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检索条件"主题词=Change Detection Algorithms"

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Multi-View Tracking in Wireless Sensor Networks

Multi-View Tracking in Wireless Sensor Networks

引用

World Congress on Intelligent Control and Automation (WCICA)

作者： Wang Xue Wang Sheng Ma Junjie State Key Laboratory of Precision Measurement Technology and Instrument Department of Precision Instruments Tsinghua University Beijing China

Wireless sensor networks facilitate the robust intelligent sensing technology. Multi-sensor fusion improves the information's robustness and precision. For segmenting, detecting and tracking moving target with image sequences, signal-view tracking is easily impacted by obstacles and other disturbances, especially, when the target is blocked and/or makes significant motion, and original algorithm can not afford precise and continual tracking. This paper proposes a real-time robust moving target multi-view tracking technique based on wireless sensor networks (WSN), which contains two parts: moving region extraction and multi-view information fusion. First, extract moving region from image sequences of each sensor node with automatic thresholding change detection and brightness gradient adjustment. Second, fuse observational information of each node and analyze the 3D position of moving target with believed area combination method. The experimental results verify that the method has the ability of real-time robust tracking in complex background without any prior information of detected area, and it can also eliminate the infection of obstacles effectively

关键词： Wireless sensor networks Target tracking Robustness Image sequences Data mining Intelligent networks Intelligent sensors Image segmentation Motion detection change detection algorithms

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On the Effectiveness of multi-similarity for early detection of worms

On the Effectiveness of multi-similarity for early detection...

引用

IEEE International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)

作者： Hui He Mingzeng Hu Hongli Zhang Zhenjiang Tang School of Computer Science and Technology Harbin Institute of Technology China

In this paper, an effective algorithm for early detection of worms is proposed. The early detection algorithm based on multi-similarity integrates the worms’ behavior attributes with their traffic distribution and detects abnormal behavior by their similarity distribution change of some attributes. Three groups of experiments are conducted to evaluate the effectiveness of the algorithm. The results show that the multi-similarity owning the specialty of higher true positive, lower false positive and false negative. It can be conclude that the algorithm can detect the worm attack ahead of its overspreading on the large-scale network.

关键词： Computer worms change detection algorithms detection algorithms Large-scale systems Internet Stochastic processes Helium Computer science IP networks Explosives

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Evaluation of the Wishart test statistics for polarimetric SAR data

Evaluation of the Wishart test statistics for polarimetric S...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： H. Skriver A.A. Nielsen K. Conradsen Ørsted-DTU Department Technical University of Denmark Kongens Lyngby Denmark Informatics and Mathematical Modelling Department Technical University of Denmark Kongens Lyngby Denmark

A test statistic for equality of two covariance matrices following the complex Wishart distribution has previously been used in new algorithms for change detection, edge detection and segmentation in polarimetric SAR images. Previously, the results for change detection and edge detection have been quantitatively evaluated. This paper deals with the evaluation of segmentation. A segmentation performance measure originally developed for single-channel SAR images has been extended to polarimetric SAR images, and used to evaluate segmentation for a merge-using-moment algorithm for polarimetric SAR data.

关键词： Testing Statistical analysis Image segmentation Image edge detection Covariance matrix change detection algorithms Performance evaluation Merging Probability Informatics

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Distributed Audio Coding in Wireless Sensor Networks

Distributed Audio Coding in Wireless Sensor Networks

引用

International Conference on Computational Intelligence and Security

作者： Hui Dong Jiangang Lu Youxian Sun National Laboratory of Industrial Control Technology University of Zhejiang Hangzhou China

ISBN: (纸本)1424406048

The strict constrains of wireless sensor networks (WSN) on individual sensor node's resource brings great challenges to the information processing. In order to maximize compression and minimize energy cost in WSN, a novel wavelet-based distributed audio coding (WDAC) algorithm is proposed. This approach fully exploits the correlation of the signal in both spatial and frequency domain by using distributed lifting wavelet transform with boundary effects. A low-complexity change detection algorithm (LCDA) is developed to mark active blocks and we only encode these active regions to save energy significantly. The simulation results showed that these approaches is energy efficient and has low complexity with less memory requirements in implementation

关键词： Audio coding Wireless sensor networks Information processing Costs change detection algorithms Frequency domain analysis Wavelet domain Wavelet transforms detection algorithms Energy efficiency

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Image distance based ship detection using SAR images

Image distance based ship detection using SAR images

引用

IEEE International Conference on Networking, Sensing and Control

作者： Hua Bo Fulong Ma Information Engineering Department of Shanghai Maritime University Shanghai China Philips Research Shanghai China

A novel method is developed for ship detection in synthetic aperture radar (SRA) images, which is based on image distance computation techniques. Using a second-order hidden Markov mesh model to learn statistical models of images, one can obtain the distance of two images for the purpose of detecting ships. First, the features of an image can be extracted using a method that best matches its statistical model, which is related to dynamic programming. Second, given the state transition matrix and observation distributions within states, statistical distance between images based on the similarity of their statistical models can be estimated. Experimental results demonstrate that this ship detection algorithm can effectively enhance ship target as well as suppress speckle and has better detection precision and lower calculation complexity.

关键词： Marine vehicles Hidden Markov models Radar detection detection algorithms Synthetic aperture radar Object detection change detection algorithms Speckle Random variables Condition monitoring

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Effective corner matching based on Delaunay triangulation

Effective corner matching based on Delaunay triangulation

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Dongxiang Zhou Ganhua Li Yun-hui Liu Joini Centerfor Intelligeni Sensing and Systems National University of Defense Technology Changsha Hunan China Department of Automation and Compuier Aided Engineering Chinese University of Hong Kong New Territories Hong Kong China

Matching corners between images is an important and difficult problem in stereo vision and many other vision applications, and no effective method has been developed to cope with general cases. In this paper, we present an improved SUSAN (smallest univalue segment assimilating nucleus) corner detection algorithm and an effective algorithm to establish corner correspondence between two images based on Delaunay triangulation. First we construct Delaunay triangulations among corners of each image and compute interior angles of the triangles. The corner correspondence is established based on an observation that these angles completely and uniquely characterize the corners and their values are not affected by scale change, less affected by rotation and translation to some extent. At the matching stage, we first obtain the most similar triangle pairs, and then extend their edges circularly until all matching corners are triangulated and mismatching corners are discarded. Experimental results are provided which illustrate the good performance of the algorithm.

关键词： Iterative methods Computer vision Object recognition Robustness Intelligent systems Automation Stereo vision change detection algorithms Image segmentation detection algorithms

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Computation of the One-Dimensional Unwrapped Phase

Computation of the One-Dimensional Unwrapped Phase

引用

International Conference on Digital Signal Processing (DSP)

作者： Zahi N. Karam Alan V. Oppenheim Digital Signal Processing Group Massachusetts Institute of Technology Cambridge MA USA

In this paper, the computation of the unwrapped phase of the discrete-time Fourier transform (DTFT) of a one-dimensional finite-length signal is explored. The phase of the DTFT is not unique, and may contain integer multiple of 2 pi discontinuities. The unwrapped phase is the instance of the phase function chosen to ensure continuity. This paper compares existing algorithms for computing the unwrapped phase. Then, two composite algorithms are proposed that build upon the existing ones. The core of the proposed methods is based on recent advances in polynomial factoring. The proposed methods are implemented and compared to the existing ones.

关键词： Signal processing algorithms Digital signal processing Cepstrum Phase detection Sampling methods Fourier transforms Poles and zeros change detection algorithms Phase frequency detector Signal processing

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Adaptive target detection in image sequences

Adaptive target detection in image sequences

引用

IEEE National Conference on Aerospace and Electronics (NAECON)

作者： S.B. Kesler L. Chin Electrical and Computer Engineeering Department Drexel University Philadelphia PA USA Magnavox/General Atronics Corporation Philadelphia PA USA

A comparative analysis of three image-change-detection algorithms is presented. They are: pairwise subtraction of consecutive images; a two-dimensional least-square adaptive algorithm; and an order-recursive least-square lattice adaptive algorithm. These algorithms are representatives of available procedures for image change detection in cluttered environments. The analysis is supported by computer simulations, using both recorded and computer-generated images. Discussions of real-time processor requirements for these algorithms are also given.< >

关键词： Object detection Image sequences Least squares methods Image analysis Lattices Algorithm design and analysis detection algorithms Adaptive algorithm change detection algorithms Infrared detectors

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Protect e-commerce against DDoS attacks with improved D-WARD detection system

Protect e-commerce against DDoS attacks with improved D-WARD...

引用

IEEE International Conference on e-Technology, e-Commerce and e-Service

作者： Jian Kang Zhe Zhang Jiu-bin Ju Department of Computer Science & Technology Jilin University Changchun China

DDoS attack has caused severe damage to e-commerce and e-service and is great intimidation to the development of them. After analyzing the detection algorithm of D-WARD, a representative source-end DDoS detection system, we introduced a nonparametric change point detection method in statistics and improved D-WARD with nonparametric recursive CUSUM algorithm and compared their respective performance. Experiments proved that the improved system is lower in false-positive rate and false-negative rate, which is more accurate and could adapt to more complex network environments. This improved system could be utilized in the protection of e-commerce against DDoS attacks.

关键词： Protection Computer crime IP networks Computer science Electronic commerce Performance analysis Algorithm design and analysis detection algorithms Statistical analysis change detection algorithms

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Shadow detection for moving humans using gradient-based background subtraction

Shadow detection for moving humans using gradient-based back...

引用

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

作者： Muhammad Shoaib Ralf Dragon Jorn Ostermann Institut für Informationsverarbeitung Leibniz Universität Hannover Germany

Cast shadows cause serious problems in the functionality of vision-based applications, such as video surveillance, traffic monitoring and various other applications. Accurate detection and removal of cast shadows is a challenging task. Common shadow detection techniques normally use color information, which is not a reliable base in every scenario. This paper presents a novel scheme for real time detection of cast shadows using contour like structures of objects, which are obtained by gradient-based background subtraction. The scheme does not use any color information. Two basic rules are followed for shadow detection. The first rule is that shadows do not change the texture of the background. The second rule is a cast shadow lies outside the boundary of an object and has a relatively small common boundary with the object. Experimental results show the performance of the proposed scheme. Objective evaluation shows that the algorithm classifies 90 percent of the pixels of the objects and their shadow correctly.

关键词： Humans Object detection Video surveillance Optical distortion detection algorithms Monitoring change detection algorithms Video sequences Image motion analysis Merging

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