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检索条件"主题词=Detection algorithms"

共 7359 条记录，以下是231-240 订阅

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Automatic ground-truthing using video registration for on-board detection algorithms

Automatic ground-truthing using video registration for on-bo...

引用

IEEE International Conference on Image Processing

作者： José M. Álvarez Ferran Diego Antonio M. López Joan Serrat Daniel Ponsa Computer Vision Center and Computer Science Department Autonomous University of Barcelona Spain

Ground-truth data is essential for the objective evaluation of object detection methods in computer vision. Many works claim their method is robust but they support it with experiments which are not quantitatively assessed with regard some ground-truth. This is one of the main obstacles to properly evaluate and compare such methods. One of the main reasons is that creating an extensive and representative ground-truth is very time consuming, specially in the case of video sequences, where thousands of frames have to be labelled. Could such a ground-truth be generated, at least in part, automatically? Though it may seem a contradictory question, we show that this is possible for the case of video sequences recorded from a moving camera. The key idea is transferring existing frame segmentations from a reference sequence into another video sequence recorded at a different time on the same track, possibly under a different ambient lighting. We have carried out experiments on several video sequence pairs and quantitatively assessed the precision of the transformed ground-truth, which prove that our approach is not only feasible but also quite accurate.

关键词： detection algorithms Video sequences Cameras Lighting Robustness Computer vision Vehicles Roads Layout Computer science

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Polarimetric approach to detection of probable aircraft icing zones. Icing detection algorithms

Polarimetric approach to detection of probable aircraft icin...

引用

European Conference on Microwave

作者： A.A. Pitertsev F.J. Yanovsky Department of Air Navigation Systems National Aviation University Kiev Ukraine

Aircraft icing is a dangerous meteorological phenomenon. Most important conditions for growing of ice coating on aircraft body or wings are presence of Supercooled Liquid Water (SLW) drops, high humidity and negative temperature of air. Remote sensing of the clouds with the help of polarimetric radar can detect the SLW in cloud. It can be used to avoid dangerous situations during the flight. Mathematical simulation of microwave backscattering from ice crystals of different forms and water drops in rain and clouds have been done. Different icing detection algorithms are described and analyzed.

关键词： Aircraft detection algorithms Clouds Ice Meteorology Coatings Humidity Temperature sensors Remote sensing Meteorological radar

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Hyperspectral signal models and implications to material detection algorithms

Hyperspectral signal models and implications to material det...

引用

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

作者： D. Manolakis MIT Lincoln Laboratories Lexington MA USA

The paper presents a concise overview of hyperspectral signal models and the target detection algorithms resulting from their adoption. We focus on detection algorithms derived using established statistical techniques and whose performance is predictable under reasonable assumptions about hyperspectral imaging data. We show that the family of elliptically contoured distributions (ECDs), in general, and the t-ECD, in particular, provide a more accurate model for hyperspectral backgrounds, compared to the widely used multivariate normal distribution. Since many detection algorithms derived for normal distributions apply to ECDs as well, the ECD models provide a better framework for modeling and analyzing hyperspectral imaging data.

关键词： detection algorithms Hyperspectral imaging Hyperspectral sensors Object detection Testing Gaussian distribution Electromagnetic measurements Mathematical model Laboratories Data analysis

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Soft-decision output at sequential detection algorithms in digital mobile radio systems

Soft-decision output at sequential detection algorithms in d...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： G. Zimmermann W. Rupprecht Institute of Communication Engineering University of Kaiserslautern Kaiserslautern Germany

To improve the performance of the channel decoding in receivers for digital mobile radio systems the detector should be able to deliver reliability information about the symbol decisions (soft-decision). This paper is concerned with procedures which allow a soft-decision output at sequential detection algorithms. Simulation results obtained with these algorithms for the GSM system show the achievable gain over hard-decision detectors and allow a comparison to the more complex Soft-Output Viterbi-algorithm.< >

关键词： detection algorithms Land mobile radio GSM Detectors Maximum likelihood estimation Speech Maximum likelihood decoding Receivers Data communication Fading

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Detecting and Diagnosing Anomalous Behavior in Large Systems with Change detection algorithms

Detecting and Diagnosing Anomalous Behavior in Large Systems...

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IEEE International Conference on Software Reliability Engineering Workshops (ISSRE Wksp)

作者： Veena Mendiratta Zhuoran Liu Mrinmoy Bhattacharjee Yu Zhou Nokia Bell Labs Naperville IL USA Nokia Naperville IL USA

Large telecommunications networks are designed to achieve high reliability with hardware and software redundancy that is managed through complex fault-tolerant mechanisms for error detection and recovery. Because of the fault tolerant mechanisms, when errors do occur they do not always cause failures and, hence, it can be difficult to detect anomalous behavior of the system and to determine its root cause. In this paper, using sequential system performance data, we present the application of multivariate change detection algorithms and visual analytics methods for detecting and diagnosing anomalous behavior with low latency in telecommunications systems. Such methods, coupled with domain knowledge, are efficient and effective for detecting and diagnosing anomalies as compared to log analysis. We demonstrate our methods with real data from a large system.

关键词： detection algorithms Correlation Bayes methods Data analysis Cost function Telecommunications Time series analysis

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FraudVis: Understanding Unsupervised Fraud detection algorithms

FraudVis: Understanding Unsupervised Fraud Detection Algorit...

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Pacific (formerly Asia-Pacific APVIS) Visualization Symposium

作者： Jiao Sun Qixin Zhu Zhifei Liu Xin Liu Jihae Lee Zhigang Su Lei Shi Ling Huang Wei Xu Institute of Interdisciplinary Information Sciences Tsinghua University SKLCS Chinese Academy of Sciences ***

Discovering fraud user behaviors is vital to keeping online websites healthy. Fraudsters usually exhibit grouping behaviors, and researchers have effectively leveraged this behavior to design unsupervised algorithms to detect fraud user groups. In this work, we propose a visualization system, FraudVis, to visually analyze the unsupervised fraud detection algorithms from temporal, intra-group correlation, inter-group correlation, feature selection, and the individual user perspectives. FraudVis helps domain experts better understand the algorithm output and the detected fraud behaviors. Meanwhile, FraudVis also helps algorithm experts to fine-tune the algorithm design through the visual comparison. By using the visualization system, we solve two real-world cases of fraud detection, one for a social video website and another for an e-commerce website. The results on both cases demonstrate the effectiveness of FraudVis in understanding unsupervised fraud detection algorithms.

关键词： Feature extraction detection algorithms Data visualization Image color analysis Visualization IP networks Correlation

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Quantitative Analysis of QRS detection algorithms Based on the First Derivative of the ECG

Quantitative Analysis of QRS Detection Algorithms Based on t...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Natalia M. Arzeno Chi-Sang Poon Zhi-De Deng Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA NIH USA Harvard MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge MA USA Department of Electrical Engineering and Computer Science and the Department of Physics Massachusetts Institute of Technology Cambridge MA USA

Accurate processing of electrocardiogram (ECG) signals requires a sensitive and robust QRS detection method. In this study, three methods are quantitatively compared using a similar algorithm structure but applying different transforms to the differentiated ECG. The three transforms used are the Hilbert transformer, the squaring function, and a second discrete derivative stage. The first two have been widely used in ECG and heart rate variability analysis while the second derivative method aims to explain the success of the Hilbert transform. The algorithms were compared in terms of the number of false positive and false negative detections produced for records of the MIT/BIH Arrhythmia Database. The Hilbert transformer and the squaring function both produced a sensitivity and positive predictivity of over 99%, though the squaring function had a lower overall detection error rate. The second derivative resulted in the highest overall detection error rate. Different algorithms performed better for diverse ECG characteristics; suggesting that an algorithm can be specified for different recordings, the algorithms can be combined based on each one's characteristics to determine a new more accurate method, or an additional detection stage can be added to reduce the number of false negatives

关键词： Algorithm design and analysis detection algorithms Electrocardiography Heart rate variability Discrete transforms Databases Signal processing Band pass filters Error analysis Cities and towns

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Performance analysis of a class of transient detection algorithms

Performance analysis of a class of transient detection algor...

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

作者： B. Porat B. Friedlander Department of Electrical Engineering Technion-Israel Institute of Technology Haifa Israel Department Electrical Engineering & Computer Sc University of California Davis CA USA

The detection of transient signals is often performed in the time-frequency transform domain. An analytical framework is developed within which the performance of different detectors based on linear transforms can be easily compared, for different classes of signals. This framework is used to evaluate and compare the performance of detectors based on the Gabor (1946) transform and on the short-time Fourier transform.< >

关键词： Performance analysis Transient analysis detection algorithms Fourier transforms Detectors Gaussian noise Time frequency analysis Noise measurement Signal detection Signal analysis

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Exploring Community detection algorithms for Analyzing Dark Web Networks

Exploring Community Detection Algorithms for Analyzing Dark ...

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International Conference on Computing Communication Control and Automation (ICCUBEA)

作者： Ashwini Dalvi Irfan Siddavatam Abhijeet Pasi K.J Somaiya College of Engineering Somaiya Vidyavihar University India

ISBN: (数字)9798350391770

ISBN: (纸本)9798350391787

The "dark web" is a term used to describe a network of websites not indexed by traditional search engines and can only be accessed through specific software, such as Tor (The Onion Router). The dark web has gained a reputation for hosting various activities, including illegal marketplaces, forums, and communication channels. In the context of the dark web, researchers have conducted studies to analyze its topology to understand its organization and characteristics of the dark *** study proposes an approach for community detection in the dark web using a combination of graph theory and machine learning techniques. A graph representation of the dark web is constructed using data collected from Tor dark web. Three popular community detection algorithms, namely Leiden, Louvain, and Label Propagation, are applied to crawled dark web data. The evaluation of these algorithms on a dataset of the dark web demonstrated its effectiveness in identifying meaningful communities. The results obtained from these approaches can provide valuable insights into the organization and structure of the dark web, which can benefit law enforcement agencies and cybersecurity researchers in their efforts to comprehend activities on the dark web.

关键词： Dark Web Machine learning algorithms Law enforcement Organizations Machine learning Search engines Graph theory Software Topology detection algorithms

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Comparative assessments of peak detection algorithms for underwater laser ranging

Comparative assessments of peak detection algorithms for und...

引用

OCEANS

作者： Hsin-Hung Chen Chau-Chang Wang Fu-Chuan Hung Institute of Undersea Technology NCKU-NSYSU Research Center of Ocean Environment and Technology National Sun Yat-Sen University Kaohsiung Taiwan

ISBN: (纸本)0780386698

The cross-section of a laser beam is almost impossible of a perfect circular shape; without doubting most of the cross-sections of laser beams are nearly in ellipse-like form. Therefore, by using an ellipse-like laser beam cross-section for underwater range finding, we are really interested in understanding the quality of range finding with different peak detection algorithms. According to our previous results, we found that the peak detection algorithm of illumination center is good for estimating the location of the laser spot in the image. However, background noise is still a serious problem while selecting a square of pixels for centroid calculation. In this paper, we modified the illumination center to a different algorithm which introduces the technique of the principal component analysis (PCA) to the centroid calculation. This algorithm restricts the selection of pixels to a region within an ellipse for centroid calculation. According to the results of range finding, we found that the ranging quality achieved by using the algorithm of the modified illumination center is much better than that obtained by using the algorithm of the illumination center. Therefore, the algorithm of the modified illumination center is proved to be effective to reduce the effect of background noise on range finding. Also, this result demonstrates that the way of selecting effective pixels for centroid calculation plays an important role.

关键词： detection algorithms Laser beams Lighting Background noise Laser noise Image processing Marine technology Principal component analysis Merging Oceans

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