characteristics of the proposed algorithm are described. computer simulation results show that the proposed algorithm has a stable performance and fast convergence speed.< >

关键词： Equations Gradient methods Adaptive filters Convergence Adaptive algorithm Vectors Paper technology Arithmetic Least squares approximation Resonance light scattering

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