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检索条件"主题词=Detection and tracking algorithms"

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AKITA™: Application Knowledge Interface To algorithms

AKITA™: Application Knowledge Interface To Algorithms

引用

Conference on Automatic Target Recognition XXIII

作者： Barros, Paul Mathis, Allison Newman, Kevin Wilder, Steven Lockheed Martin Corp Bethesda MD 20817 USA

ISBN: (纸本)9780819495358

We propose a methodology for using sensor metadata and targeted preprocessing to optimize which selection from a large suite of algorithms are most appropriate for a given data set. Rather than applying several general purpose algorithms or requiring a human operator to oversee the analysis of the data, our method allows the most effective algorithm to be automatically chosen, conserving both computational, network and human resources. For example, the amount of video data being produced daily is far greater than can ever be analyzed. Computer vision algorithms can help sift for the relevant data, but not every algorithm is suited to every data type nor is it efficient to run them all. A full body detector won't work well when the camera is zoomed in or when it is raining and all the people are occluded by foul weather gear. However, leveraging metadata knowledge of the camera settings and the conditions under which the data was collected (generated by automatic preprocessing), face or umbrella detectors could be applied instead, increasing the likelihood of a correct reading. The Lockheed Martin AKITA system is a modular knowledge layer which uses knowledge of the system and environment to determine how to most efficiently and usefully process whatever data it is given.

关键词： detection and tracking algorithms Video Sensors Video processing Image processing Computer vision technology Machine vision Algorithm development Cameras Data modeling

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Advances in Displaying Uncertain Estimates of Multiple Targets

Advances in Displaying Uncertain Estimates of Multiple Targe...

引用

Conference on Signal Processing, Sensor Fusion, and Target Recognition XXII

作者： Crouse, David Frederic Naval Res Lab Washington DC USA

ISBN: (纸本)9780819495365

Both maximum likelihood estimation as well as minimum mean optimal subpattern assignment (MMOSPA) estimation have been shown to provide meaningful estimates in instances of target identity uncertainty when the number of targets present is known. Maximum likelihood measurement to track association (2D assignment) has been widely studied and is reviewed in this paper. However, it is widely believed that approximate MMOSPA estimation can not be performed in real time except when considering a very small number of targets. This paper demonstrates the MMOSPA estimator arises as a special case of a minimum mean Wasserstein metric estimator when the number of targets is unknown. Additionally, it is shown that approximate MMOSPA estimates can be calculated in microseconds to miliseconds without extensive optimization, making MMOSPA estimation a practicable alternative to more traditional estimators.

关键词： detection and tracking algorithms MATLAB Matrices Algorithm development Error analysis Optimization (mathematics) Chemical elements Evolutionary algorithms Radar Monte Carlo methods

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Prompt searches for optical signals from gravitational wave transient candidates with Pi of the Sky

Prompt searches for optical signals from gravitational wave ...

引用

Conference on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments

作者： Zadrozny, Adam Sokolowski, Marcin Opiela, Rafal Obara, Lukasz Natl Ctr Nucl Res Otwock Poland Curtin Univ Int Ctr Radio Astron Res Perth WA Australia ARC Ctr Excellence Allsky Astrophys CAASTRO Sydney NSW Australia Polish Acad Sci Ctr Theoret Phys Warsaw Poland Univ Warsaw Fac Phys Warsaw Poland

ISBN: (纸本)9780819497857

The aim of the paper is to show methods used by Pi of the Sky team to search for optical counterparts of GW event candidates during Looc-Up science run(1) and methods that we are planning to develop as part of the future Looc-Up. During the future joint GW-EM observations a new Pi of the Sky telescope unit could image more than 1/3 of GW candidate probability maps in less than 10 minutes, taking many pictures of the same observation field. The system could automatically recognize optical transients and perform follow-ups of interesting events.

关键词： Stars Cameras Telescopes detection and tracking algorithms Observatories Databases Satellites Charge-coupled devices Crystals Lanthanum

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Subdimensional Geo-Localization from Finite Set Statistics

Subdimensional Geo-Localization from Finite Set Statistics

引用

Conference on Geospatial InfoFusion III

作者： Boyle, Frank L-3 Communications Integrated Systems (United States)

ISBN: (纸本)9780819495389

In practical circumstances, a problem that often occurs is to geo-localize an entity from surface-level imagery given wide area overhead information and other a priori information that might be used to relate the two views. Given a finite set of GMTI returns and surface-level imagery of a common region of space, we propose a statistical algorithm for the association of surface-level one-dimensional measurements of the finite set to entities of the shared-dimensional wide area overview. Specifically, the problem of fused tracking without reliable range information from a surface-level view of a subset of entities is solved by the association of projections of 3-dimensional movement and position measurements of the GMTI and surface-level imagery. In this process the position of the surface level observer is refined. We expand this algorithm to a set of surface level observers distributed over the region of interest and propose a system of continuous tracking of entities over congested areas. The fusion search algorithm exploits the invariant metric properties of projection in a matched-filter procedure as well as the partial-ordering of local apparent depth of objects. We achieve O(N) convergence thereby making this algorithm practical for large-N searches. The algorithm is demonstrated analytically and by simulation.

关键词： Video detection and tracking algorithms Target detection Computer simulations Video surveillance Earth observing sensors Satellite imaging Satellites Situational awareness sensors Video compression

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Geometrical interpretation of the adaptive coherence estimator for hyperspectral target detection

Geometrical interpretation of the adaptive coherence estimat...

引用

Conference on algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX

作者： Bar, Shahar Bass, Ori Volfman, Alon Dallal, Tomer Rotman, Stanley R. Ben Gurion Univ Negev Dept Elec & Comp Eng IL-84105 Beer Sheva Israel

ISBN: (纸本)9780819495341

A hyperspectral cube consists of a set of images taken at numerous wavelengths. Hyperspectral image data analysis uses each material's distinctive patterns of reflection, absorption and emission of electromagnetic energy at specific wavelengths for classification or detection tasks. Because of the size of the hyperspectral cube, data reduction is definitely advantageous;when doing this, one wishes to maintain high performances with the least number of bands. Obviously in such a case, the choice of the bands will be critical. In this paper, we will consider one particular algorithm, the adaptive coherence estimator (ACE) for the detection of point targets. We give a quantitative interpretation of the dependence of the algorithm on the number and identity of the bands that have been chosen. Results on simulated data will be presented.

关键词： Target detection detection and tracking algorithms Hyperspectral target detection Mathematical modeling Hyperspectral imaging Absorption Algorithm development Data analysis Electromagnetism Image classification

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Analysis of detectability loss through fan-beam x-ray computed tomography reconstruction

Analysis of detectability loss through fan-beam x-ray comput...

引用

Image Perception, Observer Performance, and Technology Assessment Conference, part of the SPIE Medical Imaging Symposium

作者： Sanchez, Adrian A. Sidky, Emil Y. Pan, Xiaochuan Univ Chicago Dept Radiol Chicago IL 60637 USA

ISBN: (纸本)9780819494474

We consider detection of a small signal in fan-beam x-ray computed tomography (CT). In order to characterize the loss of intrinsic signal detectability from the projection data (sinogram) domain to the reconstructed image, we analyze the Hotelling observer SNR in each domain. Further, we characterize the loss of Hotelling observer SNR through decomposition into two components: loss of signal detectability which arises due to unequal variance in the noise of separate detector elements and loss of detectability arising from the fact that some noiseless signals have components which lie in the nullspace of a given reconstruction operator. The proposed methodology is investigated for the back-projection ltration (BPF) algorithm developed by our group [2].

关键词： Signal detection Reconstruction algorithms Sensors Signal attenuation Signal to noise ratio Data modeling detection and tracking algorithms CT reconstruction X-ray computed tomography Interference (communication)

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Hyperspectral Data Compression using a Wiener Filter Predictor

Hyperspectral Data Compression using a Wiener Filter Predict...

引用

Conference on Satellite Data Compression, Communications, and Processing IX

作者： Villeneuve, Pierre V. Beaven, Scott G. Stocker, Alan D. Space Comp Corp Los Angeles CA 90025 USA

ISBN: (纸本)9780819497215

The application of compression to hyperspectral image data is a significant technical challenge. A primary bottleneck in disseminating data products to the tactical user community is the limited communication bandwidth between the airborne sensor and the ground station receiver. This report summarizes the newly-developed "Z-Chrome" algorithm for lossless compression of hyperspectral image data. A Wiener filter prediction framework is used as a basis for modeling new image bands from already-encoded bands. The resulting residual errors are then compressed using available state-of-the-art lossless image compression functions. Compression performance is demonstrated using a large number of test data collected over a wide variety of scene content from six different airborne and spaceborne sensors

关键词： Image compression Data modeling Data compression Sensors Filtering (signal processing) detection and tracking algorithms Algorithm development Computer programming Hyperspectral imaging Image processing

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Patient-specific port placement for laparoscopic surgery using atlas-based registration

Patient-specific port placement for laparoscopic surgery usi...

引用

Conference on Medical Imaging - Image-Guided Procedures, Robotic Interventions, and Modeling

作者： Enquobahrie, Andinet Shivaprabhu, Vikas Aylward, Stephen Finet, Julien Cleary, Kevin Alterovitz, Ron Kitware Inc Clifton Pk NY 12065 USA Childrens Natl Med Ctr Washington DC 20010 USA Univ N Carolina Chapel Hill NC 27599 USA

ISBN: (纸本)9780819494450

Laparoscopic surgery is a minimally invasive surgical approach, in which abdominal surgical procedures are performed through trocars via small incisions. Patients benefit by reduced post-operative pain, shortened hospital stays, improved cosmetic results, and faster recovery times. Optimal port placement can improve surgeon dexterity and avoid the need to move the trocars, which would cause unnecessary trauma to the patient. We are building an intuitive open source visualization system to help surgeons identify ports. Our methodology is based on an intuitive port placement visualization module and atlas-based registration algorithm to transfer port locations to individual patients. The methodology follows three steps: 1) Use a port placement visualization module to manually place ports in an abdominal organ atlas. This step generates port-augmented abdominal atlas. This is done only once for a given patient population. 2) Register the atlas data with the patient CT data, to transfer the prescribed ports to the individual patient 3) Review and adjust the transferred port locations using the port placement visualization module. Tool maneuverability and target reachability can be tested using the visualization system. Our methodology would decrease the amount of physician input necessary to optimize port placement for each patient case. In a follow up work, we plan to use the transferred ports as starting point for further optimization of the port locations by formulating a cost function that will take into account factors such as tool dexterity and likelihood of collision between instruments.

关键词： Surgery Visualization Laparoscopy 3D modeling 3D acquisition Cameras Data modeling Image registration Medical imaging detection and tracking algorithms

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On detection and Visualization Techniques for Cyber Security Situation Awareness

On Detection and Visualization Techniques for Cyber Security...

引用

Conference on Sensors and Systems for Space Applications VI

作者： Yu, Wei Wei, Sixiao Shen, Dan Blowers, Misty Blasch, Erik P. Pham, Khanh D. Chen, Genshe Zhang, Hanlin Lu, Chao Towson Univ Comp & Informat Sci Dept Towson MD 21252 USA Intelligent Fus TechnolInc Germantown MD 20876 USA US Air Force Res Lab Griffiss AFB NY 13441 USA US Air Force Res Lab Kirtland AFB NM 87117 USA

ISBN: (纸本)9780819495303

Networking technologies are exponentially increasing to meet worldwide communication requirements. The rapid growth of network technologies and perversity of communications pose serious security issues. In this paper, we aim to developing an integrated network defense system with situation awareness capabilities to present the useful information for human analysts. In particular, we implement a prototypical system that includes both the distributed passive and active network sensors and traffic visualization features, such as 1D, 2D and 3D based network traffic displays. To effectively detect attacks, we also implement algorithms to transform real-world data of IP addresses into images and study the pattern of attacks and use both the discrete wavelet transform (DWT) based scheme and the statistical based scheme to detect attacks. Through an extensive simulation study, our data validate the effectiveness of our implemented defense system.

关键词： Visualization Discrete wavelet transforms Defense systems Active sensors Sensors detection and tracking algorithms Databases Sensor networks 3D displays Computer security

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Generalized Linear Correlation Filters

Generalized Linear Correlation Filters

引用

Conference on Automatic Target Recognition XXIII

作者： Rodriguez, Andres Kumar, B. V. K. Vijaya Air Force Res Lab Sensors Directorate Dayton OH USA

ISBN: (纸本)9780819495358

We present two generalized linear correlation filters (CFs) that encompass most of the state-of-the-art linear CFs. The common criteria that are used in linear CF design are the mean squared error (MSE), output noise variance (ONV), and average similarity measure (ASM). We present a simple formulation that uses an optimal tradeoff among these criteria both constraining and not constraining the correlation peak value, and refer to them as generalized Constrained Correlation Filter (CCF) and Unconstrained Correlation Filter (UCF). We show that most state-of-the-art linear CFs are subsets of these filters. We present a technique for efficient UCF computation. We also introduce the modified CCF (mCCF) that chooses a unique correlation peak value for each training image, and show that mCCF usually outperforms both UCF and CCF.*

关键词： Californium Image filtering Neodymium Automatic target recognition Linear filtering detection and tracking algorithms Osmium Matrices Analytical research Video

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