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(Semi-)Analytic Gaussian Mixture Filter

IFAC Proceedings Volumes 2011年第1期44卷 10014-10020页

作者： Marco F. Huber Frederik Beutler Uwe D. Hanebeck Variable Image Acquisition and Processing Research Group Fraunhofer Institute of Optronics System Technologies and Image Exploitation (IOSB) Karlsruhe Germany Intelligent Sensor-Actuator-Systems Laboratory (ISAS) Institute for Anthropomatics Karlsruhe Institute of Technology (KIT) Karlsruhe Germany

Abstract In nonlinear filtering, special types of Gaussian mixture filters are a straightforward extension of Gaussian filters, where linearizing the system model is performed individually for each Gaussian component. In this paper, two novel types of linearization are combined with Gaussian mixture filters. The first linearization is called analytic stochastic linearization, where the linearization is performed analytically and exactly, i.e., without Taylor-series expansion or approximate sample-based density representation. In cases where a full analytical linearization is not possible, the second approach decomposes the nonlinear system into a set of nonlinear subsystems that are conditionally integrable in closed form. These approaches are more accurate than fully applying classical linearization.

关键词： State Estimation Nonlinear systems Stochastic systems Decomposition Methods

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Data Model Driven Architecture (DMDA)

Data Model Driven Architecture (DMDA)

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Chen Chen Xueguang Chen Hong Liu Institute of Systems Engineering Huazhong University of Science and Technology Wuhan China Key Laboratory for Image Processing and Intelligent control Huazhong University of Science and Technology Wuhan China

Based on the current development of Model Driven Architecture (MDA) in Enterprise Information System (EIS), the paper proposes a DMDA, a new development architecture to improve EIS development speed and quality. The basic idea of the DMDA is to take advantage of formal description, decomposition and re-use on EIS development process to let computer understand development demands of developers and then consequently generate some business models having nothing to do with specific technical realization, combine with specific technical basic platform to finally generate the EIS meeting actual demands based on data model. The practice proves the architecture is capable of simplifying EIS development difficulty, expediting application and development speed, improve development quality and achieve the rapid development purpose.

关键词： Data models Business Unified modeling language Computational modeling Analytical models Computers

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Peripheral region enhancement of geometrically compensated images from a fisheye lens

Peripheral region enhancement of geometrically compensated i...

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IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Donggyun Kim Seonyung Kim Joonki Paik Junghoon Jung Taechan Kim Image Processing and Intelligent Systems Laboratory Multimedia and Film Chung-Ang University Seoul Korea System LSI Samsung Electronics Co. Ltd Suwon Korea

In this paper, we propose a peripheral region enhancement method for geometrically compensated images from a fisheye lens. The proposed method provides a novel filtering method based on the degradation model of a fisheye lens. More specifically, we first present a space-variant image degradation model using generic Gaussian function with geometric distortion. We then apply the truncated constraint least squares (TCLS) filter for restoring the peripheral region of the image in the real-time, space-adaptive manner. Experimental results demonstrate that the proposed method can enhance the peripheral region while keeping the high-quality center region.

关键词： Lenses Optical filters Degradation Finite impulse response filter image restoration Cameras Nonlinear distortion

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Semi-Analytic Gaussian Assumed Density Filter

Semi-Analytic Gaussian Assumed Density Filter

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2011 American Control Conference (ACC)

作者： Marco F. Huber Frederik Beutler Uwe D. Hanebeck Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB The Variable Image Acquisition and Processing Research Group Karlsruhe Germany U. D. Hanebeck are with the Intelligent Sensor-Actuator-Systems Laboratory (ISAS) Institute for Anthropomatics Karlsruhe Institute (KIT) Karlsruhe Germany

For Gaussian Assumed Density Filtering based on moment matching, a framework for the efficient calculation of posterior moments is proposed that exploits the structure of the given nonlinear system. The key idea is a careful discretization of some dimensions of the state space only in order to decompose the system into a set of nonlinear subsystems that are conditionally integrable in closed form. This approach is more efficient than full discretization approaches. In addition, the new decomposition is far more general than known RaoBlackwellization approaches relying on conditionally linear subsystems. As a result, the new framework is applicable to a much larger class of nonlinear systems.

关键词： Mathematical model Equations Approximation methods Kalman filters Noise Noise measurement Particle measurements

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A delay system method to design of event-triggered control of networked control systems

A delay system method to design of event-triggered control o...

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IEEE Conference on Decision and Control

作者： Dong Yue Engang Tian Qing-Long Han Department of Control Science and Engineering and the Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Hubei 430074 China School of Electrical and Automation Engineering Nanjing Normal University 78 Bancang Street Nanjing 210042 China Center for Intelligent and Networked Systems and the School of Information and Communication Technology Central Queensland University Rockhampton Qld 4702 Australia

ISBN: (纸本)9781612848006

The event-triggered H_(infinity) control design is investigated for networked control systems with uncertainties and transmission delays. A novel event-triggering scheme is proposed, which has some advantages over traditional ones with a continuous detector. Considering the effect of the transmission delay, a delay system model for the analysis is firstly constructed. Then, based on the model and Lyapunov functional method, criteria for the stability with an H_(infinity) norm bound and criteria for the co-design of both the feedback gain and the trigger parameters are derived. In order to solve the feedback gain and the trigger parameters, the linear matrix inequality technique is employed. From the simulation example, it can be concluded that the proposed event-triggering scheme is superior to some other event-triggering schemes in some existing literature.

关键词： feedback gain Networked control systems Event trigger Delay systems Scheme Co-design control systems design control

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A fully digital auto-focusing system using a priori point spread function dataset

A fully digital auto-focusing system using a priori point sp...

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2010 International Conference on Consumer Electronics, ICCE 2010

作者： Park, Younguk Jeon, Jaehwan Lee, Jinhee Paik, Joonki Image Processing and Intelligent Systems Laboratory Chung-Ang University Seoul Korea Republic of

ISBN: (纸本)9781424443161

This paper presents a fully digital auto-focusing (FDAF) system using a priori obtained point spread function (PSF) dataset. The proposed FDAF algorithm aims at low-cost, affordable consumer's imaging electronics free from either optical or mechanical focusing parts. The proposed algorithm consists of three steps: i) a priori estimation of a set of PSFs, ii) automatic selection of a proper PSF from the blurred input image, and iii) restoration the out-of-focused image by selecting the optimal PSF from the a priori obtained dataset. The proposed algorithm can realize low-cost, high-quality imaging systems, such as digital still cameras, mobile camera phones, and surveillance cameras. ©2010 IEEE.

关键词： Optical transfer function

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Weighted image defogging method using statistical RGB channel feature extraction

Weighted image defogging method using statistical RGB channe...

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2010 International SoC Design Conference, ISOCC 2010

作者： Yoon, Inhye Jeon, Jaehwan Lee, Jinhee Paik, Joonki Department of Image Processing Intelligent Systems Laboratory Chung-Ang University Seoul Korea Republic of

ISBN: (纸本)9781424486335

In this paper, we present a weighted adaptive image defogging method by extracting features in the RGB color channels. We adaptively detect an atmospheric light through undesired fog in the dark channel prior obtained in the YCbCr color channels and generate a transmission map based on the detected atmospheric light. We adaptively remove the fog by applying the color correction algorithm based on the feature extraction in the RGB color channels. The proposed algorithm can overcome the problem of local color distortion, which is known to be the limitations of existing defogging techniques. Experimental results demonstrate that the proposed algorithm can remove image degradation caused by fog, clouds, smoke, and dust in digital imaging devices. ©2010 IEEE.

关键词： Fog

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Ethnicity classification based on gait using multi-view fusion

Ethnicity classification based on gait using multi-view fusi...

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2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010

作者： Zhang, De Wang, Yunhong Bhanu, Bir Intelligent Recognition and Image Processing Laboratory Beihang University Beijing 100191 China Center for Research in Intelligent Systems University of California Riverside CA 92521 United States

ISBN: (纸本)9781424470297

The determination of ethnicity of an individual, as a soft biometrics, can be very useful in a video-based surveillance system. Currently, face is commonly used to determine the ethnicity of a person. Up to now, gait has been used for individual recognition and gender classification but not for ethnicity determination. This paper focuses on the ethnicity determination based on fusion of multi-view gait. Gait Energy image (GEI) is used to analyze the recognition power of gait for ethnicity. Feature fusion, score fusion and decision fusion from multiple views of gait are explored. For the feature fusion, GEI images and camera views are put together to render a third-order tensor (x;y;view). A multilinear principal component analysis (MPCA) is used to extract features from tensor objects which integrate all views. For the score fusion, the similarity scores measured from single views are combined with a weighted SUM rule. For the decision fusion, ethnicity classification is realized on each individual view first. The classification results are then combined to make the final determination with a majority vote rule. A database of 36 walking people (East Asian and South American) was acquired from 7 different camera views. The experimental results show that ethnicity can be determined from human gait in video automatically. The classification rate is improved by fusing multiple camera views and a comparison among different fusion schemes shows that the MPCA based feature fusion performs thebest. © 2010 IEEE.

关键词： Principal component analysis

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Wavelet-based enhancement of color image using combined local variance and entropy analysis

Wavelet-based enhancement of color image using combined loca...

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2010 International Conference on Consumer Electronics, ICCE 2010

作者： Jun, Sinyoung Lee, Eunsung Kim, Sangjin Paik, Joonki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul Korea Republic of

ISBN: (纸本)9781424443161

This paper presents a novel wavelet-based image enhancement approach to reduce noise in a single-sensor color camera. Most traditional noise reduction methods tend to over-suppress high-frequency details. For overcoming this problem we first decompose the input image into flat and edge regions, and adaptively remove noise by multiplying alpha map and wavelet transform coefficients of LH, HL, and HH bands. After removing noise in the flat region, we further remove noise in edge regions by adaptive shrink of wavelet coefficients based on the entropy. Experimental result show the proposed algorithm is proved to be able to reduce noise without losing sharp details and is suitable for commercial low-cost such as digital cameras, CCTV, and surveillance systems. ©2010 IEEE.

关键词： image enhancement

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image restoration using alpha map-based fusion for multiple color aperture computational camera

Image restoration using alpha map-based fusion for multiple ...

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2010 International Conference on Consumer Electronics, ICCE 2010

作者： Lee, Eunsung Maik, Vivek Jun, Sinyoung Kim, Sangjin Paik, Joonki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul Korea Republic of

ISBN: (纸本)9781424443161

We present a novel image restoration approach by fusing multiple images acquired by a multiple color aperture computational camera for overcoming the limit of conventional image restoration algorithms, such as high computational load and post-processing artifacts. The proposed restoration framework utilizes color matching, alignment, and fusion of multiple images acquired by using multiple color apertures. The alpha map-based image fusion step successfully restores high-frequency components of meaningful edge regions. The proposed scheme can achieve automatic focusing and varying depth of filed at low cost for low-end consumer cameras. ©2010 IEEE.

关键词： Color

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