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检索条件"主题词=Detection Algorithms"

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The vision-based vehicle detection and incident detection system in Hsueh-Shan tunnel

The vision-based vehicle detection and incident detection sy...

引用

IEEE International Symposium on Industrial Electronics (ISIE)

作者： Bing-Fei Wu Chih-Chung Kao Chih-Chun Liu Chung-Jui Fan Chao-Jung Chen Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan

The automatic lane marking detection, vehicle detection and incident detection systems are proposed in this paper. The block-based background extraction that combines statistical algorithm and the moving block information is used to obtain the color background image more exactly. The lane detection algorithm is applied to obtain the lane information from the color background image without the limitation of the camera setting. The presented vehicle detection algorithm is a block-based approach which is widely used in highway systems, urban roadways or tunnels. Different applications adopt the different detection zones where the vehicles will be tracked and identified in. The presented incident detection algorithm focuses on the car stopped, vehicle lane changing, and congestion condition, and the experimental results in Hsueh-Shan tunnel are addressed, which also demonstrate the stability and the effectiveness of the proposed methods.

关键词： Vehicle detection Vehicles Traffic control detection algorithms Telecommunication traffic Cameras Object detection Neural networks Chaos Control engineering

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Robust People detection by Fusion of Evidence from Multiple Methods

Robust People Detection by Fusion of Evidence from Multiple ...

引用

International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS

作者： Víctor Fernández-Carbajales Miguel Ángel García García José M. Martínez Grupo de Tratamiento de Imágenes Universidad Autónoma de Madrid Madrid Spain

This paper describes and evaluates an algorithm for real-time people detection in video sequences based on the fusion of evidence provided by three simple independent people detectors. Experiments with real video sequences show that the proposed integration-based approach is effective, robust and fast by combining simple algorithms.

关键词： Robustness Detectors Image analysis Video sequences Image color analysis Pixel Image sequence analysis Humans Legged locomotion detection algorithms

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New Word detection Algorithm for Chinese Based on Extraction of Local Context Information

New Word Detection Algorithm for Chinese Based on Extraction...

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2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

作者： Hua-Lin Zeng Chang-Le Zhou Xiao-Dong Shi Tang-Qiu Li Chang Su Department of Cognitive Science Xiamen UniversityXiamen 361005China

Chinese segmentation is an important issue inChinese text *** traditional segmentationmethods those depend on an existing dictionary sufferthe drawbacks when encounter unknown *** proposed a segmenting algorithm for Chinesebased on extracting local context *** addedthe context information of the testing text into the localPPM statistical model so as to guide the detection ofnew *** algorithm focusing on the process ofonline segmentation and new word detection achievesa good effect in the close or opening test,andoutperforms some well-known Chinese segmentationsystem to a certain extent.

关键词： detection algorithms Data mining Hidden Markov models Natural languages Predictive models Intelligent systems Knowledge engineering Testing Context modeling Decoding

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Development of defect detection algorithm in cold rolling

Development of defect detection algorithm in cold rolling

引用

International Conference on Control, Automation and Systems ( ICCAS)

作者： Sung Wook Yun NamWoong Kong Gyumin Lee PooGyeon Park Department of Electronic and Electrical Engineering POSTECH Pohang South Korea South Korea

In this paper, we propose the defect detection algorithm using the image processing in cold rolling. This algorithm consists of two separated parts: defect detection of the steel sheet in a rolling process and defect detection of the cutting plane in a side trimming process. The objective of the crack and hole detection is to find the position and diameter of holes and some information of cracks such as the depth, width, position, and type. Furthermore, the objective of the defect detection for the cutting plane is to find the position of defects on the cutting plane, the number of those, and the thickness ratio between the cutting plane and the cold rolled steel sheets. Experimental results show that the proposed algorithm finds the defect information of cold rolled steel sheets satisfying the processing-speed constraint of 30 frames/sec.

关键词： detection algorithms Steel Image processing Production Reflection Automatic control Control systems Automation Manufacturing industries Productivity

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Mobility-Pattern-Based Anomaly detection Algorithm in Mobile Networks

Mobility-Pattern-Based Anomaly Detection Algorithm in Mobile...

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IEEE International Conference on Communications (ICC)

作者： C. Cai A. Gupta Department of Computer Science Western Michigan University USA

Numerous approaches have been proposed for intrusion detection in immobile networks. However, little research work has been done in actually implementing them, especially for anomaly detection, in mobile networks. In this paper, we present an efficient mobility-pattern-based (MPB) anomaly detection algorithm. It can effectively identify abnormal mobility patterns of the nodes in mobile networks. In the proposed algorithm, the normal mobility profile of a specific node is characterized by a multi-leaf tree structure in which each node corresponds to a possible destination cluster. A normal mobility profile is generated during the training process through data mining and fuzzy logic techniques. More specifically, data mining techniques are used for cluster classifications, and fuzzy logic techniques are used to integrate the 'similar'' pattern strings after the corresponding cluster generation. These two techniques are also used during the testing process for distinguishing abnormal mobility patterns of the node from those of the normal in mobile networks. Simulation results demonstrate that our proposed MPB anomaly detection algorithm can achieve good performance in terms of detection rate and false alarm rate for nodes with regular movement behaviors by fine tuning the design parameter - threshold, that can be chosen efficiently.

关键词： detection algorithms Intrusion detection Peer to peer computing Algorithm design and analysis Computer science Data mining Fuzzy logic Protection Communications Society Mobile computing

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Immune feedback control algorithm for information detection

Immune feedback control algorithm for information detection

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IEEE International Conference on Automation and Logistics

作者： Ya-jing Zhang Institute of Computer Science & Technology Yantai University Yantai Shandong China

ISBN: (纸本)9781424425020

On the basis of biological immune control and response mechanism, a way of immune feedback control for information anomaly detection is presented. Such problems as immune detection mechanisms and mathematic model are discussed. Shown on the experiments results, the algorithm joined immune feedback provides a dynamic detecting way and keeps stability of detection. Its detecting efficiency is increased obviously.

关键词： Immune system Detectors Biology Algorithm design and analysis detection algorithms Computers Feedback control

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A Cloud Change detection Algorithm in MODIS Image Based on Mask Dodging Technique

A Cloud Change Detection Algorithm in MODIS Image Based on M...

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Congress on Image and Signal Processing, CISP

作者： Qingwu Hu Qingquan Li Wuhan University Wuhan Hubei CN School of Remote Sensing and Information Engineering Wuhan University of China China

In this paper, a mask dodging processing is designed to change the character values of the cloud area and cloud shadow greatly while the normal exposure area in the image can hold these values or change little. A change detection algorithm between the original image and dodging image is proposed to get the cloud area and cloud shadow which calculate and appraisal the feature value together in the spatial field, frequency field and texture field for the precision extraction without knowing the concrete quality descending function, the cloud atmosphere aerosol property and edge model and can position and determine on the nature of the cloud area and cloud shadow position. The detection experiments of cloud area and cloud shadow in the MODIS image show the high detection precision and itpsilas superior to the accurate of classification with ERDAS software.

关键词： Clouds detection algorithms MODIS Process design Appraisal Frequency Concrete Atmosphere Aerosols Image edge detection

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Robust Packet detection Algorithm for DBO-CSS

Robust Packet Detection Algorithm for DBO-CSS

引用

International Conference on Networking (ICN)

作者： Seong-hyun Jang Sang-hun Yoon Jong-wha Chong Department of Electrical and Computer Engineering Hanyang University Seoul South Korea

In this paper, we propose a robust packet detection algorithm for the differentially bi-orthogonal chirp-spread-spectrum (DBO-CSS). The conventional packet detection algorithms based on auto-correlation cannot avoid side band noise because of the band hopping property of the DBO-CSS. If we, therefore, use the conventional packet detection algorithms in the DBO-CSS, the performance degradation of the packet detector will break out. First, the proposed detector includes matched filters to eliminate the side band noise. Second, the proposed detector also includes auto-correlators in order to make outputs of matched filters inphase. Finally, the proposed detector gathers the energy of all sub-chirps by the summation. When we use the Permutator, the proposed detector works regardless of piconet. Simulation results show that we can detect packets in -4 dB SNR in AWGN channel and also in 0 dB in multipath channel.

关键词： detection algorithms Detectors Noise robustness Additive white noise Gaussian noise Matched filters Chirp Autocorrelation Degradation Personal area networks

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Rotation Symmetry Group detection Via Frequency Analysis of Frieze-Expansions

Rotation Symmetry Group Detection Via Frequency Analysis of ...

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26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), vol.12

作者： Seungkyu Lee Robert T. Collins Yanxi Liu Department of Computer Science and Engineering Pennsylvania State University USA Dept. of Electrical Engineering The Pennsylvania State University USA

We present a novel and effective algorithm for rotation symmetry group detection from real-world images. We propose a frieze-expansion method that transforms rotation symmetry group detection into a simple translation symmetry detection problem. We define and construct a dense symmetry strength map from a given image, and search for potential rotational symmetry centers automatically. Frequency analysis, using Discrete Fourier Transform (DFT), is applied to the frieze-expansion patterns to uncover the types and the cardinality of multiple rotation symmetry groups in an image, concentric or otherwise. Furthermore, our detection algorithm can discriminate discrete versus continuous and cyclic versus dihedral symmetry groups, and identify the corresponding supporting regions in the image. Experimental results on over 80 synthetic and natural images demonstrate superior performance of our rotation detection algorithm in accuracy and in speed over the state of the art rotation detection algorithms.

关键词： Frequency detection algorithms Reflection Computer vision Image edge detection Image analysis Discrete Fourier transforms Algorithm design and analysis Computer science Discrete transforms

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Unsupervised Change detection in High Resolution Satellite Imagery from Fusion of Spectral and Spatial Information

Unsupervised Change Detection in High Resolution Satellite I...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Yonghong Li Curt H. Davis Department of Electrical & Computer Engineering University of Missouri Columbia USA

In this paper, we present an unsupervised change detection approach that combines pixel-based local Haar-like features, color information, vegetation index, and man-made structure features using fuzzy logic rules to provide multi-level change detection results. An illumination invariant descriptor for each pixel is introduced to describe a Haar-like feature in a local area. Hue is used as a color feature in our change detection method. For the purpose of enhancing the change area with man-made structures, we de-weight the level of detected change areas where there are no man-made objects. The comparison of all features is done separately and the decision results are then combined under seven fuzzy logic rules to provide multi-level change detection results. The performance of the change detection is evaluated qualitatively by visual inspection and quantitatively using ground truth. The quantitative test results show that more than 90% of changes are correctly detected.

关键词： Spatial resolution Image resolution Satellites Image edge detection Vegetation mapping Lighting detection algorithms Image storage Fuzzy logic Object detection

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