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检索条件"主题词=Detection algorithms"

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Storage-Based Anomaly Intrusion detection Technology Based on D-S Evidence Theory

Storage-Based Anomaly Intrusion Detection Technology Based o...

引用

International Conference on Computer and Electrical Engineering, ICCEE

作者： Jingfeng Xue Fengnian Zhao Xiaolin Zhao Gang Shu School of Software Beijing Institute of Technology Beijing China

The storage operation of normal process in host system is analyzed and an anomaly intrusion detection method based on d-s evidence theory for storage system is proposed. The detector fuses multiple signatures of storage data to decide whether the storage operation flow is normal. Furthermore, six groups of light-computation signatures of storage operation data are used to develop an efficient fusion mechanism to guarantee high performance of the algorithm. Experiment shows that high detection rate can be achieved by such fusion.

关键词： Intrusion detection Statistics Probability Computational complexity Quantization Detectors Fuses detection algorithms Galois fields Uncertainty

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An effective dissolve detection approach with temporal and spatial considerations

An effective dissolve detection approach with temporal and s...

引用

International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Wang Yao Guangtao Zhai Jianfei Cai School of Computer Engineering Nanyang Technological University Singapore

Dissolves are the basic artificial effects of gradual transitions in video sequences, which are widely used in TV programs and movies. Through dissolve detection, interesting and important video temporal segments can be easily located and indexed for various applications. In this paper, we present an effective dissolve detection algorithm, which takes into account the dissolve properties in both temporal and spatial domains. In particular, in the temporal domain, we use frame difference to capture the dissolve characteristics. In the spatial domain, the central area is given bigger weight than the four sides. Experimental results show a good performance of our proposed algorithm.

关键词： Layout detection algorithms Video compression Robotics and automation Video sequences Gunshot detection systems Machine learning algorithms Image coding Automatic control Robot control

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Parallel collision detection algorithm based on mixed BVH and OpenMP

Parallel collision detection algorithm based on mixed BVH an...

引用

International Conference on System Simulation and Scientific Computing, ICSC

作者： Wei Zhao Rui-pu Tan Wen-hui Li College of Computer Science & Technology Jilin University Changchun China School of Computer Science & Engineering Changchun University of Technology China

Concerning the requirements of real-time and accurate collision detection in interactive system, we propose a shared memory parallel collision detection algorithm. First we incorporate the merits of both AABB bounding box and bounding spheres to construct a hybrid bounding representation of arbitrary non-convex polyhedra (S-AABB) for attaining speed, and then use OpenMP parallel programming model to traversal the built hybrid bounding volume hierarchy, so further accelerate the collision detection algorithm. At last, experiments results have shown that our algorithm is advantageous over other current typical collision detection algorithms such as I-COLLIDE [1] regarding efficiency and accuracy, so can meet the real-time and accurate requirements in complex interactive virtual environment.

关键词： detection algorithms Testing Virtual environment Computer science Virtual reality Space technology Concurrent computing Computational geometry Robot control Object detection

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Low-complexity receivers for multiuser detection with an unknown number of active users

Low-complexity receivers for multiuser detection with an unk...

引用

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

作者： Daniele Angelosante Ezio Biglieri Marco Lops DAEIMI Università di Cassino Cassino Italy Departament de Tecnologia Universitat Pompeu Fabra Barcelona Spain

In multiuser detection, the set of users active at any time may be unknown to the receiver. A two-step detection procedure, in which multiuser detection is preceded by active-user identification, is suboptimum. The optimum solution consists of detecting simultaneously the set of active users and their data, problem that can be solved exactly by applying random-set theory (RST). However, implementation of optimum detectors can be limited by their complexity, which grows exponentially with the number of potential users. In this paper we illustrate how the complexity of optimum can be reduced. In particular, sphere detection (SD) techniques (possibly in an approximate version) are examined.

关键词： Multiuser detection Detectors Signal detection Complexity theory Stochastic processes Estimation theory Parameter estimation detection algorithms Maximum likelihood estimation Tree graphs

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QRD-QLD Searching Based Sphere detection for Emerging MIMO Downlink OFDM Receivers

QRD-QLD Searching Based Sphere Detection for Emerging MIMO D...

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IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

作者： Predrag Radosavljevic Kyeong Jin Kim Joseph R. Cavallaro Department of Electrical and Computer Engineering Rice University Houston TX USA Nokia Corporation Irving TX USA

In this paper, a detection algorithm with parallel partial candidate-search algorithm is presented. Two fully independent partial search processes are simultaneously employed for two groups of transmit antennas based on QR and QL decompositions of the channel matrix. Proposed QRD- QLD detection algorithm is compared with well-known QRD-M scheme adopted for several emerging wireless standards. Latency of the QRD-QLD candidate search is about twice as small for similar error-rate performance and for identical hardware resources. Total detection latency of QRD-QLD algorithm that also includes computation of soft information for outer decoder is also substantially smaller.

关键词： MIMO Downlink OFDM Receiving antennas Transmitting antennas Delay detection algorithms Parity check codes Maximum likelihood decoding Computational complexity

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A Scientific Theme Emergence detection Approach Based on Citation Graph Analysis

A Scientific Theme Emergence Detection Approach Based on Cit...

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International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Tieyun Qian Phillip C-Y Sheu Shijun Li Lina Wang Wuhan University Wuhan Hubei CN Department of EECS University of California Irvine USA Computer School Wuhan University China

Citation graph analysis has been used to evaluate the significance of documents and authors, or to estimate the impact of publication venues. In this paper, we investigate its new application in topic identification. We first model the communities in the citation graph as related documents on a specific topic. And then, a scientific theme detection algorithm is proposed based on community partition, attempting to identify the emergency of a new theme by tracking the change of the community where the top cited nodes lie in. Experimental results on real dataset show that the proposed method can detect new topic timely with only a subset of data.

关键词： Citation analysis detection algorithms Artificial intelligence Software engineering State estimation Application software Fuses Costs History

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Road detection using segmentation by weighted aggregation based on visual information and a posteriori probability of road regions

Road detection using segmentation by weighted aggregation ba...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： T.T. Son S. Mita A. Takeuchi Department of Electronics and Information Toyota Technological Institute Nagoya Japan

In this paper, a road detection method based on an image segmentation algorithm is presented. Road detection process is a key issue for an autonomous driving system in urban environment. Image-based road detection algorithm is applied on sources of visual information recorded by cameras when our car is running on road. Our method combines a posteriori probability and visual information for image segmentation. The method is composed of two steps. Firstly, a road identifier is trained with supervised learning algorithm. Secondly, road regions are detected by combining a posteriori probability and visual information using image segmentation algorithm. Experimental results are presented for road images in actual driving video acquired in urban areas.

关键词： Roads Image segmentation Laser modes Robustness detection algorithms Cameras Supervised learning Urban areas Surface texture Image edge detection

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Boundary matching based translucent TV logo detection

Boundary matching based translucent TV logo detection

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IEEE Signal Processing and Communications Applications (SIU)

作者： Tugrul K. Ates Ersin Esen Ahmet Saracoglu A. Aydin Alatan Elektrik ve Elektronik Mühendisliği Bölümü Orta Doğu Teknik üniversitesi Turkey TÜBİTAK Uzay Teknolojileri Araştırma Enstitüsü

Increasing trend in the usage of translucent television logos by broadcast channels renders opaque logo detection algorithms inadequate. Important applications such as identification of broadcast types make the detection of translucent logos a significant requirement. This paper presents a method for detecting translucent television logos in video streams. Firstly, boundary information of the logo, which will be searched in broadcast stream, is extracted manually. This search is carried out by comparing the edge map of the luminance channel of the interest region with inner and outer contours of the logo using different metrics. Performance is increased by utilization of temporal redundancies and solutions to special problematic cases. Furthermore, traces of the logo boundaries are examined in chrominance channels of video frames in order to eliminate false alarms caused by opaque logos with the same boundaries. Promising results indicate the applicability of the method in real life.

关键词： TV Streaming media Histograms Robustness Art Reactive power detection algorithms

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An Improved Algorithm for Roadside Change detection with Shadow Correction

An Improved Algorithm for Roadside Change Detection with Sha...

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IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Priya Ganapathy Julie A. Skipper Daniel W. Repperger Department of Biomedical Industrial & Human Factors Engineering Wright State University Dayton OH USA Air Force Research Laboratory RHCV Wright-Patterson AFB Dayton OH USA

To supplement our multimodal object detection system, designed to identify `suspicious' objects along a roadside during troop movement, we have implemented a change detection feature. As a pre-processing step, a shadow-removal algorithm is introduced to minimize false positives and false negatives caused by temporal variations in natural light.

关键词： Change detection algorithms Object detection Layout Computer vision Lighting detection algorithms Image analysis Pixel Light sources Real time systems

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Reliable interest point detection under large illumination variations

Reliable interest point detection under large illumination v...

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IEEE International Conference on Image Processing

作者： Murat Gevrekci Bahadir K. Gunturk Department of Electrical and Computer Engineering Louisiana State University Baton Rouge LA USA

Most interest point detection algorithms are highly sensitive to illumination variations. This paper presents a method to detect interest points robustly under large photometric changes. The method, which we call contrast invariant feature transform (CIFT), determines salient interest points in an image by calculating and processing contrast signatures. A contrast signature shows the response of an interest point detector with respect to a set of contrast stretching functions. The method is generic and can be used with most interest point detectors. In this paper, we demonstrate how CIFT improves the repeatability rate of the Harris corner detector.

关键词： Lighting Detectors Computer vision Autocorrelation detection algorithms Photometry Eigenvalues and eigenfunctions Histograms Robustness Feature extraction

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