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检索条件"主题词=change detection algorithms"

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Topography-dependent motion compensation: Application to UAVSAR data

Topography-dependent motion compensation: Application to UAV...

引用

IEEE National Conference on Radar

作者： Cathleen Jones Scott Hensley Thierry Michel Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

The UAVSAR L-band synthetic aperture radar system has been designed for repeat track interferometry in support of Earth science applications that require high-precision measurements of small surface deformations over timescales from hours to years. Conventional motion compensation algorithms, which are based upon assumptions of a narrow beam and flat terrain, yield unacceptably large errors in areas with even moderate topographic relief, i.e., in most areas of interest. This often limits the ability to achieve sub-centimeter surface change detection over significant portions of an acquired scene. To reduce this source of error in the interferometric phase, we have implemented an advanced motion compensation algorithm that corrects for the scene topography and radar beam width. Here we discuss the algorithm used, its implementation in the UAVSAR data processor, and the improvement in interferometric phase and correlation achieved in areas with significant topographic relief.

关键词： Motion compensation change detection algorithms Surface topography Layout L-band Radar tracking Interferometry Geoscience Radar detection Error correction

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Semi-Supervised Background Subtraction Of Unseen Videos: Minimization Of The Total Variation Of Graph Signals

Semi-Supervised Background Subtraction Of Unseen Videos: Min...

引用

IEEE International Conference on Image Processing

作者： Jhony H. Giraldo Thierry Bouwmans Laboratoire MIA La Rochelle Université France

ISBN: (数字)9781728163956

ISBN: (纸本)9781728163963

Recently, several successful methods based on deep neural networks have been proposed for background subtraction. These deep neural algorithms have almost perfect performance, relying in the availability of ground-truth frames of the tested videos during the training step. However, the performance of some of these algorithms drops significantly when tested on unseen videos. In this paper, concepts of semi-supervised learning are introduced in the problem of background subtraction for unseen videos. We propose a new algorithm named Graph-BGS-TV, this method uses: Mask R-CNN for instances segmentation; temporal median filter for background initialization; motion, texture, and intensity features for representing the nodes of a graph; k-nearest neighbors for the construction of the graph; and finally a total variation minimization algorithm to solve the problem of background subtraction. GraphBGS-TV is tested in the change detection dataset, outperforming unsupervised and supervised methods in the challenges “PTZ” and “shadows”.

关键词： Videos TV Minimization Semisupervised learning change detection algorithms Classification algorithms Training

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detection of a reflective layer in a random layered medium using time reversal [acoustic measurement method]

Detection of a reflective layer in a random layered medium u...

引用

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

作者： O.V. Poliannikov J.-P. Fouque Department of Mathematics North Carolina State University Raleigh NC USA

We propose a method of detecting a reflective layer in a layered random medium using the time reversal of an acoustic wave. Comparing the refocused signal with the original probing pulse enables us to detect a change it the medium's acoustic properties. The depth of the reflector is pinpointed even in the absence of a direct coherent reflection. We present experimental results validating the proposed algorithm.

关键词： Acoustic signal detection Acoustic pulses Acoustic reflection Acoustic waves Pulse generation Mathematics change detection algorithms Landmine detection Earth Humans

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Multiple fault diagnosis using n-detection tests

Multiple fault diagnosis using n-detection tests

引用

IEEE International Conference on Computer Design: VLSI in Computers and Processors, (ICCD)

作者： Z. Wang M. Marek-Sadowska K.-H. Tsai J. Rajski Department of Electrical and Computer Engineering University of California Santa Barbara CA USA Mentor Graphics Corporation Wilsonville OR USA

We study the relationship between multiple fault diagnosability and fault detection count. Instead of developing a complex diagnostic algorithm for multiple fault behavior, we change the test sets used in test and diagnosis. This allows us to apply a simple single-fault based diagnostic algorithm, and yet achieve very good diagnosability for the failure test cases caused by multiple faults. We have verified experimentally the effectiveness of n-detection tests for multiple-fault cases and explained the results in probabilistic terms.

关键词： Fault diagnosis Circuit faults Fault detection Circuit testing Electrical fault detection change detection algorithms Bridge circuits Manufacturing Failure analysis Sequential analysis

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A Clustering Technique using Density Difference

A Clustering Technique using Density Difference

引用

International Conference on Signal Processing, Communication and Networking (ICSCN)

作者： B. Borah D.K. Bhattacharyya Department of Computer Science and Engineering Tezpur University Tezpur India

Finding clusters with widely differing sizes, shapes and densities in presence of noise and outliers is a challenging job. The DBSCAN algorithm is a versatile clustering algorithm that can find clusters with differing size and shape in databases containing noise and outliers. But it cannot find clusters with different densities. We extend the DBSCAN algorithm so that it can also detect clusters that differ in densities. While expanding a cluster local density is taken into consideration. Starting with a core object a cluster is extended by expanding only those density connected core objects whose neighbourhood sizes are within certain ranges as determined by their neighbours already existing in the cluster. Our algorithm detects clusters even if they are not separated by sparse regions. The computational complexity of the modified algorithm (O(n log n)) remains same as the original DBSCAN

关键词： Clustering algorithms Partitioning algorithms Shape Noise shaping change detection algorithms Databases Computational complexity Computer science Data engineering Object detection

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Iterative estimation of Antarctic sea ice extent using SeaWinds data

Iterative estimation of Antarctic sea ice extent using SeaWi...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Q.P. Remund D.G. Long MERS Laboratory Brigham Young University Provo UT USA

Polar sea ice extent is an important input to global climate models and is considered to be a sensitive indicator of climate change. An algorithm has previously been developed for sea ice extent detection using data from the NASA scatterometer (NSCAT). This paper discusses the extension of that algorithm to data from SeaWinds on QuikSCAT. Due to differences in the two instruments, several modifications to the algorithm are needed for adaptation to SeaWinds data. Enhanced resolution, reconstructed SeaWinds imagery is generated using the scatterometer image reconstruction (SIR) algorithm. Images of the modified polarization ratio, h-pol /spl sigma//sup 0/, and the hand v-pol /spl sigma//sup 0/ estimate error standard deviations are used in the discrimination. An iterative maximum likelihood classifier is developed to segment sea ice and open ocean pixels. Residual classification errors are reduced through binary image processing techniques. The resulting ice extent estimates are highly correlated with the NASA Team algorithm 30% ice concentration edges derived from SSM/I data.

关键词： Antarctica Sea ice change detection algorithms Iterative algorithms NASA Radar measurements Image reconstruction Instruments Image resolution Image generation

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On two new criteria of optimality for the problem of sequential change diagnosis

On two new criteria of optimality for the problem of sequent...

引用

American Control Conference (ACC)

作者： I.V. Nikiforov L.A.I.L. URA CNRS Universite des Sciences et de la Technologie de Lille Villeneuve d'Ascq France

Addresses the problem of detecting and isolating abrupt changes in systems with random disturbances. In this paper the author establishes two new criteria of optimality for this problem. The author defines two classes of change detection and isolation algorithms, gives an asymptotically optimal solution to the above problems, investigates the statistical properties of the proposed algorithm and proves optimality theorems for each case.

关键词： change detection algorithms Signal processing algorithms Radar detection Sonar detection Aerospace control Sonar navigation Radar signal processing Isolation technology Event detection Monitoring

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Autonomous Identification of Selfish Colluders in Traitor-within-Traitor Behavior Forensics

Autonomous Identification of Selfish Colluders in Traitor-wi...

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

作者： H. Vicky Zhao K. J. Ray Liu Department of ECE University of Alberta Edmonton AB Canada ECE Department University of Maryland College Park MD USA

During multi-user collusion attacks against digital fingerprinting, an important issue that colluders have to address is to distribute the risk evenly among all colluders and achieve fairness of the attack. Although they might agree so, some selfish colluders may break their agreement and process their fingerprinted copies before collusion in order to further reduce their own risk. To protect their own interest, other colluders have to detect these selfish colluders and exclude them from multi-user collusion. This paper studies this problem of traitors within traitors. We propose an autonomous selfish colluder detection and identification algorithm, in which colluders help each other detect selfish behavior. We show that the proposed algorithm can correctly identify all selfish colluders without falsely accusing any others, even when a small group of selfish colluders collaborate with each other to change the detection results.

关键词： Forensics Fingerprint recognition Protection Signal processing algorithms Security change detection algorithms Multimedia systems Detectors Collaboration Video signal processing

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SEEHOC: scalable and robust end-to-end header compression techniques for wireless ad hoc networks

SEEHOC: scalable and robust end-to-end header compression te...

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IEEE Globecom Workshops

作者： M. Kaddoura S. Schneider Architecture Technology Corporation Eden Prairie MN USA

End-to-end header compression provides a cost-effective mechanism for increasing the utilization and efficiency of wireless ad hoc networks. Current header compression algorithms are targeted towards directly connected nodes. In this paper, we discuss novel techniques that enable end-to-end header compression for multimedia flows traversing wireless ad hoc networks. Utilizing OPNET simulations and a rapid prototype, we show that the techniques significantly improve the utilization and efficiency of wireless ad hoc networks without introducing overheads that might cause loss of packets or impact the quality of the flows.

关键词： Robustness Ad hoc networks Mobile ad hoc networks Compression algorithms Bandwidth Virtual prototyping Wireless application protocol Wireless networks change detection algorithms Contracts

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Summarization and Indexing of Human Activity Sequences

Summarization and Indexing of Human Activity Sequences

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IEEE International Conference on Image Processing

作者： Bi Song Namrata Vaswani Amit K. Roy-chowdhury Department of EE University of California Riverside CA USA Department of ECE Iowa State University Ames IA USA

In order to summarize a video consisting of a sequence of different activities, there are three fundamental problems: tracking the objects of interest, detecting the activity change times and recognizing the new activity. This paper presents an algorithm for achieving all these three tasks simultaneously and presents results on how it can used for indexing and summarizing a real-life video sequence. Human activities are represented by a model for the dynamics of the shape of the human body contour. Measures are designed for detecting both gradual transitions and sudden changes between activity models.

关键词： Indexing Humans Particle tracking Biological system modeling change detection algorithms Image edge detection Particle filters Active shape model Tracking loops State-space methods

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