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检索条件"主题词=Change detection algorithms"

共 1584 条记录，以下是381-390 订阅

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Online change detection of linear regression models

Online change detection of linear regression models

引用

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

作者： Jun Geng Bingwen Zhang Lauren M. Huie Lifeng Lai School of Elec. and Info. Engr. Harbin Iust. of Tech Harbin China Dept. of Elec. and Comp. Engr. Worcester Poly. Inst. Worcester MA Air Force Research Laboratory Rome NY

ISBN: (纸本)9781479999897

In this paper, we consider the problem of quickly detecting an abrupt change of linear coefficients in linear regression models. In particular, the observer sequentially observes a sequence of observations {(xn, yn)}∞n=1, which is assumed to obey a linear regression model at each time slot n. Some of the coefficients in the linear model change at a fixed but unknown time t. The post-change linear coefficients are unknown to the observer. The observer aims to design an online algorithm to detect the model change based on his sequential observations. Two performance metrics, namely the worst case detection delay (WADD) and the average run length to false alarm (ARL2FA), are adopted to evaluate the performance of detection algorithms. We design a low complexity algorithm, termed as parallel sum algorithm, for the detection purpose. An asymptotic upper bound on WADD is provided under any given ARL2FA constraint.

关键词： Observers Biological system modeling Algorithm design and analysis change detection algorithms Linear regression Delays Complexity theory

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Efficient incorporation of Markov Random Fields in change detection

Efficient incorporation of Markov Random Fields in change de...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： H. Aances A. A. Nielsen J. M. Carstensen R. Larsen B. Ersbøll DTU Informatics Technical University of Denmark Lyngby Denmark DTU Space Technical University of Denmark Lyngby Denmark

Many change detection algorithms work by calculating the probability of change on a pixel-wise basis. This is a disadvantage since one is usually looking for regions of change, and such information is not used in pixel-wise classification - per definition. This issue becomes apparent in the face of noise, implying that the pixel-wise classifier is also noisy. There is thus a need for incorporating local homogeneity constraints into such a change detection framework. For this modelling task Markov Random Fields are suitable. Markov Random Fields have, however, previously been plagued by lack of efficient optimization methods or numerical solvers. We here address the issue of efficient incorporation of local homogeneity constraints into change detection algorithms. We do this by exploiting recent advances in graph based algorithms for Markov Random Fields. This is combined with an IR-MAD change detector, and demonstrated on real data with good results.

关键词： Markov random fields Earth detection algorithms Probability Optimization methods change detection algorithms Detectors Sea surface Digital images Stochastic processes

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Video watermarking based on Cuckoo search and scene change detection

Video watermarking based on Cuckoo search and scene change d...

引用

International Conference on Intelligent Sustainable Systems (ICISS)

作者： Kumar Aditya Akash Choudhary Amrit Raj Mihir Sing Department of Computer Science & Engineering Maulana Abul Kalam Azad University of Technology West Bengal (Formerly WBUT) India

ISBN: (纸本)9781538619605

This paper presents Digital Video Watermarking based on Cuckoo Search nature inspired algorithm involving scene change detection. Two famous lévy flight algorithms associated with Cuckoo Search algorithm are presented known as Mantegna Algorithm and McCulloch algorithm. In this paper, we explained why cuckoo search algorithm is efficient in digital watermarking followed by watermarking of the video frames only during scene change detection in the video. Finally, we compared the results of both the lévy flight algorithms - Mantegna algorithm and McCulloch algorithm on the basis of imperceptibility and robustness of the watermarked image.

关键词： Watermarking Discrete wavelet transforms Robustness Birds change detection algorithms Optimization Discrete cosine transforms

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Decentralized Sequential change detection Using Physical Layer Fusion

Decentralized Sequential Change Detection Using Physical Lay...

引用

IEEE International Symposium on Information Theory

作者： Leena Zacharias Rajesh Sundaresan ECE Department Indian Institute of Science Bangalore India

ISBN: (纸本)9781424413973;1424413974

We study the problem of decentralized sequential change detection with conditionally independent observations. The sensors form a star topology with a central node called fusion center as the hub. The sensors transmit a simple function of their observations in an analog fashion over a wireless Gaussian multiple access channel and operate under either a power constraint or an energy constraint. Simulations demonstrate that the proposed techniques have lower detection delays when compared with existing schemes. Moreover we demonstrate that the energy-constrained formulation enables better use of the total available energy than a power-constrained formulation.

关键词： Physical layer Wireless sensor networks Delay Sensor systems Topology change detection algorithms Statistics Bayesian methods Cost function Parameter estimation

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Modeling of change detection in VHF- and UHF-band SAR

Modeling of change detection in VHF- and UHF-band SAR

引用

European conference on synthetic aperture radar

作者： Lars M.H. Ulander Mikael Lundberg Swedish Defence Research Agency (FOI) Link?ping Sweden FOI Sweden

ISBN: (纸本)9783800730841

This paper describes models which can be used to evaluate change detection algorithms based on multiple SAR images in the VHF- and UHF-band. The models are evaluated using a processed SAR data set acquired with the airborne radar systems CARABAS-II (20-85 MHz, HH-polarization, 58° incidence angle) and LORA (225-470 MHz, HH-polarisation, 50° incidence angle) over a comparable deployment of ground vehicles concealed in forest. Five different models are investigated, I.e. Gaussian, complex Gaussian, log-normal, K-distribution and complex Gaussian + lognormal scene. It is shown that the latter model gives the best fit to both CARABAS-II and LORA data. The models are also used to simulate SAR images and evaluate the performance of four different change detection algorithms, I.e. amplitude ratio, Generalized Likelihood Ratio Test (GLRT) using amplitude data, GLRT using the logarithm of amplitude data and finally GLRT using complex data. The results indicate that different algorithms are optimal for CARABAS-II and LORA data, which is in agreement with results obtained from evaluations on real VHF and UHF radar data. It is shown that the reason is that the SAR data from CARABAS- II and LORA, respectively, have different statistical characteristics.

关键词： UHF band angle of incidence change detection algorithms Synthetic aperture radar Ground vehicles Radar polarimetry Modeling amplitude scaling

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Adaptive change detection for real-time surveillance applications

Adaptive change detection for real-time surveillance applica...

引用

IEEE Workshop on Visual Surveillance

作者： S. Huwer H. Niemann FORWISS-Knowledge-Processing Research Group Bavarian Research Center for Knowledge-Based Systems Erlangen Germany

This paper describes a new real-time approach for detecting changes in grey level image sequences, which were taken from stationary cameras. This new method combines a temporal difference method with an adaptive background model subtraction scheme. When changes in illumination occur the background model is automatically adapted to suit the new conditions. For the adaptation of the background model a new method is proposed, which avoids reinforcement of adaptation errors by performing the adaptation solely on those regions that were detected by the temporal difference method rather than using the regions resulting from the overall algorithm. Thus the adaptation process is separated from the results of its own background subtraction algorithm. The change detector was successfully tested both in a vision-based workspace monitoring system for different kinds of non-autonomous service robots and in a surveillance scenario, in which it was the task to detect people in a subway-platform scenario. The proposed real-time algorithm showed recognition rates of up to 90% in the foreground and 84% in the background and performed in all cases at least 12% better than the alternative method of adaptive background estimation which uses a modified Kalman filtering technique.

关键词： Surveillance change detection algorithms Image sequences Cameras Lighting Detectors System testing Monitoring Service robots Filtering algorithms

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Probabilistic Text change detection Using an Immune Model

Probabilistic Text Change Detection Using an Immune Model

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Matti Polla Timo Honkela Adaptive Informatics Research Centre (AIRC) Helsinki University of Technology Espoo Finland

We present a probabilistic approach for detecting and analyzing changes in natural language motivated by biological immune systems. Contrary to traditional methods based on message-digest algorithms and line-by-line comparisons of two files, the proposed algorithm employs an implicit negative representation of text segments in the form of detector strings. A characteristic property of the presented change detection method is that it allows the analysis to be done without revealing the full contents of the original data to the authenticator. Implications of this property to security applications are outlined and an experiment is conducted to show how several incremental changes to a collaboratively maintained document can be analyzed.

关键词： Text analysis Natural language processing Neural networks Immune system Information analysis change detection algorithms Collaboration Natural languages Detectors Data security

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Research on scene change detection algorithm based on H.264/SVC

Research on scene change detection algorithm based on H.264/...

引用

International Conference on Electronics, Communications and Control (ICECC)

作者： Keqiang Ren Xing Jin School of Information Engineering Jiangxi University of Science and Technology Ganzhou China

Scene change detection is a key technique of video coding, it has an important impact on the video quality. This article analyzed and compared three conventional algorithms of scene change detection, aiming at the shortcoming of scene change detection algorithm based on image complexity, presented an improved algorithm of scene change detection based on image complexity combining with G012 rate control standard. Experimental results show that the improved algorithm could correctly detect sudden scene change and gradual scene change between GOP, overcomes the problem which the original algorithm could not detect the gradual scene change between GOP, and effectively enhances detection accuracy of scene changes in video sequences.

关键词： change detection algorithms Video sequences Complexity theory Encoding Static VAr compensators Algorithm design and analysis detection algorithms

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Real-time unsupervised speaker change detection

Real-time unsupervised speaker change detection

引用

International Conference on Pattern Recognition

作者： Lie Lu Hong-Jiang Zhang Microsoft Research Asia Beijing China

ISBN: (纸本)076951695X

Information on speaker change point is very useful for speaker tracking and other applications. In this paper, we presented an effective algorithm for automatic speaker change detection based on LSP correlation analysis. Moreover, a general case is considered, in which the speaker and speaker number are both assumed unknown. The algorithm has low complexity and can be processed in real-time with a limit delay. Our experiments have shown that the algorithms produce very satisfactory results.

关键词： Hidden Markov models Speech detection algorithms change detection algorithms Clustering algorithms Asia Speaker recognition Streaming media Broadcasting Performance analysis

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A two-level algorithm of time series change detection based on a unique changes similarity method

A two-level algorithm of time series change detection based ...

引用

International Multiconference on Computer Science and Information Technology, IMCSIT

作者： Tomasz Pełech-Pilichowski Jan T. Duda AGH University of Science and Technology Krakow Poland

In the paper, a novel two level algorithm of time series change detection is presented. In the first level, to identify non-stationary sequences in processed signals preliminary detection of events is performed with short-term prediction comparison. In the second stage, to confirm changes detected in first level a unique changes similarity method is employed. detection of changes in non-stationary time series is discussed, implemented algorithms are described and results produced on exemplary four financial time series are showed.

关键词： Time series analysis Event detection Algorithm design and analysis change detection algorithms Detectors Prediction algorithms Data mining

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