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检索条件"主题词=change detection algorithms"

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A Novel Interacting Multiple Model Algorithm Based on Multi-sensor Optimal Information Fusion Rule

A Novel Interacting Multiple Model Algorithm Based on Multi-...

引用

2009 American Control Conference (ACC 2009)

作者： Xiaoyan Fu Yingmin Jia Junping Du Shiying Yuan Seventh Research Division Beihang University (BUAA) Beijing 100083 P.R. China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 P.R. China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan P.R. China

ISBN: (纸本)9781424445233

In this paper, a novel interacting multiple model (IMM) algorithm is proposed, which utilizes a multi-sensor optimal information fusion rule to combine multiple models in the linear minimum variance sense instead of famous Bayes' rule. Furthermore, the diagonal matrices are used as the updated weights of models, which are applied to distinguish the effects produced by different dimensions of state, so the new algorithm is named as diagonal interacting multiple model (DIMM) algorithm. Extensive Monte Carlo simulations indicate that the proposed DIMM algorithm has better accuracy of estimation than the IMM algorithm with no increase in the execution time, which confirm that the DIMM algorithm is a competitive alternative to the classical IMM algorithm.

关键词： Covariance matrix State estimation change detection algorithms Laser radar Optimal control Radar tracking Target tracking Radar detection Laser modes Laser transitions

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Anomaly intrusion detection for system call using the soundex algorithm and neural networks

Anomaly intrusion detection for system call using the sounde...

引用

IEEE Symposium on Computers and Communications (ISCC)

作者： ByungRae Cha B. Vaidya Seungjo Han Department of Computer Engineering Honam University South Korea Department of Electronics & Computer Engineering Tribhuvan University Nepal Department of Information & Communication Engineering Chosun University South Korea

To improve the anomaly intrusion detection system using system calls, this study focuses on supervisor learning neural networks using the soundex algorithm which is designed to change feature selection and variable length data into a fixed length learning pattern. That is, by changing variable length sequential system call data into a fixed length behavior pattern using the soundex algorithm, this study conducted neural learning by using a backpropagation algorithm. The proposed method and N-gram technique are applied for anomaly intrusion detection of system call using sendmail data of UNM to demonstrate its performance.

关键词： Intrusion detection Neural networks Computer networks Backpropagation algorithms Frequency change detection algorithms Databases Machine learning Data mining Automata

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A real-time QRS detection and delineation algorithm based on the inflection angle of the ECG waveform

A real-time QRS detection and delineation algorithm based on...

引用

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

作者： H.-S.H. Hsiung C.-K. Cheng G.-J. Jan Department of Electrical Engineering National Taiwan University Taipei Taiwan Department of Biomedical Engineering National Taiwan University Hospital Taipei Taiwan

A fast and accurate algorithm is developed for the detection and delineation of QRS complexes. This algorithm uses an efficient data compression scheme to reduce the number of processing points. Easy implementation, accurate delineation, fast execution speed, baseline ignored, and no adaptive threshold values are the advantages of using the inflection angle. The average time to detect and delineate one QRS complex is 0.25 s on a PC/AT. Results of successful application of this algorithm to five typical arrhythmia cases in the presence of noise, muscle artefact, baseline drift, and morphology changes are presented.< >

关键词： Electrocardiography Data compression Muscles Morphology Humans Algorithm design and analysis change detection algorithms Detectors Sampling methods Biomedical engineering

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A Moving Object detection Algorithm of Jitter Video

A Moving Object Detection Algorithm of Jitter Video

引用

Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)

作者： Wei Zhang Xiaofeng Shi Tao Jin Shengke Chen Yunjiong Xu Wei Sun Yang Xue Zhicheng Yu State Grid Hangzhou Power Company Zhejiang Hangzhou China State Grid Shaoxing Power Company Zhejiang Shaoxing China School of Automation Engineering Shanghai University of Electric Power Shanghai China

In view of the problem that camera shake cannot accurately detect moving target in natural environment, this paper proposes a moving target detection algorithm combining grey projection, background difference and continuous frame difference. The algorithm calculates the gray projection after removing the peripheral edge pixels from the image frame, and calculates the interrelation between the images according to the obtained gray projection curve, and completes the jitter sequence correction. The fusion strategy of background difference and continuous three frame difference method is proposed to enhance the motion target area. The fusion differential image was segmented using Ostu method to detect the foreground moving target. After the public dither video sequence experiment and comparison and verification with different algorithms, it can be concluded that this algorithm can accurately detect the moving target in camera dither scene, and ensure a good detection effect while the detection speed is fast and the calculation amount is small.

关键词： Heuristic algorithms Cameras Object detection Jitter change detection algorithms Video sequences Monitoring

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Novel variable step size nlms algorithms for echo cancellation

Novel variable step size nlms algorithms for echo cancellati...

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

作者： Mohammad Asif Iqbal Steven L. Grant QUALCOMM Inc.orporated San Diego CA USA University of Missouri Rolla Rolla MO USA

In this paper we present two new variable step size (VSS) methods for adaptive filters. These VSS methods are so effective, they eliminate the need for a separate double-talk detection algorithm in echo cancellation applications. The key feature of both approaches is the introduction of a new near-end signal energy estimator (NESEE) that provides accurate and computationally efficient estimates even during double-talk and echo path change events. The first VSS algorithm applies the NESEE to the recently proposed Nonparametric VSS NLMS (NPVSS-NLMS) algorithm. The resulting algorithm has excellent convergence characteristics with an intrinsic immunity to double-talk. The second approach is somewhat more ad hoc. It is composed of a combination of an efficient echo path change detector and the NESEE. This VSS method also has excellent convergence, double talk immunity, and computational efficiency. Simulations demonstrate the efficacy of both proposed algorithms.

关键词： Echo cancellers Signal processing algorithms Variable structure systems change detection algorithms Adaptive filters Convergence Acoustic signal detection Detectors Automatic control Adaptive algorithm

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Object Tracking in Compressed Video with Confidence Measures

Object Tracking in Compressed Video with Confidence Measures

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Lan Dong Imad Zoghlami Stuart C. Schwartz Department of Electrical Engineering Princeton University USA Real-Time Vision & Modelling Siemens Corporate Research Inc. USA

In this paper, a novel robust tracking algorithm in compressed video is proposed. Within the framework of video compression standards, we consider how to accurately estimate motion of an object by utilizing motion vectors available in compressed video together with derived confidence measures. These confidence measures are based on DCT coefficients, spatial continuity of motion and texture measure of the object. We perform tracking directly on the compressed data and also consider tracking of an object with image scale change. In order to achieve robust tracking, we develop a system which enables us to detect object appearance change such as illumination change and occlusion by exploring the confidence measures derived above. Preliminary results indicate that our tracking algorithm works well with a variety of video sequences

关键词： Video compression Motion measurement Robustness Image coding Measurement standards Motion estimation Discrete cosine transforms Object detection Lighting change detection algorithms

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Efficient Wrapper Reinduction from Dynamic Web Sources 04

Efficient Wrapper Reinduction from Dynamic Web Sources

引用

IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： R. Mohapatra K. Rajaraman Sung Sam Yuan Institute for Infocomm Research Singapore School of Computing National university of Singapore Singapore

ISBN: (纸本)9780769521008

This paper investigates wrapper induction from web sites whose layout may change over time. We formulate the reinduction as an incremental learning problem and identify that wrapper induction from an incomplete label is a key problem to be solved. We propose a novel algorithm for incrementally inducing LR wrappers and show that this algorithm asymptotically identifies the correct wrapper as the number of tuples is increased. This property is used to propose a LR wrapper reinduction algorithm. This algorithm requires examples to be provided exactly once and there-after the algorithm can detect the layout changes and reinduce wrappers automatically. In experimental studies, we observe that the reinduction algorithm is able to achieve near perfect performance.

关键词： HTML Lifting equipment change detection algorithms USA Councils Web sites Data mining Web pages Performance analysis Algorithm design and analysis

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A Framework of High-quality Transition Fault ATPG for Scan Circuits

A Framework of High-quality Transition Fault ATPG for Scan C...

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IEEE International Test Conference

作者： Seiji Kajihara Shohei Morishima Akane Takuma Xiaoqing Wen Toshiyuki Maeda Shuji Hamada Yasuo Sato Kyushu Institute of Technology Japan Semiconductor Technology Academic Research Center Yokohama Japan

This paper presents a framework of high-quality test generation for transition faults in full scan circuits. This work assumes a restricted broad-side testing as a test application method for two-pattern tests where control of primary inputs and observation of primary outputs are restricted. Because we use a modified time expansion model of a circuit-under-test during ATPG and fault simulation, conventional ATPG and fault simulation programs can work with minor change. The proposed ATPG method consists of two algorithms, which are activation-first and propagation-first, and for each fault it is decided which algorithm should be applied. Test patterns are generated such that transition faults with small delay can be detected, i.e. a path for fault excitation and propagation becomes as long as possible. In experimental results we evaluate test patterns generated by the proposed method using SDQM that calculates delay test quality, and show the effectiveness of the proposed method

关键词： Circuit faults Automatic test pattern generation Circuit testing Test pattern generators Circuit simulation Propagation delay Fault detection change detection algorithms Delay effects Crosstalk

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Scene cut detection in video by using combination of spatial-temporal video characteristics

Scene cut detection in video by using combination of spatial...

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International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS)

作者： Jugoslav Joković Danilo Đorđević Faculty of Electronic Engineering Nis Serbia

For the mainstream hard cut scene detection algorithm based on the color-histogram difference new criteria are added to increase precision and improve computational efficiency. This approach utilizes additional detection criterion based on spatial distribution of luminance blocks difference during scene cut. Also, in order to improve computational efficiency, time sampling at larger time resolutions and detection at smaller time resolutions is used. On the different video examples the results in precision and reliability are given.

关键词： Layout change detection algorithms Signal processing algorithms Video sequences Sampling methods Histograms Computerized monitoring Motion detection Fingerprint recognition detection algorithms

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Monitoring of forest fires in far east Russia

Monitoring of forest fires in far east Russia

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： K. Kawano H. Iwabuchi J. Kudoh Graduate School of Information Sciences University of Tohoku Sendai Japan Center for Northeast Asian Studies University of Tohoku Sendai Japan

Forest fires result in loss of large quantities of forest resources, and promote global warming. In far east Russia, forest fires occur every year, and greatly influence the Earth's environment. The temporal analysis of NOAA AVHRR images is effective for monitoring the global change. We analyzed a number of hot spots and aerosols using NOAA AVHRR images for ten years in far east Russia. The year with most hot spots was 1998 and the generating places of the fires were seashore parts. Most fires occurred in summer every year. Since a lot of smoke occurs in a hot spot, the quantity of aerosol has also increased in summer. There were few hot spots in June 1998 because there was much precipitation. We consider that there is a correlation between the precipitation and the number of hot spots, because precipitation in 1998 was less than an average year and the number of hot spots was more than an average year.

关键词： Monitoring Fires Image analysis Global warming Aerosols Satellite broadcasting Data analysis change detection algorithms Earth Radiometry

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