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检索条件"主题词=change detection algorithms"

共 1588 条记录，以下是581-590 订阅

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Outlier detection via localized p-value estimation

Outlier detection via localized p-value estimation

引用

Annual Allerton Conference on Communication, Control, and Computing

作者： Manqi Zhao Venkatesh Saligrama Department of Electrical and Computer Engineering Boston University Boston MA USA

ISBN: (纸本)9781424458707

We propose a novel non-parametric adaptive outlier detection algorithm, called LPE, for high dimensional data based on score functions derived from nearest neighbor graphs on n-point nominal data. Outliers are predicted whenever the score of a test sample falls below ¿, which is supposed to be the desired false alarm level. The resulting outlier detector is shown to be asymptotically optimal in that it is uniformly most powerful for the specified false alarm level, ¿, for the case when the density associated with the outliers is a mixture of the nominal and a known density. Our algorithm is computationally efficient, being linear in dimension and quadratic in data size. The whole empirical receiving operating characteristics (ROC) curve can be derived with almost no additional cost based on the estimated score function. It does not require choosing complicated tuning parameters or function approximation classes and it can adapt to local structure such as local change in dimensionality by incorporating the technique of manifold learning. We demonstrate the algorithm on both artificial and real data sets in high dimensional feature spaces.

关键词： Testing Detectors Nearest neighbor searches Training data Level set detection algorithms Cost function Function approximation change detection algorithms Support vector machines

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A New Approach to Salt-and-Pepper Noise Removal for Color Image

A New Approach to Salt-and-Pepper Noise Removal for Color Im...

引用

International Joint Conference on INC, IMS and IDC, NCM

作者： Qing Xu Rui Zhang Mateu Sbert Department of Electronics Politecnico di Torino Italy School of Computer Science and Technology Tianjin University TJU Tianjin China Tianjin University TJU Tianjin China University of Girona Girona Spain

This paper presents a new filter by the combination of Progressive Switching Median (PSM) and Vector Median Filter (VMF). Based on the impulse noise detection, the proposed filter can remove salt-and-pepper noises for color images while preserving the image details well. Experimental results show that the proposed filter achieves better than PSM or VMF used alone.

关键词： Colored noise Color Pixel Euclidean distance Computer science Paper technology Nonlinear filters Attenuation change detection algorithms Filtering

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Lightweight Information Hiding in H.264/AVC Video Stream

Lightweight Information Hiding in H.264/AVC Video Stream

引用

International Conference on Multimedia Information Networking and Security (MINES)

作者： Ke Liao Dengpan Ye Shiguo Lian Zhichuan Guo Jinlin Wang National Network and New Media Research Center IACAS Beijing China School of Computer Science Wuhan University of China Wuhan Hubei China France Telecom Research and Development Orange Laboratories Beijing China

This paper proposes a new real-time information hiding algorithm on latest H.264/AVC video coding standard. The information is embedded into the trailing ones of 4×4 blocks during the context-based adaptive variable length coding (CAVLC) process. This algorithm is efficient with low computational complexity. The simulation results show that the degradation of video quality is negligible, and the same overall bit-stream length is maintained. Under the simulation of different RTP packet loss channels, the embedded information can be well recovered.

关键词： Automatic voltage control Streaming media Watermarking Steganography Video compression Copyright protection Computational complexity change detection algorithms Computational modeling Video coding

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Motion detection with Entropy in Dynamic Background

Motion Detection with Entropy in Dynamic Background

引用

International Asia Conference on Informatics in Control, Automation and Robotics, CAR

作者： Yu-Kumg Chen Tung-Yi Cheng Shuo-Tsung Chiu Department of Electronic Engineering Huafan University Taipei Taiwan

The traditional automatic smart image surveillance system can usually be used in the environment with still background. That is, the background image must not contain the moving objects. If there is waving ocean, waving tree, floating cloud, or raining in the background image, the traditional methods do not work well. In order to improve this problem, a new motion detection method based on the theory of entropy and combined a multi-periods sigma-delta background estimation algorithm is developed in this paper. Based on the theory of moving average, a moving thresholding method is designed in this paper to obtain a sequence of alarm announcements. Experiments are carried out for some samples with dynamic backgrounds to demonstrate the computational advantage of the proposed method.

关键词： Motion detection Entropy Intelligent systems Video surveillance IEEE news change detection algorithms Asia Informatics Automatic control Motion control

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Evolutionary programming with ensemble of explicit memories for dynamic optimization

Evolutionary programming with ensemble of explicit memories ...

引用

Congress on Evolutionary Computation

作者： E. L. Yu P. N. Suganthan School of Electrical and Electronic Engineering Nanyang Technological University Singapore

This paper presents the evolutionary programming with an ensemble of memories to deal with optimization problems in dynamic environments. The proposed algorithm modifies a recent version of evolutionary programming by introducing a simulated-annealing-like dynamic strategy parameter as well as applying local search towards the most improving directions. Diversity of the population is enhanced by an ensemble of external archives that serve as short-term and long-term memories. The archive members also act as the basic solutions when environmental changes occur. The algorithm is tested on a set of 6 multimodal problems with a total 49 change instances provided by CEC 2009 competition on evolutionary computation in dynamic and uncertain environments and the results are presented.

关键词： Dynamic programming Genetic programming Evolutionary computation Genetic mutations Artificial intelligence Machine learning Genetic algorithms Functional programming Testing change detection algorithms

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Musical audio semantic segmentation exploiting analysis of prominent spectral energy peaks and multi-feature refinement

Musical audio semantic segmentation exploiting analysis of p...

引用

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

作者： P. Romano G. Prandi A. Sarti S. Tubaro Dipartimento di Elettronica e Informazione Politecnico di Milano Italy

In this paper we present a novel hierarchical and scalable three-stage algorithm to effectively perform musical audio semantic segmentation. In the first stage, the energy spectrum of the entire audio track is analyzed to find significant energy textures that may characterize different semantic segments; in the second and third stages, tonal and timbric features are used to refine the segmentation by moving or deleting segment boundaries. Experimental results on a set of 58 songs show that our algorithm is able to attain good semantic segmentation just after the first step, with a precision of 64% and a recall of 96%. After second step the precision increases to 79%; the best precision result is obtained after the third step, where a value of 85% is reached. In this step the minimum average recall value of 92% is obtained.

关键词： Spectral analysis Hidden Markov models change detection algorithms Performance analysis Data mining Visualization Clustering algorithms Scalability Phase detection Algorithm design and analysis

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Research on Moving Object Detecting and Shadow Removal

Research on Moving Object Detecting and Shadow Removal

引用

International Conference on Information Science and Engineering (ICISE)

作者： Dan Li Jiansheng Qian Dept. of Inf. & Electr. Eng. CUMT Xuzhou China

The paper uses new methods to detect moving objects under different illumination environment. Improved on-line Gaussian Mixture Model combines background subtraction method is used to update the background image under gradual illumination changes environment and color gradient combines morphologic method to update the background image under sudden illumination changes environment. After analyzing the brightness and sensitivity characteristics of shadow in different colorspace such as RGB,HSV,YCbCr etc. The paper points out HSV colorspace is suitable to remove visible shadow and YCbCr colorspace is suitable to remove invisible shadow. The experiment shows that the system is effective and feasible.

关键词： Object detection Lighting change detection algorithms Optical filters Optical sensors Image motion analysis Layout Information science Brightness Noise figure

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Shadow detection in video surveillance by maximizing agreement between independent detectors

Shadow detection in video surveillance by maximizing agreeme...

引用

IEEE International Conference on Image Processing

作者： Juan C. SanMiguel José M. Martínez Video Processing and Understanding Laboratory Escuela Politécnica Superior Universidad Autónoma de Madrid Spain

This paper starts from the idea of automatically choosing the appropriate thresholds for a shadow detection algorithm. It is based on the maximization of the agreement between two independent shadow detectors without training data. Firstly, this shadow detection algorithm is described and then, it is adapted to analyze video surveillance sequences. Some modifications are introduced to increase its robustness in generic surveillance scenarios and to reduce its overall computational cost (critical in some video surveillance applications). Experimental results show that the proposed modifications increase the detection reliability as compared to some previous shadow detection algorithms and performs considerably well across a variety of multiple surveillance scenarios.

关键词： Video surveillance Detectors detection algorithms Training data Algorithm design and analysis Mutual information Iterative algorithms change detection algorithms Robustness Computational efficiency

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Target detection Algorithm Based on Fractal Features of Variance

Target Detection Algorithm Based on Fractal Features of Vari...

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International Workshop on Intelligent Systems and Applications, ISA

作者： Wen-Ming Dong Le-Hua Wu De-Lei Jiang Chao Han Chongqing Commun. Inst. Chongqing

Fractal dimension has been widly used for man-made targets detection because it can reflects an image's roughness. However, it always performs not very well because the other feature- intercept which reflects the the speed of surface change is neglected. Aimed to this problem, an improved algorithm about how to calculate the fractal dimension based on variance property of fractional brownian motion is presented and utilized with intercept feature together. And then,a detection algorithm is proposed. Experiments show that the method has good adaptability and improved the efficiency, whether the background or the objects has changed or not.

关键词： Object detection Fractals Rough surfaces Surface roughness Brownian motion Geometry Surface fitting Chaotic communication change detection algorithms detection algorithms

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Quasiconvex Alignment of Multimodal Skin Images for Quantitative Dermatology

Quasiconvex Alignment of Multimodal Skin Images for Quantita...

引用

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

作者： Siddharth K. Madan Kristin J. Dana Oana G. Cula Rutgers University Johnson & Johnson

ISBN: (纸本)9781424439942

In quantitative dermatology, high resolution sensors provide images that capture fine scale features like pores, birthmarks, and moles. Breathing and minute movements result in misregistration of micro level features. Many computer vision methods for dermatology such as change detection, appearance capture, and multi sensor fusion require high accuracy point-wise registration of micro level features. However, most computer vision algorithms are based on macro level features such as eyes, nose, and lips, and aren't suitable for registering micro level features. In this paper, we develop a practical robust algorithm to align face regions using skin texture with mostly indistinct micro level features. In computer vision, these regions would typically be considered featureless regions. Our method approximates the face surface as a collection of quasi-planar skin patches and uses quasiconvex optimization and the L{sub}∞ norm for estimation of spatially varying homographies. We have assembled a unique dataset of high resolution dermatology images comprised of over 100 human subjects. The image pairs vary in imaging modality (crossed, parallel and no polarization) and are misregistered due to the natural non-rigid human movement between image capture. This method of polarization based image capture is commonly used in dermatology to image surface and subsurface structure. Using this dataset, we show high quality alignment of "featureless" regions and demonstrate that the algorithm works robustly over a large set of subjects with different skin texture appearance, not just a few test images.

关键词： Skin Computer vision Image resolution change detection algorithms Robustness Face detection Polarization Image sensors Sensor phenomena and characterization Sensor fusion

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