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检索条件"主题词=Change Detection Algorithms"

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Sparse + smooth decomposition models for multi-temporal SAR images

Sparse + smooth decomposition models for multi-temporal SAR ...

引用

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

作者： Sylvain Lobry Loïc Denis Florence Tupin Institut Telecom Telecom ParisTech CNRS LTCI Paris France UMR 5516 CNRS Universite de Saint-Etienne and Telecom Saint-Etienne Saint-Etienne France

SAR images have distinctive characteristics compared to optical images: speckle phenomenon produces strong fluctuations, and strong scatterers have radar signatures several orders of magnitude larger than others. We propose to use an image decomposition approach to account for these peculiarities. Several methods have been proposed in the field of image processing to decompose an image into components of different nature, such as a geometrical part and a textural part. They are generally stated as an energy minimization problem where specific penalty terms are applied to each component of the sought decomposition. We decompose temporal series of SAR images into three components: speckle, strong scatterers and background. Our decomposition method is based on a discrete optimization technique by graph-cut. We apply it to change detection tasks.

关键词： Synthetic aperture radar Optimization Minimization Noise change detection algorithms Speckle Image processing

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Particle Filters for Infinite (or Large) Dimensional State Spaces-Part 2

Particle Filters for Infinite (or Large) Dimensional State S...

引用

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

作者： N. Vaswani Department of Electrical and Computer Engineering Iowa State University Ames IA USA

We study particle filtering algorithms for tracking on infinite (in practice, large) dimensional state spaces. Particle filtering (Monte Carlo sampling) from a large dimensional system noise distribution is computationally expensive. But, in most large dim tracking applications, it is fair to assume that "most of the state change" occurs in a small dimensional basis and the basis itself may be slowly time varying (approximated as piecewise constant). We have proposed a PF algorithm with basis change detection and re-estimation steps that uses this idea. The implicit assumptions in defining this algorithm are very strong. We study here the implications of weaker assumptions and how to handle them. We propose to use a simple modification of the asymptotically stable adaptive particle filter to handle errors in estimating the basis dimension

关键词： Particle filters State-space methods change detection algorithms Extraterrestrial measurements Filtering algorithms Particle tracking Yttrium Image sequences Optical filters Image motion analysis

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Robust Motion detection via the Fuzzy Fusion of 6D Feature Space Decompositions

Robust Motion Detection via the Fuzzy Fusion of 6D Feature S...

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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Stephen Reilly Fatih Kurugollu Paul Miller Institute of Electronics Communications and Information Technology School of Electronics Electrical Engineering and Computer Science Queen's University Belfast UK

A change detection framework which fuses both spatial and temporal data using fuzzy if-then rules is presented. Temporal data is used on a per-pixel basis to monitor the sequence for changes by employing a fuzzy codebook model. Spatial data is gathered using a fuzzy multithresholding algorithm that decomposes the RGB color space into three color pair histograms. This system is found to be robust to noise and allows the algorithm to process successfully even when the underlying sequences result in under-segmentation of the spatial data.

关键词： Robustness Motion detection change detection algorithms Image segmentation Data mining Surveillance Computerized monitoring Colored noise Histograms Streaming media

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Learning texture classifier for flooded region detection in SAR images

Learning texture classifier for flooded region detection in ...

引用

International Conference on Computer Graphics, Imaging and Visualization, CGIV

作者： Shiqing Zhang Hanqing Lu National Laboratory of Pattern Recognition Institute of Automation Chinese Academy and Sciences China

In this paper a new texture-based change detection approach is proposed to identify the flooded regions in SAR images. The main novelty of our approach is that the most distinctive texture information is automatically learned from the training set. Forty texture features, which are extracted from a pair of bi-temporal SAR images, are used to construct the weak classifier pool. After AdaBoost training, a strong classifier is optimally combined by a small subset of the candidate weak classifiers. The experimental results demonstrate the effectiveness of the proposed approach.

关键词： Pixel Floods Feature extraction Data mining Synthetic aperture radar Lighting Radar detection change detection algorithms Laboratories Pattern recognition

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Meta-adaptation in autonomic systems

Meta-adaptation in autonomic systems

引用

IEEE Workshop on Future Trends of Distributed Computing Systems

作者： J. Hillman I. Warren Computing Department Lancaster University Lancaster UK

Autonomic computing aims to make self-healing, self-tuning, self-configuring and self-protecting systems a reality. This self-adaptive behaviour is achieved by carrying out changes upon a system when particular constraints or requirements are not met. Existing work focuses on how to determine when a change is necessary and what that change will be. We argue that the mechanism used to carry out the change is equally important and can determine if the change heals, tunes or protects the system as it was intended to. We present OpenRec, a framework which facilitates autonomic computing where the change mechanism is also self-adapting. Novel features of our work include a clean separation of concerns in the self-adaption process, support for an extensible set of change mechanisms and the use of an evolving knowledge base which guides the change process.

关键词： Connectors Protection Face detection Feedback loop change detection algorithms Assembly Runtime Standards publication Conferences Distributed computing

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A public key watermark for image verification and authentication

引用

IEEE International Conference on Image Processing

作者： Ping Wah Wong Hewlett Packard Company Cupertino CA USA

ISBN: (纸本)0818688211

We propose a public key watermarking algorithm for image integrity verification. This watermark is capable of detecting any change made to an image, including changes in pixel values and image size. This watermark is important for several imaging applications, including trusted camera, legal usage of images, medical archiving of images, news reporting, commercial image transaction, and others. In each of these applications, it is important to verify that the image has not been manipulated and that the image was originated by either a specific camera or a specific user. The verification (the watermark extraction) procedure uses a public key as in public key cryptography, and hence it can be performed by any person without the secure exchange of a secret key. This is very important in many applications (e.g., trusted camera, news reporting) where the exchange of a secret key is either not possible or undesirable.

关键词： Public key Watermarking Authentication Cameras change detection algorithms Pixel Law Legal factors Biomedical imaging Public key cryptography

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Roadside camera motion detection for automated speed measurement

Roadside camera motion detection for automated speed measure...

引用

International Conference on Intelligent Transportation

作者： S. Pumrin D.J. Dailey Department of Electrical Engineering University of Washington Seattle WA USA

In this paper, we present an algorithm to detect scene change that indicates that camera re-calibration is necessary. This work is in support of using un-calibrated traffic management roadside cameras for automated speed estimates. We construct an activity region using moving vehicle edges, and small differences in the activity region in consecutive images are used as a decision criteria for recalibrating the camera. The camera motion detection uses training sets of 10-second video sequences and detects moving vehicles using frame differencing. We present a validation of our algorithm using real-world traffic scenes.

关键词： Cameras Motion detection Velocity measurement Layout Vehicle detection change detection algorithms Vehicles Image edge detection Management training Video sequences

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Vision system for decentralised wide area surveillance using multiple nodes

Vision system for decentralised wide area surveillance using...

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International Conference on Information Fusion

作者： R. Alexander G. Jones H. Knowles V. Leung G. Watson Advanced Technology Centre BAE Systems Bristol UK

In a decentralised wide area surveillance system (D-WASS), the two principal objectives are to first detect the events of interest reliably, and second to track the progression of these events and maintain a globally consistent track of the object for the extent of the camera fields of view. In this paper, we discuss an implementation of a 9-camera D-WASS with non-contiguous views, and analyse the performance of the tracking and vision sub-systems both empirically and analytically. In this application, event-based change detection algorithms in image space, as well as data association and tracking algorithms in a consistent real world coordinate system are realised in a real-time environment where both physical and temporal constraints are taken into consideration. This system has been demonstrated to work satisfactorily under various operating conditions. In order to characterise the performance of the system, the vision and tracking components, as well as the dependence of the latter on the former from a systems viewpoint, are studied analytically. The results are compared with those obtained empirically from real ground-truthed data. Potential extensions and improvements to the current implementation are also discussed.

关键词： Machine vision Surveillance Performance analysis Object detection Event detection Maintenance Cameras detection algorithms change detection algorithms Real time systems

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Recursive Tracking Of Vascular Trees In Angiograms Using A detection-deletion Scheme

Recursive Tracking Of Vascular Trees In Angiograms Using A D...

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

作者： Iching Liu Yiny Sun Department of Electrical Engineering University of Rhode Island Kingston RI USA

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Empty Speech Pause detection in Spontaneous Speech

Empty Speech Pause Detection in Spontaneous Speech

引用

International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Vojtech Stejskal Nikolaos Bourbakis Anna Esposito Department of Telecommunications University of Technology Czech Republic Wright State University Dayton OH USA Department of Psychology and IIASS Second University of Naples Italy

This work describes two new pause detection algorithms and compare their performance with four standard voice activity detection (VAD) methods represented by the adaptive long term spectral divergence (LTSD) algorithm, the likelihood ratio test (LRT) algorithm, the neural network thresholding and G.729. The proposed algorithms exploit the concept of adaptation in order to handle adverse conditions and spontaneous speech properties. The test data are recordings of spontaneous speech made in noisy environments. The experimental results show that the performance of proposed algorithms on noisy and even artificially cleaned speech are superior than that achieved by standard methods reported in literature.

关键词： Testing detection algorithms Working environment noise Signal to noise ratio change detection algorithms Light rail systems Cepstral analysis Speech enhancement Frequency conversion Artificial intelligence

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