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检索条件"主题词=Change detection algorithms"

共 1584 条记录，以下是281-290 订阅

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A novel approach to scene change detection using a cross entropy

A novel approach to scene change detection using a cross ent...

引用

IEEE International Conference on Image Processing

作者： Sang Hyun Kim Rae-Hong Park Department of Electronic Engineering Sogang University Seoul South Korea

In huge video databases, an effective video indexing method is required. While manual indexing is the most effective approach to this goal, it is slow and expensive. Thus automatic indexing is desirable, and previously various indexing tools for video databases have been developed. For efficient video indexing and retrieval, the similarity measure is an important factor. This paper presents new similarity measures between frames and proposes a new algorithm to detect scene changes using a cross entropy defined between two histograms. Experimental results show that the proposed algorithm is fast and effective compared with several conventional algorithms to detect abrupt scene changes and gradual transitions including fade in/out and flash light scenes.

关键词： Layout Entropy Histograms Video compression Indexing Cameras Gunshot detection systems Image databases Image segmentation change detection algorithms

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The modified CUSUM algorithm for slow and drastic change detection in general HMMs with unknown change parameters

The modified CUSUM algorithm for slow and drastic change det...

引用

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

作者： N. Vaswani ECE Department Georgia Institute of Technology Atlanta GA USA

We study the change detection problem in a general HMM when the change parameters are unknown and the change can be slow or drastic. Drastic changes can be detected easily using the increase in tracking error or the negative log of observation likelihood (OL). But slow changes usually get missed. We have proposed in past work a statistic called ELL which works for slow change detection. Now single time estimates of any statistic can be noisy. Hence we propose a modification of the cumulative sum (CUSUM) algorithm which can be applied to ELL and OL and thus improves both slow and drastic change detection performance.

关键词： change detection algorithms Hidden Markov models Statistics Fault detection State estimation Context modeling Probability distribution Linear systems Nonlinear systems Quality control

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Wavechange: a Procedure for change detection Based on Wavelet Product Spaces

Wavechange: a Procedure for Change Detection Based on Wavele...

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International Workshop on the Analysis of Multi-temporal Remote Sensing Images (MultiTemp)

作者： Luis M.T. de Carvalho Fausto W. Acerbi Jose R. Scolforo Jose M. de Mello Antonio D. de Oliveira Federal University of Lavras Lavras Brazil

Our objective was to develop a procedure for change detection which is less sensitive to problems caused by misregistration, atmospheric effects and variations in vegetation phenology. The procedure is based on redundant wavelet transforms. Wavelet correlation was explored by taking point wise products of adjacent scales in order to enhance coefficients due to changes and smooth out noises. Local maxima were detected on the product spaces at varying spatial resolutions. The detected maxima were used as seeds for a multiscale region growing algorithm. The results showed that the method is not sensitive to geometric and radiometric misregistrations because of the multiresolution approach to feature extraction.

关键词： Radiometry Vegetation mapping Image analysis Atmospheric waves change detection algorithms Noise reduction Object detection Spatial resolution Earth Image sensors

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Efficient change detection for high dimensional data streams

Efficient change detection for high dimensional data streams

引用

IEEE International Conference on Big Data

作者： Spiros V. Georgakopoulos Sotiris K. Tasoulis Vassilis P. Plagianakos Department of Computer Science and Biomedical Informatics University of Thessaly Lamia Greece Department of Applied Mathematics Liverpool John Moores University Liverpool United Kingdom

The recent technological advancements in cloud computing and the access in increasing computational power has led in undertaking the data processing derived by mobile devices. In particular, when these data are high dimensional this is indispensable, since the mobile device has to balance its processing functionalities to additional services. However, developing efficient algorithms could allow various types of analysis to be performed locally, avoiding the necessity of a constantly connected device. In this work, we present a methodology that combines lightweight dimensionality reduction and change detection techniques. The experimental results justify its impressive performance and subsequently its usefulness in several tasks.

关键词： Principal component analysis Legged locomotion Time series analysis change detection algorithms Data processing Mobile handsets Algorithm design and analysis

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Sequential Sparsification for change detection

Sequential Sparsification for Change Detection

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26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), vol.4

作者： Necmiye Ozay Mario Sznaier Octavia I. Camps Department of Electrical and Computer Engineering Northeastern University Boston MA USA

This paper presents a general method for segmenting a vector valued sequence into an unknown number of sub-sequences where all data points from a subsequence can be represented with the same affine parametric model. The idea is to cluster the data into the minimum number of such subsequences which, as we show, can be cast as a sparse signal recovery problem by exploiting the temporal correlation between consecutive data points. We try to maximize the sparsity (i.e. the number of zero elements) of the first order differences of the sequence of parameter vectors. Each non-zero element in the first order difference sequence corresponds to a change. A weighted l{sub}1 norm based convex approximation is adopted to solve the change detection problem. We apply the proposed method to video segmentation and temporal segmentation of dynamic textures.

关键词： Image segmentation Switches Noise robustness change detection algorithms Computer vision Image edge detection Data engineering Parametric statistics Noise level Pixel

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Estimation and change detection of tire-road friction using the wheel slip

Estimation and change detection of tire-road friction using ...

引用

IEEE International Symposium on Computer Aided Control System Design (CACSD)

作者： F. Gustafsson Department of Electrical Engineering Linköping University Linkoping Sweden

This paper describes some filtering and change detection problems in an approach to estimate the tire-road friction. The method is aimed to work during a normal drive using information from standard sensors only, and the driver is informed about the maximal friction force and warned for sudden changes. From a physical model of tire-road friction based on the so called wheel slip, a Kalman filter is constructed. To get a fast response to friction changes, some alternative change detectors are examined. We also describe the algorithm that has been implemented in real-time on a Volvo 850 and some of the results from extensive tests.

关键词： Friction Wheels Testing Tires Filtering change detection algorithms Road vehicles Intelligent vehicles Road safety Intelligent sensors

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Land cover change detection with change vector in the red and near-infrared reflectance space

Land cover change detection with change vector in the red an...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： X. Zhan C. Huang J. Townshend R. DeFries M. Hansen C. Dimiceli R. Sohlberg J. Hewson-Scardelletti A. Tompkins Department of Geography University of Maryland College Park MD USA Institute of Advanced Computing Sciences University of Maryland College Park MD USA

An enhanced land cover change indicator product is produced using the two 250-m spatial resolution bands of the moderate resolution spectroradiometer (MODIS) of the NASA Earth Observing System. The rationale for creating the 250-m resolution land cover change product is that a very high proportion of land cover changes occur at the finest MODIS spatial resolutions. Multiple change detection algorithms are employed for the product generated because different algorithms detect different types of change. Among these algorithms there are two using the change vector in the red and near-infrared reflectance space. An early example of using change vector analysis for change detection is in Malila (1980). A more recent example is Johnson and Kasischke (1998). In these examples the general concepts of multispectral change vector analysis were described and applied to detect vegetation changes for the cases in specific locations and seasons. In this paper, the change vector in the red and near-infrared (NIR) reflectance space is analyzed for different types of relevant land cover changes. The algorithms using the change vector characteristics obtained with NOAA's Advanced Very High Resolution Radiometer (AVHRR) data to detect the changes are then described. Validations of these two algorithms with the simulated MODIS data from Landsat Thematic Mapper (TM) images of two different areas are presented.

关键词： Spatial resolution change detection algorithms MODIS Reflectivity Spectroradiometers NASA Earth Observing System detection algorithms Vegetation mapping Functional analysis

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A New Time Series change detection Method for Landsat Land use and Land Cover change

A New Time Series Change Detection Method for Landsat Land u...

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International Workshop on the Analysis of Multi-temporal Remote Sensing Images (MultiTemp)

作者： Yukun Lin Lifu Zhang Nan Wang Institute of Remote Sensing and Digital Earth University of Chinese Academy of Sciences Beijing China Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing China

Time series change detection is an effective way of analyzing land use and land cover change (LULCC). However, producing accurate LULCC map is still challenging because of amplified false detections and high omission errors. Here, we proposed a new change detection method to reduce false detections while maintaining low omission errors. First, the time series is decomposed into three components in the temporal scale which is seasonal, linear trend and noise. The potential LULCC are detected in the seasonal component to keep a low omission rate. Second, the false alarm rate is reduced by combining the breakpoint information of all the spectral bands and the post-classification result. Finally, the information of neighboring pixels is utilized to reduce false alarm further. With Kansas City as the study sites, the results demonstrated the effectiveness and stability of the proposed approach. Our results will show the timing and location of LULCC for qualitative analysis. The results will also show that false detections are reduced significantly without compromising omission rate for quantitative analysis.

关键词： Remote sensing Time series analysis Earth Artificial satellites Market research change detection algorithms Classification algorithms

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Online network performance degradation localization using probabilistic inference and change detection

Online network performance degradation localization using pr...

引用

IEEE Symposium on Network Operations and Management

作者： Andreas Johnsson Catalin Meirosu Christofer Flinta Research Area Packet Technologies Ericsson Research Kista Sweden

Detecting and localizing performance degradations is a difficult problem that increases in importance as telecom network transition to all-packet equipment. Operators require solutions that are accurate in localization and do not impose large additional costs in terms of hardware deployment or manual labor for operations. Existing commercial solutions are generally difficult to operate, while many academic proposals typically require significant computational resources and are difficult to adapt to production networks. This paper describes a novel network fault localization algorithm based on active network measurements, probabilistic inference and change detection. The algorithm is computationally efficient for networks with thousands of nodes and requires few configuration parameters. Results obtained in a simulated environment on tree topologies show that the solution provides fast and accurate localization of performance degradations.

关键词： Degradation Atmospheric measurements Particle measurements Network topology Time measurement Loss measurement change detection algorithms

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change detection from remotely sensed multi-temporal images using morphological operators

Change detection from remotely sensed multi-temporal images ...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： P. Le Quere P. Maupin R. Desjardins M.-C. Mouchot B. St-Onge B. Solaiman Département Image et Traitement de l'lnformation Ecole Nationale Supérieure des TéIécommunications France Département de Géographie Université du Québec à Montréal Canada

This paper presents a new approach to spatial change detection. The algorithms developed are based on the use of basic morphological filters and on more advanced concepts such as geodesic transformations. Such techniques are able to overcome the traditional problems associated with change detection from remotely sensed multi-temporal images. As a matter of fact it is already known that traditional methods using the concept of direction variation of the change vector are inadequate for a precise detection. These frequential techniques lay on very limitative statistical hypotheses: gaussian distribution, a priori determined ratio of change, very large images and relatively small ratio of change. However in a prior study, it was determined that the basic operators of mathematical morphology were partly corrupting the results of change detection by introducing bias on the shape of the objects and also by shifting the edges in the displacement direction of the structuring element. The geodesic transformations are correcting these topological difficulties in an elegant way. The usual threshold step is replaced by appropriate structuring element interval of sizes. Thus, it becomes possible to treat the spatial change detection problem by using a single formalism. The first results show that the particles of change are detected even for very slight radiometric variations, with the advantage of taking into account the configuration of the neighbourhood.

关键词： Filters Information systems change detection algorithms Image edge detection Shape Surface morphology Surface topography Fuzzy logic Telephony Facsimile

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