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检索条件"主题词=change detection algorithms"

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Scene change Based Video Watermarking Algorithm

Scene Change Based Video Watermarking Algorithm

引用

International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)

作者： Khalid A. Darabkh Rasha M. Al-Sheikh Russia F. Haddad Ala’ F. Khalifeh The University of Jordan Amman Jordan German Jordanian University Amman Jordan

ISBN: (数字)9781728196732

ISBN: (纸本)9781728196749

In this work, a fully digital video watermarking algorithm is proposed. In other words, a novel hybrid DWT-based digital and blind video watermarking algorithm, associated with error correcting code (HDWT-DB-VW-ECC), is introduced. Interestingly, our proposed algorithm partitions the watermark depending on the number of cover video scenes and accordingly embeds each part of the watermark considering different video's scene frames and wavelet domain. To make sure that the algorithm's robustness is maintained, the error correcting code is incorporated into the watermark and particularly embedded in the audio channel. Actually, our HDWT-DB-VW-ECC algorithm mostly takes into consideration all types of attacks including intentional, unintentional, geometric, statistical and other attacks to which the video frames could be prone. Furthermore, it is a blind scheme, that is to say, it retrieves the embedded watermark without the need of the original video. In addition, the watermark embedded is perceptually invisible. The proposed algorithm design, experimental results, and comparisons with many other video watermarking schemes are fully described.

关键词： Watermarking Discrete wavelet transforms Robustness Error correction codes Wavelet domain change detection algorithms Partitioning algorithms

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Detecting changes in the Hurst parameter

Detecting changes in the Hurst parameter

引用

Conference on Local Computer Networks (LCN)

作者： S. Chatterjee M.H. MacGregor S. Bates Department of Electrical and Computer Engineering University of Alberta Canada Department of Computing Sciences University of Alberta Canada

The Hurst parameter characterizes the degree to which a time series is long range dependent (LRD). The value of this parameter can be used as an input to algorithms for bandwidth allocation, buffer sizing and congestion control. However, for these algorithms to be effective over the long run they must change their actions when the value of the Hurst parameter changes. We demonstrate a new technique which uses a wavelet decomposition to detect a change in the Hurst parameter. Our technique tests the variance structure of the wavelet coefficients at multiple scales and uses changes in variance to signal a change in the value of the Hurst parameter. The efficacy of the proposed technique is demonstrated by comparing its performance to that of another recently proposed method for change detection. The performance tests were conducted using artificially generated data sets which contain changes in the Hurst parameter of known position, magnitude and sign.

关键词： Time domain analysis Discrete wavelet transforms Wavelet transforms change detection algorithms Wavelet domain Real time systems Correlation

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Thermal detection contrast of human targets

Thermal detection contrast of human targets

引用

International Carnahan Conference on Security Technology

作者： H.D. Arlowe Advanced Systems Integration Department 9561 Sandia National Laboratories Albuquerque NM USA

Work on automatic detection systems based on the thermal contrast and motion of human intruders has shown that detection is sometimes difficult, depending on solar and other environmental conditions. The conditions and energy transfer mechanisms that lead to difficult thermal detection are discussed. The infrared search and track concept is described. detection limitations due to noise and poor contrast, and detection as a function of background are discussed. The advantages of high resolution detection systems are considered. The heat flux balance equation can be used in an iterative computer program to predict the surface temperatures of both the background and the target. The main problem with this approach is that the results are only as good as the quality and the detail of the model. Since the difference between successful detection of a target and no detection is only 1 or 2 degrees C, small errors in the input information can easily result in incorrect conclusions. The big advantage is that doing heat flux balance calculations gives the researcher a good idea which terms are the most important for a given situation.< >

关键词： Humans Temperature sensors Radiation detectors Sensor arrays Laboratories Motion detection Target tracking Object detection Land surface temperature change detection algorithms

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Using software invariants for dynamic detection of transient errors

Using software invariants for dynamic detection of transient...

引用

Latin American Test Workshop, LATW

作者： Carlos Arthur Lisboa Carmela Grando Alvaro de Freitas Moreira Luigi Carro Instituto de Informatica PPGC Universidade Federal do Rio Grande do Sul Brazil Universidade Federal do Rio Grande do Sul Porto Alegre RS BR

Software based error detection techniques usually imply modification of the algorithms to be hardened, and almost certainly also demand a huge memory footprint and/or execution time overhead. In the software engineering field, program invariants have been proposed as a means to check program correctness during the development cycle. In this work we discuss the use of software invariants verification as a low cost alternative to detect soft errors after the execution of a given algorithm. A clear advantage is that this approach does not require any change in the algorithm to be hardened, and in case its computational cost and memory overhead are proven to be much smaller than duplication for a given algorithm, it may become a feasible option for hardening that algorithm against soft errors. The results of fault injection experiments performed with different algorithms are analyzed and some guidelines for future research concerning this technique are proposed.

关键词： Circuit faults Clocks Software algorithms Costs change detection algorithms Space vector pulse width modulation Redundancy Computational efficiency Integrated circuit technology Logic

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A particle Swarm Optimization approach for parameter identification of Lorenz chaotic system

A particle Swarm Optimization approach for parameter identif...

引用

Annual Conference of Industrial Electronics Society

作者： Hamidreza Modarres Alireza Alfi Faculty of electrical and Robotic engineering Shahrood University of Technology Shahrood Iran

An important problem in engineering is the identification of nonlinear systems, among them chaotic systems have received particular attention due to their complex and unpredictable behaviors. In this paper, a Particle Swarm Optimization (PSO) technique is applied for online parameter identification of Lorenz chaotic system. The difficulties of online implementation mainly come from the unavoidable computational time to find a solution. Due to this, first an Improved Particle Swarm Optimization (IPSO) is proposed to increase the convergence speed and accuracy of the Standard Particle Swarm Optimization (SPSO) to save tremendous computation time. Second, IPSO is also improved to detect and determine the variation of parameters. Finally, a numerical example is given to verify the effectiveness of the proposed method compared to Genetic Algorithm (GA) and SPSO.

关键词： Particle swarm optimization Parameter estimation Chaos Chaotic communication Communication system control Control systems Adaptive control change detection algorithms Robots Nonlinear systems

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Registration of LiDAR data through stable surface matching

Registration of LiDAR data through stable surface matching

引用

International Conference on Geoinformatics

作者： Pravesh Kumari Ramesh Shrestha Bill Carter University of Florida Gainesville USA

ISBN: (纸本)9781424445622

The accuracy of final LiDAR points on ground depends on various factors including GPS/IMU position and orientation, laser range and scan angle measurements. As a result, the adjacent overlapping swaths or flight strips fail to match with each other. Surface matching is a common procedure used to relatively register the LiDAR data and reduce the mismatch between the overlapping strips. However, in case of smooth topography with fewer features, classical registration algorithms render poor results. This paper presents a modified registration technique for the optimal relative registration of LiDAR data over a flat terrain with fewer features. In this method, the feature samples used in the algorithm are selected depending on their geometric stability. The points from overlapping strips are matched through iteratively closest point (ICP) method based on minimizing point to plane normal distance.

关键词： Laser radar Surface topography Iterative algorithms Iterative closest point algorithm Strips Calibration Fault detection Surface emitting lasers Global Positioning System change detection algorithms

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A Robust Facial Feature Points Location Algorithm under Variable Illumination

A Robust Facial Feature Points Location Algorithm under Vari...

引用

IEEE International Conference on Mechatronics and Automation

作者： Liansheng Zhuang Yong Wang Bin Li Zhenquan Zhuang Hao Zhang MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology Hefei Anhui China

In this paper, a novel algorithm is proposed to locate facial feature points robustly and accurately. It uses the coarse-to-fine strategy to search feature points. Firstly, it used phase congruency to model the feature points locally and locate facial feature points roughly. Secondly, it used reflectance, which is intrinsic texture of object, to drive the search of fine location. Experiments showed that our algorithm could locate the feature points more accurately and robustly, and work efficiently even under a wide range of illumination and poor initialization

关键词： Robustness Facial features Lighting Reflectivity Active shape model Face recognition Laboratories Multimedia computing change detection algorithms Shadow mapping

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Sub-pixel land cover mapping based on Markov random field models

Sub-pixel land cover mapping based on Markov random field mo...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： T. Kasetkasem M.K. Arora P.K. Varshney Electrical Engineering Department Kasetsart University Bangkok Thailand Department of Electrical Engineering and Computer Science Syracuse University Syracuse NY USA

Occurrence of mixed pixels in remote sensing images is a common phenomenon particularly in coarse spatial resolution images. In these cases, sub-pixel or soft classification may be preferred over conventional hard classification. However, sub-pixel classification fails to account for the spatial distribution of class proportions within the pixel. A better approach may be to generate a land cover map at a finer resolution from the coarse resolution images based on image models that accurately characterize the spatial distribution of the classes. The resulting fine resolution map may be called a sub-pixel or super resolution map. In this paper, an approach based on Markov random fields is introduced to generate sub-pixel land cover maps from remote sensing images dominated by mixed pixels.

关键词： Markov random fields Pixel Spatial resolution Image resolution Remote sensing Scanning probe microscopy change detection algorithms Character generation Frequency Data mining

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Opportunistic Spectrum Access: Online Search of Optimality

Opportunistic Spectrum Access: Online Search of Optimality

引用

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

作者： Afef Ben Hadj Alaya-Feki Berna Sayrac Eric Moulines Alain Le Cornec Telecom ParisTech France Orange Labs R&D France Orange Laboratories Research and Development France Telecom ParisTech Orange Labs R&D

This paper presents an online tuning approach for the ad-hoc reinforcement learning algorithms which are used for solving the exploitation-exploration dilemma of the opportunistic spectrum access, in dynamic environments. These algorithms originate from a well-known problem in computer science: the multi-armed bandit (MAB) problem and they have provided evidence to be viable solutions for the detection and exploration of white spaces in opportunistic spectrum access. Previous work (A. Ben Hadj Alaya-Feki et al., 2008) has shown that the reinforcement learning solutions of the MAB problem are very sensitive to the statistical properties of the wireless medium access and therefore need careful tuning according to the dynamic variations of the wireless environment. This paper deals with the online tuning of those algorithms by proposing and assessing two different approaches: 1-a meta learning approach where a second learner (meta learner) is used to learn the parameters of the base learner, and 2-the Exp3 algorithm that has been previously proposed for dynamical tuning of MAB parameters in other contexts. The simulation results obtained on an IEEE 802.11medium access scenario show that one of the proposed meta-learning methods, namely the change point detection method, achieves much better performance compared to the other methods.

关键词： Tuning Learning White spaces change detection algorithms Computer science Wireless sensor networks Research and development Telecommunications Testing Evolutionary computation

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Enhanced binary tree genetic algorithm for automatic land cover classification

Enhanced binary tree genetic algorithm for automatic land co...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： K. Palaniappan Feng Zhu Xinhua Zhuang Yunxin Zhao A. Blanchard Department of Computer Engineering and Computer Science Multimedia Communication and Visualization Laboratory USA Department of Electrical Engineering University of Missouri Columbia MO USA

The development of automatic land cover classification maps using validated statewide datasets supported by state and federal agencies are becoming an important tool for monitoring change, planning, and land use impact assessment. Accurate and fast classification algorithms, adaptive to different data sources and scales, will facilitate cost effective routine updating of land cover maps using current satellite imagery to monitor and detect a broad array of land cover phenomena. A new binary decision tree classifier incorporating an evolutionary genetic learning algorithm is proposed for land cover classification. The new classifier referred to as the Enhanced Binary Tree Genetic Algorithm (BTGA+) has been applied to automatically classify tens of millions of pixels in two full scenes of Landsat TM data using multispectral multitemporal radiance features. The BTGA+ classifier can assign pixels into eight land cover categories for Landsat TM scenes in central Missouri with nearly 90% classification accuracy.

关键词： Binary trees Genetic algorithms Classification tree analysis Satellites Layout Remote sensing Computerized monitoring Land use planning change detection algorithms Classification algorithms

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