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检索条件"主题词=change detection algorithms"

共 1588 条记录，以下是661-670 订阅

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change detection and Object Segmentation: A Histogram of Features-Based Energy Minimization Approach

Change Detection and Object Segmentation: A Histogram of Fea...

引用

Indian Conference on Computer Vision, Graphics & Image Processing (ICVGIP)

作者： Nilanjan Ray Baidya Nath Saha Hong Zhang Department of Computing Science University of Alberta Canada

We consider here a change detection problem: to find regions of change on a test image with respect to a reference image. Unlike the state-of-the-art change detection and background subtraction algorithms that compute only local (pixel location-based) changes, we propose to minimize a novel region-based energy functional based on Bhattacharya coefficient involving histograms of image features. The optimization of the proposed energy functional simply consists of two very efficient searches if a crude segmentation such as a bounding box around the region of change is sufficient. Also, it allows variational optimization via level set-based curve evolution for supervised binary image labeling. The framework is demonstrated to cope well with considerable camera motion and shifts of objects between the test and the reference images. We illustrate encouraging results on finding bounding box around abnormality from brain MRI, object detection for maritime surveillance, and segmenting oil-sand particles from conveyor belt images.

关键词： Object detection Object segmentation Histograms Testing Image segmentation change detection algorithms Pixel Labeling Cameras Magnetic resonance imaging

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Sequential Sparsification for change detection

Sequential Sparsification for Change Detection

引用

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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Adaptive GOP Size Control in AVS-P2 Based on Scene change detection

Adaptive GOP Size Control in AVS-P2 Based on Scene Change De...

引用

International Conference on Convergence Information Technology

作者： Z. Y. Wu H. Y. Yu B. Tang University of Electronic Science and Technology China

The coding efficiency of AVS-P2 for the video sequences, which have many scene changes, is generally low. If the scene changes are taken into consider for video compression, the encoding performance can be improved. An adaptive group of picture (GOP) size structure based on scene change is proposed here in AVS-P2 encoding. With a little additional computation, the proposed algorithm has improved the PSNR by 0.15~2.2 dB in the video sequences with scene changes.

关键词： Programmable control Adaptive control Size control Layout Encoding Video coding Video sequences Bit rate change detection algorithms Information technology

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A novel scene change detection algorithm based on the 3D wavelet transform

A novel scene change detection algorithm based on the 3D wav...

引用

IEEE International Conference on Image Processing

作者： Zhi Li Guizhong Liu School of Electronics and Information Engineering Xi'an Jiaotong University Xi'an China

This paper proposes a novel scene change detection algorithm based on the 3D wavelet transform. In scene change including cut, dissolve and fade, the frames have particular temporal and spatial layouts. The dissolve and the fade have strong temporal and spatial correlation; on the contract the correlation of the cut is weak. The 3D wavelet transform can effectively express the correlation of the several successive frames since the low-frequency and high-frequency component coefficients have the proper statistics regularities which can effectively identify the shot transitions. Three features are computed to describe the correlation of the shot transitions, which are input to support vector machines for scene change detection. Experimental results show that the method is effective for the gradual shot transition detection.

关键词： Layout detection algorithms Wavelet transforms Videos change detection algorithms Support vector machines Gunshot detection systems Histograms Object detection Motion detection

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Signal-domain registration for change detection in Time-Reversal SAR

Signal-domain registration for change detection in Time-Reve...

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Asilomar Conference on Signals, Systems & Computers

作者： Nicholas O'Donoughue Jose M.F. Moura Yuanwei Jin Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA Engineering and Applied Sciences Univ. of Maryland Princess Anne MD USA

ISBN: (纸本)9781424429400;9781424429417

change detection is a well-studied area of radar, involving the coherent comparison of two or more images. This is an important tool used to aid in surveillance, battle damage assessment, and other monitoring applications. For many of these applications, registration of the processed SAR imagery is sufficient, as opposed to registration of the raw signal-domain data. Time reversal SAR, however, is an adaptive waveform transmission technique for SAR that requires coherent processing of the data before image formation algorithms are applied. change detection for TR-SAR, then, must be performed as a pre-processing step. Ideally, the two change detection data collections would occur over the same trajectory and antenna positions, but this is not practical, and signal registration methods, rather than post-processing image registration, need to be developed and used to compensate for variations in the antenna's positions. In this work, we perform registration in the pre-processing stage, i.e., in the signal domain rather than in the image domain. We consider change detection in a mono-static TR-SAR scenario with the SAR antenna mounted on a linear railing, derive a model for the variations in trajectory positions between the two data collections, present our pre-processing methods, and verify them with experimental data.

关键词： Radar detection change detection algorithms Synthetic aperture radar Calibration Radar antennas Radar imaging Image registration Global Positioning System Accelerometers Signal to noise ratio

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Modeling and Clustering Techniques for Multi-Band change detection

Modeling and Clustering Techniques for Multi-Band Change Det...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Karin Griffis Maja Bystrom Department of Electrical and Computer Engineering Boston University USA

In this paper, two unsupervised methods for multi-band change detection are presented. Both methods model the multi-band difference image histogram in order to characterize different degrees of observed spectral changes. In the first approach, we extend the single-band change detection algorithm proposed by Prieto and Bruzzone in which a two-component mixture density is fit to the observed difference image histogram, where the components correspond to the changed and unchanged populations. The second approach employs the hierarchical modal associative clustering algorithm proposed by Li et al., in which a hierarchy of kernel densities at different bandwidths is employed to model the multi-band difference image histogram. The kernel density modes correspond to different scales of changes and are analyzed with respect to increasing kernel bandwidth so that changes occurring at different scales may be identified. Experiments, carried out on ASTER data; are conducted to display the changes captured by each method as well as to illustrate how the degrees of detected changes can be interpreted with respect to model complexity or scale.

关键词： Histograms Kernel change detection algorithms Bandwidth detection algorithms Clustering algorithms Remote sensing Displays Biological system modeling Alarm systems

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Adaptive Shot change detection Technique for Real-Time Operation on PMP

Adaptive Shot Change Detection Technique for Real-Time Opera...

引用

International Conference on Convergence Information Technology

作者： Won-Hee Kim Yong-Jae Jeong Kwang-Seok Moon Jong-Nam Kim Department of Electronic Computer Telecommunication Engineering Pukyong National University South Korea

Shot change detection is the main technique for automatic temporal segmentation of video. Until now, there were little research reports about real-time shot change detection for applying to hardware terminals with low performance such as PMPs (Portable Multimedia Player) and cellular phones. In this paper, we propose an adaptive real-time shot change detection algorithm using sub-sampling, weighting variance, and an adaptive threshold. We use weighting variance of frame difference for dividing feature extraction at a changed frame. We set an adaptive threshold using the average of variance from the next one of a last shot change frame to the previous one of a current frame. In the experiments, we obtained the detection rate of about 94.4% in overall accuracy. We verified real-time operation of shot change detection by implementing our algorithm on the TVUS HM-900 PMP from the company of Homecast. Therefore, our proposing algorithm will be helpful in searching video data on portable media player such as PMPs and cellular phones.

关键词： Gunshot detection systems Portable media players detection algorithms change detection algorithms Hardware Cellular phones Feature extraction Frequency domain analysis Cameras Histograms

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

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

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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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The Impact of Adaptive Speckle Filtering on Multi-Channel SAR change detection

The Impact of Adaptive Speckle Filtering on Multi-Channel SA...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Jason Fritz V. Chandrasekar Electrical & Computer Engineering Department Colorado State University Fort Collins CO USA

One of the most promising applications of synthetic aperture radar (SAR) imagery is change detection. However, the success of change detection algorithms is highly dependent on the type of change being detected. With the advent of multi-channel SAR systems (multi-frequency and/or polarimetric) new algorithms to improve change detection are being developed to take advantage of the additional information. However, these algorithms are still hindered by the speckle phenomena of radar imaging. Adaptive neighborhood filtering techniques have been shown to be effective to reduce speckle, but the impact on change detection has not been explored. The research presented explores the impact of an adaptive filtering algorithm on the probability of detection for synthesized changes.

关键词： Speckle Adaptive filters Filtering Radar detection detection algorithms change detection algorithms Testing Synthetic aperture radar Gas detectors Pixel

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On the Use of a New Additive Kernel for change detection using SVM

On the Use of a New Additive Kernel for Change Detection usi...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Tarek Habib Jordi Inglada Gregoire Mercier Jocelyn Chanussot GIPSA-Laboratory CNRS INP Grenoble France Centre national détudes spatiales (Cnes-DCT/SI/AP) CNRS FRE 3167 LabSTICC/CID Institut TelecomTelecom Bretagne France

In the context of change detection and due to the multitude of change scenarios, the objective is to build a generic change detection system. For many technical and operational reasons the Support Vector Machines (SVM) algorithm is used. One of the crucial steps when using the SVM algorithm is the choice of the kernel function. With the lack of a priori information the choice of the kernel function may be difficult for the user. In this paper several techniques for constructing a suitable kernel function obtained from the data are proposed.

关键词： Kernel Support vector machines Polynomials Equations Telecommunications change detection algorithms Support vector machine classification Testing Indium phosphide Discrete cosine transforms

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