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检索条件"主题词=change detection algorithms"

共 1588 条记录，以下是681-690 订阅

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COMBINATION OF THERMAL AND COLOR IMAGES FOR ACCURATE FOREGROUND / BACKGROUND SEGMENTATION IN OUTDOOR ENVIRONMENT

COMBINATION OF THERMAL AND COLOR IMAGES FOR ACCURATE FOREGRO...

引用

IEEE International Conference on Image Processing

作者： Louis St-Laurent Donald Prévost Xavier Maldague National Optics Institute Quebec City Quebec Canada Department of Electrical and Computer Engineering Laval University Quebec City Quebec Canada

ISBN: (纸本)9781479923427

In the context of outdoor video surveillance, this paper attempts to answer the following question: how to combine LWIR and color information in order to optimize foreground / background segmentation accuracy. Starting from an improved state-of-the-art color-based approach, we integrated thermal information into the algorithm with a pixel-level analytical fusion technique. Considering that very few public thermal / color video databases are available, we built our own acquisition platforms to grab numerous co-registered LWIR / color videos in a variety of outdoor conditions. We manually generated the pixel-based ground-truth for a representative selection of these sequences and performed a quantitative performance analysis. We demonstrated, among others, that the combination of thermal and color information proposed outperformed the use of a single spectral band in all tested visibility conditions.

关键词： Sensor fusion change detection algorithms outdoor video surveillance thermal imaging object tracking change detection algorithms Sensor fusion Thermography Thermal OUTDOOR ENVIRONMENT chromatic information tracking objects Color color image spectral bands video monitoring images

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Evaluation of video segmentation methods for surveillance applications

Evaluation of video segmentation methods for surveillance ap...

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European Signal Processing Conference (EUSIPCO)

作者： Kevin McKoen Raquel Navarro-Prieto Benoit Duc Emrullah Durucan Francesco Ziliani Touradj Ebrahimi Motorola Labs UK Basingstoke England Motorola inc. Semiconductor Products Sector Geneva Switzerland Swiss Federal Institute of Technology Lausanne Switzerland

Current research on performance evaluation of video segmentation methods is primarily focussed on the development of objective figures of merit. There is no standardised methodology for subjective evaluations of segmentation performance and these are currently perceived as too onerous. Using an experimental design and data analysis method derived from current practice in experimental psychology, we have explored a performance evaluation procedure that is largely based on subjective assessments. We report on statistically significant differences in perceived performance between three multi-object video segmentation and tracking methods developed for surveillance applications. The assessments were performed by a group each of experts and novices on a wide range of video content.

关键词： Algorithm design and analysis change detection algorithms Image segmentation Signal processing algorithms Lighting Video sequences Multimedia communication

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Anomaly detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering

Anomaly Detection in Time Series of EDFA Pump Currents to Mo...

引用

Machine Learning for Communication and Networking (ICMLCN), IEEE International Conference on

作者： Dominic Schneider Lutz Rapp Christoph Ament Advanced Technology Adtran Meiningen Germany Faculty of Applied Computer Science University of Augsburg Augsburg Germany

ISBN: (数字)9798350343199

ISBN: (纸本)9798350343205

This article proposes a novel fuzzy clustering based anomaly detection method for pump current time series of EDFA systems. The proposed change detection framework (CDF) strategically combines the advantages of entropy analysis (EA) and principle component analysis (PCA) with fuzzy clustering procedures. In the framework, EA is applied for dynamic selection of features for reduction of the feature space and increase of computational performance. Furthermore, PCA is utilized to extract features from the raw feature space to enable generalization capability of the subsequent fuzzy clustering procedures. Three different fuzzy clustering methods, more precisely the fuzzy clustering algorithm, a probabilistic clustering algorithm and a possibilistic clustering algorithm are evaluated for performance and generalization. Hence, the proposed framework has the innovative feature to detect changes in pump current time series at an early stage for arbitrary points of operation, compared to state-of-the-art predefined alarms in commercially used EDFAs. Moreover, the approach is implemented and tested using experimental data. In addition, the proposed framework enables further approaches of applying decentralized predictive maintenance for optical fiber networks.

关键词： change detection algorithms Time series analysis Clustering algorithms Erbium-doped fiber amplifiers Feature extraction Prediction algorithms Entropy

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Digital Watermarking Algorithm for Print-and-Scan Process Used for Printed Matter Anti-counterfeit

Digital Watermarking Algorithm for Print-and-Scan Process Us...

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Congress on Image and Signal Processing, CISP

作者： Dongcheng Shi Qi Wang Chao Liang College of Computer Science and Engineering Changchun University of Technology Changchun Jilin China

In order to solve the pixel divergence problem brought by print and scan process, propose the algorithm that applying stretching contrast grade to adjust image pixel divergence. The parameter setting of this adjusting method uses peak signal noise ratio as standard of measurement, even though using different printer and scanner, we can also get good adjusting image. Simulation results show that the method can improve the effect of watermark detection or extraction effectively. Based on the character that symbol of parts of image’s DCT coefficient will not change, we propose self-adapting resist print and scan digital watermarking algorithm based on partitioning DCT. This algorithm imbed watermark adaptively, it can improve the capability of imbedded watermark and can also maintenance image quality. Experiment result shows that this algorithm can realize anti-counterfeit of soft-cover certificate using watermark technology.

关键词： Watermarking Partitioning algorithms Pixel Discrete cosine transforms change detection algorithms PSNR Measurement standards Noise measurement Printers Resists

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Adaptive detection of moving signal using shallow sea hydroacoustic data

Adaptive detection of moving signal using shallow sea hydroa...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： A.B. Gershman V.A. Zverev Institute of Applied Physics Russian Academy of Science Nizhny Novgorod Russia

The problem of weak moving signal detection and tracking in the presence of strong interference is investigated using the real data of experiment in the Baltic Sea (September 1990) with an underwater horizontal receiving array of 64 hydrophones. The authors employ three very simple adaptive beam-forming algorithms for signal detection and tracking. The signal-to-interference power ratio (SIR) threshold of signal detection was obtained by a special technique, which allows to examine the interference suppression algorithms with change the SIR in consecutive order. The results of real data processing show that the SIR threshold is about -30 dB.< >

关键词： Adaptive signal detection Signal detection Interference suppression Data processing change detection algorithms Underwater tracking Sonar equipment Receiving antennas Spatial coherence Array signal processing

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Auxiliary signal design for detecting changes towards unknown hypotheses

Auxiliary signal design for detecting changes towards unknow...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： F. Kerestecioglu I. Cetin Department of Electrical-Electronic Engineering Boğaziçi University Istanbul Turkey

The effects of auxiliary input signals on detecting changes in CARMA models via statistical tests are discussed. It is assumed that parameters of the system before the change are known whereas those describing the after-change situation are unknown. The performance criteria for the input design are based on the local and asymptotic properties of the test. It is concluded that the optimal input spectrum consists of a finite number of frequencies and that a suitable choice for the input can drastically improve the detection performance.

关键词： Signal design change detection algorithms Signal detection Event detection Algorithm design and analysis Sequential analysis Electronic equipment testing Frequency System testing Electrical equipment industry

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Cooperative robust sequential detection algorithms for Spectrum Sensing in Cognitive Radio

Cooperative robust sequential detection algorithms for Spect...

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International Conference on Ultra Modern Telecommunications and Workshops (ICUMT)

作者： ArunKumar Jayaprakasam Vinod Sharma Electrical Communication Engineering Department Indian Institute of Science Bangalore India

We consider the problem of spectrum sensing in cognitive radio networks. In our previous work we have developed DualCUSUM, a distributed algorithm for change detection and used it for cooperative spectrum sensing. The algorithm is based on sequential change detection techniques which optimally use the past observations. But DualCUSUM requires the knowledge of the channel gains for each of the secondary users. In this work we modify DualCUSUM to develop GLR-CUSUM which can work with imprecise estimates of the channel gains. Next we extend the algorithm to the case where the receiver noise power is also not known exactly. We show that the SNR wall problem encountered in this scenario is not experienced by our algorithm. We also analyze these algorithms theoretically.

关键词： detection algorithms Cognitive radio Uncertainty change detection algorithms Signal to noise ratio Noise robustness White spaces Signal processing algorithms Radiofrequency identification TV broadcasting

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Hardware - software structure for on-line power quality assessment: part I

Hardware - software structure for on-line power quality asse...

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ASME/IEEE Joint Conference on Rail

作者： A.-E. Moussa M. EI-Gammal E.N. Abdallah A.A. EI-Seoud Alexandria Univ. Alexandria University Alexandria EG Alexandria Univ. Egypt

The main objective of the proposed work is to introduce a new concept of advanced power quality assessment. The introduced system is implemented using applications of a set of powerful software algorithms and a digital signal processor based hardware data acquisition system. The suggested scheme is mainly to construct a system for real time detection and identification of different types of power quality disturbances that produce a sudden change in the power quality levels. Moreover, a new mitigation technique through generating feedback correction signals for disturbance compensation is addressed. The performance of the suggested system is tested and verified through real test examples. The obtained results reveal that, the introduced system detects fast and accurately most of the power quality disturbance events and introduces new indicative factors estimating the performance of any supply system subjected to a set number of disturbance events.

关键词： Hardware Software quality Power quality System testing Application software change detection algorithms Software algorithms Signal processing algorithms Digital signal processors Data acquisition

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A new wavelet-based tracking algorithm for rapidly time-varying systems

A new wavelet-based tracking algorithm for rapidly time-vary...

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IEEE/SP Workshop on Statistical Signal Processing (SSP)

作者： Yuanjin Zheng Zhiping Lin Institute of Microelectronics Singapore School of Electrical and Electronic Engineering Nanyang Technological University Singapore

A recursive least squares (RLS) algorithm with selective modification of the system estimation covariance matrix is employed to track the rapidly changing components of system parameters. A new on-line wavelet detector is designed for accurately identifying the changing locations and the branches of changing parameters. Employing theses techniques, the tracking performance of the proposed algorithm to rapidly changing systems can be significantly improved.

关键词： Time varying systems Covariance matrix Resonance light scattering Detectors detection algorithms change detection algorithms Adaptive algorithm Vectors Filtering algorithms Microelectronics

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Hierarchical decision based on higher order statistical on foreground detection in video sequence

Hierarchical decision based on higher order statistical on f...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Tsung-Han Tsai Chung-Yuan Lin Department of Electrical Engineering National Central University Taiwan

An inter-frame segmentation strategy to assist region-based statistical test is presented. It is based on luminance and chromatic morphological algorithm, followed by a higher order statistical test (HOS). The HOS algorithm is suited for very small moving because of the characterization that suppress the statistic of Gaussian-distributed and enlarge the statistic of non-Gaussian-distributed. Due to the experiment result, we design a hierarchical decision to cancel the tracking computation had when one sequence lacking the motion information.

关键词： Video sequences Testing change detection algorithms Higher order statistics Gaussian distribution Gaussian processes MPEG 4 Standard Streaming media Optical noise Tracking

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