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IEEE International conference on Image processing

作者： Goudail, F Galland, FD Refrégier, P Ecole Natl Super Phys Marseille Fresnel Inst UMR 6133 Phys & Image Proc Grp Marseille France

ISBN: (纸本)0780377508

We describe a general framework to design optimal image processing algorithms for polarimetric images formed with coherent radiations, which can be optical or microwave. Starting from the classical speckle model for coherent signals, we show that a wide class of algorithms to perform such tasks as detection, localization and segmentation depend on a simple statistics, which is the determinant of the coherency matrix estimated on a given region of the image. We use this property to design computationally efficient techniques for target/edge detection and image segmentation using statistical active contours and the Minimum Description Length principle.

关键词： Image segmentation

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Automatic detection of dangerous events for underground surveillance

Automatic detection of dangerous events for underground surv...

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IEEE conference on advanced Video and signal Based Surveillance

作者： Spirito, M Regazzoni, CS Marcenaro, L Univ Genoa Dept Biophys & Elect Engn I-16145 Genoa Italy

ISBN: (纸本)0780393856

This paper describes automatic video sequences processing techniques for detecting suspect and dangerous situations within public transportations. Proposed surveillance system is able to raise different kind of warnings and alarms on the basis of the particular detected situation. algorithms used for objects detection and tracking will be described in details and performances will be discussed in relation with alarm conditions that are showed in the sequences that have been made available for this conference. An empty reference image is used for object extraction through image difference. In order to Perform background updating a high level module is implemented taking into account the detected objects and their classification tags. The system has been tested on several sequences showing dangerous events due to human behaviors in a underground station.

关键词： alarm systems feature extraction image sequences object detection surveillance tracking transportation video signal processing automatic detection automatic video sequences processing dangerous events object extraction objects detection public transporta Object detection automatic detection extraction of object Alarm Systems Video signal processing image sequences Feature extraction flat（mining） transport tracking Alarm

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Efficient, high performance subspace based tracking problems

Efficient, high performance subspace based tracking problems

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conference on advanced signal processing algorithms

作者： DOWLING, EM DEGROAT, RD LINEBARGER, DA UNIV TEXAS ERIK JONSSON SCH ENGN & COMP SCIRICHARDSONTX 75083

ISBN: (纸本)0819419222

In this paper, we discuss some issues relevant to efficient, high performance subspace based tracking problems. Efficient subspace updating has been widely applied to target tracking problems. In this paper, we discuss a linear frequency modulated (FM) signal model for approximating slowly time varying narrowband signals that frequently arise in subspace based tracking problems. We also discuss the appropriateness of forward-backward (FB) averaging for increasing the efficiency of subspace updating. We then derive bias expressions for the peak locations of a discrete time Fourier transform spectrum of a linear FM signal. Finally, simulations confirm our bias expressions, and show that FB averaging can enhance the time varying frequency estimation performance of MUSIC over that of forward only averaging.

关键词： Fermium Frequency modulation Sensors Data modeling signal to noise ratio Statistical analysis Spatial frequencies Analytical research Wavefronts Fourier transforms

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Classification of smart video surveillance systems for commercial applications

Classification of smart video surveillance systems for comme...

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IEEE conference on advanced Video and signal Based Surveillance

作者： Sedky, MH Moniri, M Chibelushi, CC

ISBN: (纸本)0780393856

Video surveillance has a large market as the number of installed cameras around us can show. There are immediate commercial needs for smart video surveillance systems that can make use of the existing camera net-work (e.g. CCTV) for more intelligent security systems and to contribute in more applications (beside or) rather than security applications. This work introduces a new classification for smart video surveillance systems depending on their commercial applications. This paper highlights different links between the research and the commercial applications. The work reported here has both research and commercial motivations. Our goals are first to define a generic model of smart video surveillance systems that can meet requirements of strong commercial applications. Our second goal is to categorize different smart video surveillance applications and to relate capabilities of computer vision algorithms to the requirement of commercial application.

关键词： computer vision security surveillance video signal processing commercial applications computer vision algorithms intelligent security systems smart video surveillance systems computer vision video monitoring Video signal processing Accidents,emergencies and safety Security

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Computing the signal subspaces of a sparse and/or structured matrix

Computing the signal subspaces of a sparse and/or structured...

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conference on advanced signal processing - algorithms, Architectures, and Implementations VII

作者： Fierro, RD California State Univ./San Marcos (United States)

ISBN: (纸本)0819425842

Many techniques involve the computation of singular subspaces associated with an extreme cluster of singular values of an m x n data matrix A. Frequently A is sparse and/or structured, which usually means matrix-vector multiplications involving A and its transpose can be done with much less than O(mn) flops, and A and its transpose can be stored in static data structures with much less than O(mn) storage locations. Standard complete orthogonal decompositions may be unattractive due to the computational and dynamic storage overhead associated with the initial preprocessing of the data. We describe an efficient Matlab implementation of the low-rank ULV algorithm for extracting reliable and accurate approximations to the singular subspaces associated with the cluster of large singular values without altering the matrix. The user can choose any principal singular vector estimator to underwrite the algorithm, may call a specialized routine to compute matrix-vector products involving A and its transpose, and can choose the desired level of accuracy of a residual. The main computational savings stems from preserving A and avoiding the explicit formation of unwanted information.

关键词： singular value decomposition singular subspaces signal subspaces ULV decomposition fast algorithms Householder transformations

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NEURAL NETWORK AND CLASSICAL LEAST SQUARES METHODS FOR QUANTITATIVE ANALYSIS IN REMOTE SENSING FTIR SYSTEMS

NEURAL NETWORK AND CLASSICAL LEAST SQUARES METHODS FOR QUANT...

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conference on Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements

作者： WANG, CD WALTER, WT KAGANN, RH AIL SYST INC DEER PKNY 11729

ISBN: (纸本)0819417122

Remote monitoring of molecular species in the atmosphere is accomplished using a Fourier transform infrared (FTIR) spectrometer. advanced processing algorithms utilized by AIL Systems include the classical least squares (CLS) technique as well as a more recently developed approach which combines digital finite impulse response filtering, adaptive sampling, and artificial neural networks (ANN) to improve detection sensitivity and estimation accuracy. This paper presents a comparison between the CLS and the ANN methods in estimating concentrations of multicomponent mixtures. Detection improvement of ANN over CLS has been demonstrated by examining SF₆ in a stack plume and toluene in a laboratory experiment.

关键词： Digital filtering signal processing Filtering (signal processing) FT-IR spectroscopy Neural networks Optical filters Bandpass filters Detection and tracking algorithms Algorithm development Finite impulse response filters

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A Comprehensive Review of Sensors and Instrumentation Methods in Devices for Musical Expression

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SENSORS 2014年第8期14卷 13556-13591页

作者： Medeiros, Carolina Brum Wanderley, Marcelo M. McGill Univ IDMIL CIRMMT Montreal PQ H3A 1E3 Canada

Digital Musical Instruments (DMIs) are musical instruments typically composed of a control surface where user interaction is measured by sensors whose values are mapped to sound synthesis algorithms. These instruments have gained interest among skilled musicians and performers in the last decades leading to artistic practices including musical performance, interactive installations and dance. The creation of DMIs typically involves several areas, among them: arts, design and engineering. The balance between these areas is an essential task in DMI design so that the resulting instruments are aesthetically appealing, robust, and allow responsive, accurate and repeatable sensing. In this paper, we review the use of sensors in the DMI community as manifested in the proceedings of the International conference on New Interfaces for Musical Expression (NIME 2009-2013). Focusing on the sensor technologies and signal conditioning techniques used by the NIME community. Although it has been claimed that specifications for artistic tools are harder than those for military applications, this study raises a paradox showing that in most of the cases, DMIs are based on a few basic sensors types and unsophisticated engineering solutions, not taking advantage of more advanced sensing, instrumentation and signal processing techniques that could dramatically improve their response. We aim to raise awareness of limitations of any engineering solution and to assert the benefits of advanced electronics instrumentation design in DMIs. For this, we propose the use of specialized sensors such as strain gages, advanced conditioning circuits and signal processing tools such as sensor fusion. We believe that careful electronic instrumentation design may lead to more responsive instruments.

关键词： sensor fusion strain gages accelerometers FSR digital musical instruments Do-It-Yourself NIME conference

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Progressive image decoding based on the inverse discrete cosine transform

Progressive image decoding based on the inverse discrete cos...

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conference on advanced signal processing - algorithms, Architectures, and Implementations VII

作者： Winograd, JM Nawab, SH Boston Univ. (United States)

ISBN: (纸本)0819425842

A new architecture is presented for incremental computation of the two-dimensional inverse discrete cosine transform (2D-IDCT) in the context of progressive image decoding. This architecture offers advantages over existing DCT inversion techniques for systems used in conjunction with progressive image coding schemes or those that must operate in environments with severe and/or time-varying resource constraints (e.g. real-time and low-power systems). The use of a bit-serial distributed arithmetic approach comprised of parallel input-pruned 2D-IDCT processing elements enables low-quality image reconstructions to be quickly and efficiently obtained using only a subset of the DCT coefficient bit stream. Initial approximate reconstructions can be improved in subsequent stages of incremental refinement according to the availability of processing resources or DCT coefficient data. Analysis is presented of image degradation at successive stages, illustrating uniform improvement according to quantitative and perceptual criteria.

关键词： progressive image decoding discrete cosine transform incremental refinement approximate processing

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Implementation of Digital Demodulation for Fiber Optic Interferometer Sensors 15th

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15th International conference on Next-Generation Wired/Wireless advanced Networks and Systems (NEW2AN) and 8th conference on Internet of Things and Smart Spaces (ruSMART)

作者： Medvedev, Andrei Berezhnoi, Andrei Kudryashov, Aleksei Liokumovich, Leonid Peter Great St Petersburg Polytech Univ St Petersburg Russia

ISBN: (纸本)9783319231266;9783319231259

The experimental validation of the fiber interferometer signal demodulation method based on the additional phase modulation and digital signal processing is presented. The results obtained for various target signal shapes and different number of samples per modulation period demonstrated the effectiveness of the processing algorithms applied to the interference systems.

关键词： Fiber optic sensor Interferometer Polarization Phase modulation Digital signal processing

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PROPERTIES AND APPLICATIONS OF THE NEW GHOST CANCELLATION REFERENCE signal

PROPERTIES AND APPLICATIONS OF THE NEW GHOST CANCELLATION RE...

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IEEE 1993 INTERNATIONAL CONF ON CONSUMER ELECTRONICS

作者： KOO, D Philips Lab Briarcliff Manor United States

ISBN: (纸本)0780308433

In 1992, the United States advanced Television Systems Committee voted a Ghost Cancellation Reference (GCR) signal as a U.S. standard. This GCR signal belongs to a new class of high energy signals, described below. This paper will concisely analyze the signal, and discuss its properties and its processing. Some effective algorithms and applications in echo/ghost cancellation will also be described.

关键词： Television picture quality

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