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检索条件"主题词=change detection algorithms"

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Shadow Removal of Vehicles in a Video System Based on RGB Chroma Model

Shadow Removal of Vehicles in a Video System Based on RGB Ch...

引用

International Conference on Computer Science and Software Engineering

作者： Song Xuehua Ding Yan Gen Jianfeng Chen Yu Department of Computer Science and Telecommunications Engineering Jiangsu University Jiangsu China

ISBN: (纸本)9781424439027

Shadow removal plays an important role in the moving object detection and retrieval of surveillance system. In order to remove shadow effectively, a detailed data analysis about shadow attribute is given after a brief introduction about how shadow comes into being. It is concluded that compared with the same field in background, the luminance of the shadow decreased a little, while each chroma per centum does not change a lot in RGB model. However, each chroma per centum of the moving object does change a lot. According to it, the paper proposes an easy algorithm which first picks up the front moving object, and detects the shadow in good use of the different properties between the shadow and object, and finally removes it successfully. The experiment shows that the algorithm could indeed remove the shadow coming from moving object effectively.

关键词： Vehicles Computer science Object detection Surveillance change detection algorithms Production Shape Character generation Software engineering Videoconference

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Target recognition and polarimetric SAR

Target recognition and polarimetric SAR

引用

IEEE National Conference on Radar

作者： Les Novak USA

This tutorial presents a state-of-the-art survey of advanced applications of Synthetic Aperture Radar (SAR). Applications include: the detection and recognition of targets in SAR imagery, and the detection of targets under trees (and in the open) using change detection (coherent change detection, full-polarization change detection, etc). A fully polarimetric SAR sensor is described. Models of clutter and targets are developed from analysis of full-polarization SAR imagery. algorithms for optimum (GLRT) processing of full-polarization data are derived, including the polarimetric whitening filter (PWF) and the polarimetric matched filter (PMF). Polarization-based discrimination features (polarization entropy, anisotropy, etc.) are developed and applied to SAR image terrain classification. Model-based and template-based target recognition systems are described and classifier performance results versus resolution and polarization are summarized for 10-and 20-target classifiers. Super-resolution algorithms are applied to SAR imagery and target recognition performance improvements demonstrated. Multi-polarization and multi-pass change detection algorithms are developed and demonstrated using UHF SAR imagery of targets under trees; fusion of multi-polarization coherent and non-coherent change detection algorithms is demonstrated. The effect of SAR image compression on change detection performance is quantified. change detection performance using multi-pass VHF SAR imagery of targets under trees is demonstrated using data gathered by the Swedish CARABAS SAR system.

关键词： Target recognition Radar detection Polarization Synthetic aperture radar change detection algorithms Matched filters detection algorithms Image recognition Sensor phenomena and characterization Clutter

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Detecting Network-Wide Traffic Anomalies Based on Spatial HMM

Detecting Network-Wide Traffic Anomalies Based on Spatial HM...

引用

IFIP International Conference on Network and Parallel Computing (NPC)

作者： Min Li Shunzheng Yu Li He Department of Electronics and Communication Engineering Sun Yat-Sen University Guangzhou China

In contrast to many techniques exploiting temporal patterns of traffic from a single network element, network-wide traffic analysis mainly focuses on the spatial behavior across the whole network. This paper proposes a spatial hidden Markov model (SHMM) to learn the normal patterns of network-wide traffic. Combined with topology information, SHMM models traffic volumes on links as probabilistic outputs of underlying interactions between routers. Based on a trained SHMM, a nonparametric CUSUM algorithm is used to track the change of entropy of observation sequences in different sliding windows for anomaly detection. Background traffic collected from real network and synthetic anomalies are used for validation of the detection method. The results prove our method effective for network-wide traffic anomaly detection.

关键词： Telecommunication traffic Hidden Markov models Traffic control Communication system traffic control Network topology Parallel processing Helium Sun Pattern analysis change detection algorithms

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Using Random Forests for Network-based Anomaly detection at Active routers

Using Random Forests for Network-based Anomaly detection at ...

引用

International Conference on Signal Processing, Communication and Networking (ICSCN)

作者： G. Prashanth V. Prashanth P. Jayashree N. Srinivasan Department of Information Technology MIT Campus of Anna University India

Network intrusion detection systems (NIDSs) is one of the primary components in any network security infrastructure. Currently, many NIDSs that are developed are rule-based systems and their performances mainly depend on the rule sets. But rules formation becomes a tedious and rime consuming task due to the enormous amount of network traffic. This is overcome by using data mining techniques. These techniques build intrusion detection models adaptively. Random forests is an efficient data mining algorithm which can be used for network intrusion detection This can be used for real time intrusion detection. In this paper, we discuss the approaches for feature selection, and optimization of parameters of random forests, compare different models, and also discuss the other method for detecting the anomalies across active networks.

关键词： Intrusion detection Telecommunication traffic Information security change detection algorithms Data security Data mining Training data Computer displays Signal processing Information technology

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A Novel Thresholding Approach to Background Subtraction

A Novel Thresholding Approach to Background Subtraction

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IEEE Workshop on Applications of Computer Vision (WACV)

作者： Lihao Jia Yikun Liu School of Electronic and Information Engineering Xi''an Jiaotong University Xi'an China

We propose a novel thresholding approach based on a new color space model and embed it into background subtraction. This model uses each pixel's color distortion and brightness distortion to detect the changes. The color distortion considers the vector's position in color space so that it can assemble the color features effectively. Moreover, this thresholding method also removes the moving shadow to some extent. By applying it to background subtraction, we get a comparative complete foreground object. For relatively complex background, we are motivated by the hysteresis threshold in Canny edge detection algorithm and introduce dual-threshold into background subtraction. It also achieves robust detection for videos containing complex background. We compare our method with other multi-model techniques, and the test results show the feasibility of the proposed algorithm.

关键词： Biological system modeling Layout Gaussian distribution change detection algorithms Hysteresis Image edge detection Robustness Humans Pixel Colored noise

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Distributed Online Simultaneous Fault detection for Multiple Sensors

Distributed Online Simultaneous Fault Detection for Multiple...

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International Symposium on Information Processing in Sensor Networks (IPSN)

作者： Ram Rajagopal XuanLong Nguyen Sinem Coleri Ergen Pravin Varaiya SAMSI and Department of Statistical Science Duke University USA WSN Berkeley Laboratory Pirelli and Telecom Italia Italy Electrical Engineering and Computer Sciences University of California Berkeley USA

ISBN: (纸本)9780769531571

Monitoring its health by detecting its failed sensors is essential to the reliable functioning of any sensor network. This paper presents a distributed, online, sequential algorithm for detecting multiple faults in a sensor network. The algorithm works by detecting change points in the correlation statistics of neighboring sensors, requiring only neighbors to exchange information. The algorithm provides guarantees on detection delay and false alarm probability. This appears to be the first work to offer such guarantees for a multiple sensor network. Based on the performance guarantees, we compute a tradeoff between sensor node density, detection delay and energy consumption. We also address synchronization, finite storage and data quantization. We validate our approach with some example applications.

关键词： Fault detection change detection algorithms Fault diagnosis Probability Time measurement Electrical fault detection Condition monitoring Working environment noise Delay effects Vehicles

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Link Switch Mechanism Based on DSR Route Protocol

Link Switch Mechanism Based on DSR Route Protocol

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International Workshop on Intelligent Networks and Intelligent Systems (ICINIS)

作者： Hongsheng Lu Jun Zhang Xiling Luo School of Electronics and Information Engineering Beihang University Beijing China

Based on DSR route protocol, this paper advances a proactive link switch strategy for high dynamic Ad Hoc wireless network named dynamic source route link switch mechanism (DSR-LS). In order to envoy packet transmission, DSR-LS utilizes RTS/DATA or CTS/ACK embedded with link switch request or reply option to find a new link in one-hop range of the node at the time of detecting a link breakage trend. New link information is not sent to the source node of the route until an error happens on the path, which evidently decreases the route control overhead. By this local link switch, DSR-LS improves lifetime of the route and decreases extra route overhead caused by link interruption at the cost of increasing MAC overhead a little. Finally, results show that DSR-LS effectively enhances the performance of DSR protocol in mobile Ad Hoc network by increasing packet delivery fraction and decreasing route overhead.

关键词： Switches Costs Mobile ad hoc networks Intelligent networks Wireless application protocol Packet switching Delay Stability change detection algorithms Intelligent systems

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Reliable system design: Models, metrics and design techniques 08

Reliable system design: Models, metrics and design technique...

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IEEE International Conference on Computer-Aided Design

作者： Subhasish Mitra Ravishankar K. Iyer Kishor Trivedi James W. Tschanz Stanford Univ. Stanford CA Univ. of Illinois Urbana-Champaign IL Duke Univ. Durham NC Intel Corp. Hillsboro OR

ISBN: (纸本)9781424428205

Design of reliable systems meeting stringent quality, reliability, and availability requirements is becoming increasingly difficult in advanced technologies. The current design paradigm, which assumes that no gate or interconnect will ever operate incorrectly within the lifetime of a product, must change to cope with this situation. Future systems must be designed with built-in mechanisms for failure tolerance, prediction, detection and recovery during normal system operation. This tutorial will focus on models and metrics for designing reliable systems, algorithms and tools for modeling and evaluating such systems, will discuss a broad spectrum of techniques for building such systems with support for concurrent error detection, failure prediction, error correction, recovery, and self-repair. Complex interplay between power, performance and reliability requirements in future systems, and associated constraints will also be discussed.

关键词： Power system reliability Predictive models Power system modeling Error correction Application software Electronic design automation and methodology Availability Algorithm design and analysis change detection algorithms Buildings

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Enhancements of an Adaptive Neighborhood Speckle Filtering Algorithm to Improve Analysis of Polarimetric SAR Imagery

Enhancements of an Adaptive Neighborhood Speckle Filtering A...

引用

IEEE Southwest Symposium on Image Analysis and Interpretation

作者： Jason Fritz Mark Tabb V. Chandrasekar Colorado State University USA Microsoft Corporation Boulder CO USA Elec. & Computer Engineering Department Colorado State University Fort Collins CO USA

ISBN: (纸本)9781424422968;1424422965

Image noise often hinders the analysis and understanding of most remote sensing imagery. Synthetic aperture radar (SAR) images, in particular, suffer from a phenomenon known as speckle. Speckle is the result of the coherent sum of scattering mechanisms within a resolution cell and is typically modeled as multiplicative noise. Numerous approaches have been taken to reduce speckle, the most promising of which are adaptive and statistically based. These algorithms typically take advantage of the statistics of speckle or the multi-scale image structure to detect regions of similarity. Several of these algorithms also take advantage of the multi-channel nature of polarimetric SAR to improve the region detection. This work presents two enhancements to such an algorithm with an application toward polarimetric parameter estimation and change detection and presents results using the Japanese satellite-based Phased Array L-band Synthetic Aperture Radar (PALSAR) system.

关键词： Speckle Filtering algorithms Image analysis Algorithm design and analysis Synthetic aperture radar change detection algorithms Radar detection Phased arrays Remote sensing Radar scattering

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An Evolutionary Approach for Modeling Time Series

An Evolutionary Approach for Modeling Time Series

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International Symposium on Symbolic and Numeric algorithms for Scientific Computing (SYNASC)

作者： Elena Bautu Andrei Bautu Henri Luchian Ovidius University of Constanta Constanta Romania Mircea cel Bătrân Naval Academy Constanta Romania Alexandru Ioan Cuza슠University Iasi Romania

change points in time series appear due to variations in the data generation process. We consider the problem of modeling time series generated by dynamic processes, and we focus on finding the change points using a specially tailored genetic algorithm. The algorithm employs a new representation, described in detail in the paper. Suitable genetic operators are also defined and explained. The results obtained on computer generated time series provide evidence that the approach can be used for change point detection, and has good potential for time series modeling.

关键词： Genetic algorithms Statistics Testing Time series analysis Neural networks Scientific computing change detection algorithms Pervasive computing Time measurement Petroleum

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