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检索条件"主题词=change detection algorithms"

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change detection using the object features

Change detection using the object features

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Irmgard Niemeyer Prashanth Reddy Marpu Sven Nussbaum TU Bergakademie Freiberg Institute of Mine-Surveying and Geodesy Freiberg Germany Systems Analysis and Technology Evaluation Institute of Energy Research Research Centre Juelich Julich Germany

For the detection of changes, several statistical techniques exist. When adopted to high-resolution imagery, the results of the traditional pixel-based algorithms are often limited. Especially if small structural changes are to be detected, object- based procedures show promises. In the given paper, we propose an unsupervised object-based change detection and change classification approach based on the object features. Following the automatic pre-processing, image objects and their object features are extracted. change detection is performed by the multivariate alteration detection (MAD), accompanied by the maximum autocorrelation factor (MAF) transformation. The change objects are then classified using the fuzzy maximum likelihood estimation (FMLE). Finally the classification of changes is improved by probabilistic label relaxation.

关键词： Object detection Image segmentation Pixel Feature extraction Data mining Layout Eigenvalues and eigenfunctions change detection algorithms Shape measurement Geodesy

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A New Vehicle detection with Distance Estimation for Lane change Warning Systems

A New Vehicle Detection with Distance Estimation for Lane Ch...

引用

IEEE Symposium on Intelligent Vehicle

作者： Bing-Fei Wu Wei-Hsin Chen Chai-Wei Chang Chao-Jung Chen Ming-Wei Chung Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan

In this paper, the vehicle detection with distance estimation algorithm is proposed by using two CCD cameras mounted on the both side mirrors of our experimental car, TAIWAN iTS-1. The Sobel edge pixels and gray intensity are applied for the lane marking and vehicle detection in our work. A new detection which utilizes a lane prediction technique to reduce the size of the ROI is developed for real-time embedded system applications. The side vehicles can be easily detected by comparing the gray intensity with the road surface. Then, the image coordinate model is utilized for the distance estimation with the detected approaching vehicles. The verified effective distance is 30 m behind the host vehicle. This approach has been successfully implemented on the DSP board for the real-time detection and this system will be extended to the lane change warning system to give drivers alerts to avoid collision.

关键词： Vehicle detection Alarm systems Real time systems change detection algorithms Charge coupled devices Charge-coupled image sensors Mirrors Embedded system Road vehicles Digital signal processing

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A Color-Based Gray-Level Compensation Algorithm for Fast change detection

A Color-Based Gray-Level Compensation Algorithm for Fast Cha...

引用

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

作者： Chang Su Aishy Amer Electrical and Computer Engineering Concordia University Montreal QUE Canada

Gray-level based change detection is effective but suffers when gray-levels of objects are similar to backgrounds. A color-based gray-level compensation algorithm for fast change detection is proposed in this paper. Based on the object scatter estimation in difference frames, the gray-levels of the non-significant pixels in object regions are compensated according to their significance probabilities in color channels. Experimental results show that the proposed method significantly improve the quality of difference frames.

关键词： change detection algorithms Colored noise Object detection Scattering Testing Image segmentation Video compression Image processing Image color analysis Euclidean distance

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A fast algorithm for MPEG video segmentation based on macroblock

A fast algorithm for MPEG video segmentation based on macrob...

引用

4th International Conference on Fuzzy Systems and Knowledge Discovery

作者： Wang, Xuejun Wang, Shigang Chen, Hexin Jilin Univ Coll Commun Engn Changchun 130012 Peoples R China

ISBN: (纸本)0769528740

. A fast algorithm for MPEG compressed video segmentation based on macroblock (MB) is presented in this paper. The proposed method can detect the scene change boundaries accurately through the macroblock information of B-frame and P-frame which can be extracted from the encoded bit-stream directly without total decompression for MPEG bit-stream, so the detecting speed is quick. Simulation results in different sequences show that the proposed algorithm is effective and accurate for detecting scene change boundaries in APEG video.

关键词： Video compression Transform coding Layout Streaming media change detection algorithms Decoding Content based retrieval Gunshot detection systems Image coding Algorithm design and analysis

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Mapping Forest change in Borneo in 2000-2006 by a Multispectral Statistically-Based detection Technique with SPOT-VEGETATION

Mapping Forest Change in Borneo in 2000-2006 by a Multispect...

引用

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

作者： Sophie Bontemps Pierre Defourny Research Laboratory in Environmetrics and Geomatics Université catholique de Louvain Louvain-la-Neuve Belgium

This research aims to develop a multispectral, object-oriented and statistically-based change detection method using SPOT-VEGETATION time series. The dataset consists in daily images spanning years 2000 to 2006 and covering Bornean forest ecosystems. Seasonal composites are processed and homogeneous objects are delineated through a multi-temporal segmentation procedure. Each object is defined by a signature describing its spectral behaviour during years to compare. Such signature is formed by reflectance values of analyzed composites and is statistically expressed allowing accounting for temporal correlations existing between and within time series. Each object is compared to an unchanged situation through a distance computation and a Chi-square test. Objects associated to high distances -indicative of change -are identified and associated to a change probability. The algorithm analyses red, NIR, SWIR and NDVI channels independently, resulting in four distinct sets of detections. These results are then combined to keep only objects detected as changed by the four channels. The overall accuracy ranges from 80% to 91% according to the threshold of probability used and the compared years. In terms of change temporal trajectories, we note a sharp increase of changed area in 2003. We also observe that from 2000 to 2006, fire is always the dominant change factor, with 62% to 82% of detections corresponding to burned areas. Our observations confirm that Borneo currently undergoes environmental degradation dynamics.

关键词： Ecosystems Image segmentation Reflectivity Time series analysis Testing Probability change detection algorithms Algorithm design and analysis Object detection Fires

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Hybrid change detection for Aircraft Engine Fault Diagnostics

Hybrid Change Detection for Aircraft Engine Fault Diagnostic...

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IEEE Conference on Aerospace

作者： Xiao Hu Neil Eklund Kai Goebel William Cheetham GE Global Research One Research Circle Schenectady NY GE Global Research Center Schenectady NY USA RIACS NASA Ames Research Center CA GE Global Research One Research Circle Schenectady NY USA

change detection is an important task for remote monitoring, fault diagnostics and system prognostics. When a fault occurs, it will often times cause changes in measurable quantities of the system. Early detection of changes in system measurements that indicate abnormal conditions helps the diagnostics of the fault so that appropriate maintenance action can be taken before the fault progresses, causes secondary damage to the system and the equipment experiences downtime. In this paper, we investigate the performance of a suite of change detection algorithms. A set of synthetic time series data with different change patterns are generated based on the empirical distribution of real engine performance data so that the individual change detection algorithm can be evaluated and compared against each other. At last, the results from the individual change detection algorithms are fused together to demonstrate that the ensemble of the change detection algorithms generates better performance than any individual detection algorithm.

关键词： Fault detection Aircraft propulsion detection algorithms Costs Signal processing algorithms Equipment failure change detection algorithms Power generation economics Sequential analysis Computational intelligence

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change detection methodology based on region classification fusion

Change detection methodology based on region classification ...

引用

International Conference on Information Fusion

作者： Ting Liu George Gigli George A. Lampropoulos A.U.G. Signals Limited Toronto ONT Canada

ISBN: (纸本)9780662478300;0662478304

In this paper, several classification methods are presented and a fusion structure is included to improve the final classification performance. The definition of "layer" and the method to create it are then introduced. Based on "layer", a multiple level change detection algorithm is proposed, which gives the details of the changes in each region and is demonstrated to be an easy, effective and reliable method. Experimental results are provided using RADARSAT images, which have been registered with the automated registration algorithm of A.U.G. Signals that is currently available under the distributed processing system ***.

关键词： Phase detection Remote monitoring Pixel change detection algorithms Distributed processing Radar detection Principal component analysis Decision trees Surface topography Image resolution

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A probabilistic generative model for unsupervised invariant change detection in remote sensing images

A probabilistic generative model for unsupervised invariant ...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Fernando Perez Nava Alejandro Perez Nava Dept. de Estad??stica Inv. Operativa y Computaci??n Universidad de La Laguna Islas Canarias 38271 Spain

In this paper we present a probabilistic generative model for the change detection problem. Generative models represent homogeneously all relevant variables in a specific domain by a joint probability distribution. The proposed model explicitly represents the image formation process (including possible brightness transforms between images or registration errors) and is invariant to affine changes in pixel intensities or small georegistration errors. There are several benefits from such theoretical formulation: all the modeling assumptions are explicit and the method to solve the change detection problem is not intrinsic to the formulation. The use of probabilistic models also leads to sound and well-known statistical techniques for problems like parameter estimation or regularization. The experimental results confirm the validity of the approach.

关键词： Remote sensing Pixel Brightness Hidden Markov models Probability distribution Image generation Parameter estimation Distributed computing change detection algorithms Acoustic noise

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Tree Mining Application to Matching of Heterogeneous Knowledge Representations

Tree Mining Application to Matching of Heterogeneous Knowled...

引用

IEEE International Conference on Granular Computing (GRC)

作者： Fedja Hadzic Tharam S. Dillon Elizabeth Chang Digital Ecosystems and Business Intelligence Institute Curtin University of Technology Perth Australia

Matching of heterogeneous knowledge sources is of increasing importance in areas such as scientific knowledge management, e-commerce, enterprise application integration, and many emerging Semantic Web applications. With the desire of knowledge sharing and reuse in these fields, it is common that the knowledge coming from different organizations from the same domain is to be matched. We propose a knowledge matching method based on our previously developed tree mining algorithms for extracting frequently occurring subtrees from a tree structured database such as XML. Using the method the common structure among the different representations can be automatically extracted. Our focus is on knowledge matching at the structural level and we use a set of example XML schema documents from the same domain to evaluate the method. We discuss some important issues that arise when applying tree mining algorithms for detection of common document structures. The experiments demonstrate the usefulness of the approach.

关键词： Knowledge representation XML Ontologies Knowledge management Automation change detection algorithms Semantic Web Buildings Web services Application software

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A Framework for Evolving Multi-Shaped Detectors in Negative Selection

A Framework for Evolving Multi-Shaped Detectors in Negative ...

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IEEE Symposium on Foundations of Computational Intelligence, FOCI

作者： Sankalp Balachandran Dipankar Dasgupta Fernando Nino Deon Garrett Computer Science Department University of Memphis USA Universidad Nacional de Colombia USA

This paper presents a framework to generate multi-shaped detectors with valued negative selection algorithms (NSA). In particular, detectors can take the form of hyper-rectangles, hyper-spheres and hyper-ellipses in the non-self space. These novel pattern detectors (in the complement space) are evolved using a genetic search (the structured genetic algorithm), which uses hierarchical genomic structures and a gene activation mechanism to encode multiple detector shapes. This genetic search (the structured GA) allows in maintaining diverse shapes while contributing to the proliferation of best suited detector shapes in expressed phenotype. The results showed that a significant coverage of the non-self space could be achieved with fewer detectors compared to other NSA approaches (using only single-shaped detectors). The uniform representation scheme and the evolutionary mechanism used in this work can serve as a baseline for further extension to use several shapes, providing an efficient coverage of non-self space.

关键词： Detectors change detection algorithms Genomics Bioinformatics Computational intelligence Genetic algorithms Evolutionary computation Shape measurement Biological cells Computer science

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