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

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IMAGING WITH ARRAY DETECTORS USING CHOPPING AND OTHER FORMS OF DIFFERENTIAL detection 8

IMAGING WITH ARRAY DETECTORS USING CHOPPING AND OTHER FORMS ...

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8th SPIE Conference on Instrumentation in Astronomy

作者： BECKERS, JM NATL OPT ASTRON OBSERV NATL SOLAR OBSERVTUCSONAZ 85726

ISBN: (纸本)081941493X

To detect faint signals in the presence of a high background, differential techniques are often used. In IR astronomy this has led to the so-called chopping and nodding techniques. The introduction of array detectors especially for imaging in the thermal IR region of the astronomical spectrum requires an adaptations of these techniques which also takes into account the pixel nonuniformity of the array detector. I describe one possible imaging algorithm and the associated requirements for the chopping mechanisms of an 8-m telescope.

关键词： Sensors Telescopes Signal detection Signal to noise ratio Imaging arrays Astronomy detection and tracking algorithms Image sensors Detector arrays Infrared astronomy

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Enclosing shape boundaries using properties of contour.

Enclosing shape boundaries using properties of contour.

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Conference on Vision Systems - New Image Processing Techniques

作者： Preston, A Forte, P KINGSTON UNIV SCH COMP SCI & ELECTR SYSTKINGSTON THAMES KT1 2EESURREYENGLAND

ISBN: (纸本)0819421715

A complex problem in computer vision systems is the incorrect description of objects due to dropouts along their contour. These dropouts can be caused by three factors: noise, or contrast problems; occluding shapes; perceived contour. A widely used shape representation technique is to represent the contour of an image as a sequence of parametric splines. In this paper we present one such technique, parametric spiral arcs, and argue that it displays properties desirable for vision systems and in particular, the spline-based contour representation aids contour completion. We present an algorithm which analyzes the dropout due to noise or occlusion and suggests likely connections, using information contained in the contour of a shape, and using perceptive properties of contour.

关键词： Computing systems Machine vision Computer vision technology detection and tracking algorithms Sensors Algorithm development Image processing Process modeling Shape analysis Computer science

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A comparative study and analysis between vertex component analysis and orthogonal subspace projection for endmember extraction

A comparative study and analysis between vertex component an...

引用

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

作者： Wu, Chao-Cheng Liu, Weimin Ren, Hsuan Chang, Chein-I. Univ Maryland Baltimore Cty Dept Comp Sci & Elect Engn Remote Sensing Signal & Image Proc Lab Baltimore MD 21250 USA Natl Cent Univ Ctr space & Remote sensing Res Chungli Taiwan

ISBN: (纸本)9780819466877

Endmember extraction has received considerable interest in recent years. Of particular interest is the Pixel Purity Index (PPI) because of its publicity and availability in ENVI software. There are also many variants of the PPI have been developed. Among them is an interesting endmember extraction algorithm (EEA), called vertex component analysis (VCA) developed by Dias and Nascimento who extend the PPI to a simplex-based EEA while using orthogonal subspace projection (OSP) as a projection criterion rather than simplex volume used by another well-known EEA, N-finder algorithm (N-FINDR) developed by Winter. Interestingly, this paper will show that the VCA is essentially the same algorithm, referred to as Automatic Target Generation Process (ATGP) recently developed for automatic target detection and classification by Ren and Chang except the use of the initial condition to initialize the algorithm. In order to substantiate our findings, experiments using synthetic and real images are conducted for a comparative study and analysis.

关键词： Algorithm development Minerals detection and tracking algorithms Principal component analysis Independent component analysis Target detection Signal to noise ratio Calcite Reflectivity Remote sensing

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Predictable turn-around time for Post Tape-Out Flow

Predictable turn-around time for Post Tape-Out Flow

引用

Conference on Optical Microlithography XXV

作者： Endo, Toshi Park, Minyoung Ghosh, Pradiptya Mentor Graph Corp Fremont CA 94538 USA

ISBN: (纸本)9780819489821

A typical post-out flow data path at the IC Fabrication has following major components of software based processing - Boolean operations before the application of resolution enhancement techniques (RET) and optical proximity correctin (OPC), the RET and OPC step [etch retargeting, sub-resolution assist feature insertion (SRAF) and OPC], post-OPCRET Boolean operations and sometimes in the same flow simulation based verification. There are two objectives that an IC Fabrication tapeout flow manager wants to achieve with the flow - predictable completion time and fastest turn-around time (TAT). At times they may be competing. There have been studies in the literature modeling the turn-around time from historical data for runs with the same recipe and later using that to derive the resource allocation for subsequent runs. [3]. This approach is more feasible in predominantly simulation dominated tools but for edge operation dominated flow it may not be possible especially if some processing acceleration methods like pattern matching or hierarchical processing is involved. In this paper, we suggest an alternative method of providing target turnaround time and managing the priority of jobs while not doing any upfront resource modeling and resource planning. The methodology then systematically either meets the turnaround time need and potentially lets the user know if it will not as soon as possible. This builds on top of the Calibre Cluster Management (CalCM) resource management work previously published [1][2]. The paper describes the initial demonstration of the concept.

关键词： Data processing Computer simulations Data modeling Optical proximity correction Resolution enhancement technologies Control systems detection and tracking algorithms Photomasks SRAF Computing systems

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VERSATILE ARCHITECTURE FOR IMAGE RECOGNITION APPLICATIONS

VERSATILE ARCHITECTURE FOR IMAGE RECOGNITION APPLICATIONS

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CONF ON MACHINE VISION ARCHITECTURES, INTEGRATION, AND APPLICATIONS

作者： SACRAMONE, A SCOLA, J SHAZEER, D Charles Stark Draper Lab. Inc. (United States)

ISBN: (纸本)0819407526

Architectures for the development of image recognition algorithms must support the implementation of systematic procedures for solving image recognition problems. All too often, designers develop image recognition architectures in an ad hoc fashion which lacks the structure to meet long term needs. Vendors typically supply customers with standard image processing libraries and display tools. Combining these tools and formulating development strategies have remained stumbling blocks in the design of complete image recognition algorithm development environments. In this paper, an architecture is presented which provides a well defined framework, and at the same time is sufficiently flexible to accommodate images of multiple sensor and data types. The primary components of the architecture are: ground-truthing, preprocessing (which includes image processing and segmentation), feature extraction, classification, and performance analysis. Powerful and well defined data structures are exploited for each of the primary components. Groups of programs called tasks manipulate one or more of these data structures, each task belonging to one of the primary components. Multiple tasks can be executed in an unsupervised mode over an entire database of images. Results are then subjected to performance analysis and feedback. A description of the primary components and how they are integrated to facilitate the rapid prototyping and development of image recognition algorithms is presented.

关键词： Algorithm development detection and tracking algorithms Image processing Image sensors Databases Feature extraction Image classification Image segmentation Rapid manufacturing Sensors

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Time-Lapse microscopy and image processing for stem cell research modeling cell migration

Time-Lapse microscopy and image processing for stem cell res...

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Medical Imaging 2003 Conference

作者： Gustavsson, T Althoff, K Degerman, J Olsson, T Thoreson, AC Thorlin, T Eriksson, P Chalmers Univ Technol Dept Signals & Syst S-41296 Gothenburg Sweden

ISBN: (纸本)0819448338

This paper presents hardware and software procedures for automated cell tracking and migration modeling. A timelapse microscopy system equipped with a computer controllable motorized stage was developed. The performance of this stage was improved by incorporating software algorithms for stage motion displacement compensation and auto focus. The microscope is suitable for in-vitro stem cell studies and allows for multiple cell culture image sequence acquisition. This enables comparative studies concerning rate of cell splits, average cell motion velocity, cell motion as a function of cell sample density and many more. Several cell segmentation procedures are described as well as a cell tracking algorithm. Statistical methods for describing cell migration patterns are presented. In particular, the Hidden Markov Model (HMM) was investigated. Results indicate that if the cell motion can be described as a non-stationary stochastic process, then the HMM can adequately model aspects of its dynamic behavior.

关键词： Motion models detection and tracking algorithms Image segmentation Data modeling Stem cells Image processing algorithms and systems Statistical modeling Time lapse microscopy Statistical analysis Filtering (signal processing)

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Efficient Exchange of Information in a Distributed tracking Environment

Efficient Exchange of Information in a Distributed Tracking ...

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

作者： Shea, Peter J. Blake, Eric Black River Syst Co Lakeville MN 55044 USA

ISBN: (纸本)9780819486240

Modern tracking and fusion settings involve multiple platforms in different locations, tracking different target tracks, focusing on different regions of interest, while using different update rates and sensor resolutions with the goal of providing increased situation awareness in the region by fusing together the diversity of information from each platform. In this paper, a decentralized, distributed fusion architecture is presented along with results and trade studies comparing performance to that of a centralized fusion architecture. The decentralized distributed architecture is designed to work with legacy tracking systems and uses an efficient message passing scheme to share information and coordinate tracks across a diverse group of platforms. This system does not rely on a central node and allows for track information to be maintained at the local level while utilizing track information from other platforms to increase situation awareness. We compare the performance between our distributed approach and a centralized system using simulated airborne sensors operating in overlapping regions of interest with target densities and routes chosen to demonstrate tradeoffs between the different architectures. Preliminary results show that the decentralized distributed system provides similar performance to the centralized fusion system in terms of situation awareness relative to traditional tracking metrics, but at the cost of using an increased communication bandwidth to provide frequent updates to neighboring platforms. Results demonstrate the tradeoff between flexibility and optimality - configuration of the distributed decentralized system to provide increased flexibility and robustness comes at the cost of reduced situation awareness as compared to the centralized system.

关键词： Sensors Data transmission Computer architecture detection and tracking algorithms Distributed computing Surveillance Target detection Computer simulations Telecommunications Network architectures

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OPTICAL-FEATURE EXTRACTION USING THE RADON-TRANSFORM AND ANGULAR-CORRELATION 4

OPTICAL-FEATURE EXTRACTION USING THE RADON-TRANSFORM AND ANG...

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CONF ON OPTICAL INFORMATION PROCESSING SYSTEMS AND ARCHITECTURE 4

作者： SHUKLA, OB BOONE, BG Johns Hopkins Univ. (United States)

ISBN: (纸本)0819409456

This paper describes two processing algorithms that can be implemented optically: the Radon transform and angular correlation. These two algorithms can be combined in one optical processor to extract all the basic geometric and amplitude features from objects embedded in video imagery. We show that the internal amplitude structure of objects is recovered by the Radon transform, which is a well-known result, but, in addition, we show simulation results that calculate angular correlation, a simple but unique algorithm, which extracts object length, width, area, aspect ratio, orientation and boundary from suitably thresholded images. In addition to being insensitive to scale and rotation, these simulations indicate that the features derived from angular correlation algorithm are relatively insensitive to tracking shifts and image noise. Some optical architecture concepts, including one based on micro-optical lenslet arrays, have been developed to implement these algorithms. We will discussed these architectures, stressing the micro-optical approach. Test and evaluation using simple synthetic object data will be described. We will also describe the results of a study that uses object boundary (derivable from angular correlation) to classify objects using a neural network.

关键词： Video Hough transforms Optical correlators Radon transform Neural networks detection and tracking algorithms Sensors Matrices Detector arrays Radon

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Robust registration of sparsely sectioned histology to ex-vivo MRI of temporal lobe resections

Robust registration of sparsely sectioned histology to ex-vi...

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Conference on Medical Imaging - Image Processing

作者： Goubran, Maged Khan, Ali R. Crukley, Cathie Buchanan, Susan Santyr, Brendan deRibaupierre, Sandrine Peters, Terence M. Univ Western Ontario Robarts Res Inst Imaging Res Labs London ON Canada Univ Western Ontario Dept Clin Neurol Sci London ON Canada Univ Western Ontario Dept Biomed Engn London ON Canada

ISBN: (纸本)9780819489630

Surgical resection of epileptic foci is a typical treatment for drug-resistant epilepsy, however, accurate pre-operative localization is challenging and often requires invasive sub-dural or intra-cranial electrode placement. The presence of cellular abnormalities in the resected tissue can be used to validate the effectiveness of multispectral Magnetic Resonance Imaging (MRI) in pre-operative foci localization and surgical planning. If successful, these techniques can lead to improved surgical outcomes and less invasive procedures. Towards this goal, a novel pipeline is presented here for post-operative imaging of temporal lobe specimens involving MRI and digital histology, and present and evaluate methods for bringing these images into spatial correspondence. The sparsely-sectioned histology images of resected tissue represents a challenge for 3D reconstruction which we address with a combined 3D and 2D rigid registration algorithm that alternates between slice-based and volume-based registration with the ex-vivo MRI. We also evaluate four methods for non-rigid within-plane registration using both images and fiducials, with the top performing method resulting in a target registration error of 0.87 mm. This work allows for the spatially-local comparison of histology with post-operative MRI and paves the way for eventual registration with pre-operative MRI images.

关键词： Magnetic resonance imaging Image registration Tissues Image processing detection and tracking algorithms Epilepsy 3D image processing 3D modeling Surgery Reconstruction algorithms

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Challenges in Object detection in Above-Water Imagery 28

Challenges in Object Detection in Above-Water Imagery

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Conference on Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII

作者： Babbitt, Sarah Gatsak, Tanya Balaji, Bhashyam Def R&D Canada 3701 Carling Ave Ottawa ON Canada Univ Waterloo Dept Chem 200 Univ Ave W Waterloo ON Canada

ISBN: (纸本)9781510627024

Many existing methods of object detection, including edge detection, blob detection, and background subtraction (implemented in libraries such as OpenCV) have proven to be enormously successful when applied to many types of video datasets. However, detecting objects over water presents challenges that are unique and not easily accommodated for by pre-existing algorithms available in popular image processing libraries. In this paper, existing approaches are briefly reviewed, and the challenges encountered in above-water video datasets are highlighted. A recently proposed approach to object detection in radar images - a novel, pixel-intensity statistic based thresholding approach - is then reviewed. In this paper, this approach has been successfully applied to EO/IR datasets as well, extending the implementation to ensure success when applied onto other types of image datasets.

关键词： Video detection and tracking algorithms Blob detection Sensors Image processing Infrared imaging Edge detection Video processing Cameras

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