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

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Challenging Ocular Image Recognition

Challenging Ocular Image Recognition

引用

Conference on Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring and Biometric Technology for Human Identification VIII

作者： Pauca, V. Paul Forkin, Michael Xu, Xiao Plemmons, Robert Ross, Arun Wake Forest Univ Dept Comp Sci Winston Salem NC 27109 USA Wake Forest Univ Dept Math Winston Salem NC 27109 USA West Virginia Univ Dept Comp Sci & Elect Engn Morgantown WV 26506 USA

ISBN: (纸本)9780819486035

Ocular recognition is a new area of biometric investigation targeted at overcoming the limitations of iris recognition performance in the presence of non-ideal data. There are several advantages for increasing the area beyond the iris, yet there are also key issues that must be addressed such as size of the ocular region, factors affecting performance, and appropriate corpora to study these factors in isolation. In this paper, we explore and identify some of these issues with the goal of better defining parameters for ocular recognition. An empirical study is performed where iris recognition methods are contrasted with texture and point operators on existing iris and face datasets. The experimental results show a dramatic recognition performance gain when additional features are considered in the presence of poor quality iris data, offering strong evidence for extending interest beyond the iris. The experiments also highlight the need for the direct collection of additional ocular imagery.

关键词： Iris recognition Image segmentation Databases Biometrics detection and tracking algorithms Image quality Image resolution Video Eye RGB color model

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Adaptive removal of background and white space from document images using seam categorization

Adaptive removal of background and white space from document...

引用

Conference on Imaging and Printing in a Web 2.0 World II

作者： Fillion, Claude Fan, Zhigang Monga, Vishal Xerox Corp Xerox Res Ctr Webster Webster NY 14580 USA Penn State Univ University Pk PA 16802 USA

ISBN: (纸本)9780819484161

Document images are obtained regularly by rasterization of document content and as scans of printed documents. Resizing via background and white space removal is often desired for better consumption of these images, whether on displays or in print. While white space and background are easy to identify in images, existing methods such as naive removal and content aware resizing (seam carving) each have limitations that can lead to undesirable artifacts, such as uneven spacing between lines of text or poor arrangement of content. An adaptive method based on image content is hence needed. In this paper we propose an adaptive method to intelligently remove white space and background content from document images. Document images are different from pictorial images in structure. They typically contain objects (text letters, pictures and graphics) separated by uniform background, which include both white paper space and other uniform color background. Pixels in uniform background regions are excellent candidates for deletion if resizing is required, as they introduce less change in document content and style, compared with deletion of object pixels. We propose a background deletion method that exploits both local and global context. The method aims to retain the document structural information and image quality.

关键词： Image quality detection and tracking algorithms Visualization Printing Current controlled current source Electrical engineering Electronic imaging Fluctuations and noise Image quality standards Web 2.0 technologies

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Bayesian unified registration and tracking

Bayesian unified registration and tracking

引用

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

作者： Mahler, Ronald El-Fallah, Adel Unified Data Fusion Sciences Inc. (United States) Scientific Systems Co. Inc. (United States)

ISBN: (纸本)9780819486240

Multitarget detection and tracking algorithms typically presume that sensors are spatially registered-i.e., that all sensor states are precisely specified with respect to some common coordinate system. In actuality, sensor observations may be contaminated by unknown spatial misregistration biases. This paper demonstrates that these biases can be estimated by exploiting the data collected from a sufficiently large number of unknown targets, in a unified methodology in which sensor registration and multitarget tracking are performed jointly in a fully unified fashion. We show how to (1) model single-sensor bias, (2) integrate the biased sensors into a single probabilistic multiplatform-multisensor-multitarget system, (3) construct the optimal solution to the joint registration/tracking problem, and (4) devise a principled computational approximation of this optimal solution. The approach does not presume the availability of GPS or other inertial information.

关键词： Sensors detection and tracking algorithms Motion models Cameras Electronic filtering Global Positioning System Nonlinear filtering Computing systems Missiles Particles

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Polarization-Sensitive Digital Dermoscopy For Image Processing-Assisted Evaluation Of Atypical Nevi: Towards Step-Wise detection Of Melanoma

Polarization-Sensitive Digital Dermoscopy For Image Processi...

引用

Conference on Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX

作者： Yu, Lauren S. Joseph, Anika O. N. R. Lindsley, Erik H. Farkas, Daniel L. Windward Sch Los Angeles CA USA Univ Southern Calif Dept Biomed Sci Los Angeles CA USA Spectral Mol Imaging Beverly Hills CA USA

ISBN: (纸本)9780819484390

We have taken a three-pronged approach to improving the current standard of melanoma detection: (a) we are developing a new hyperspectral imaging-based medical device aimed at non-invasively detecting melanoma (b) we used a commercially available hand-held microscope with polarization control as a dermoscope, to begin establishing an inexpensive, portable imaging capability that could help assess the risk of a particular lesion (pigmented nevus) harboring melanoma (c) we created an updated ABCD algorithm and user interface software that more accurately generates a single risk number (Total Dermoscopy Score), for allowing a trained clinician to better assess the need for seeing the patient whose internet-uploaded nevus images they are evaluating. The hyperspectral instrument (a) is discussed elsewhere, and we focus here on (b) and (c), in the hope of increasing melanoma awareness and early detection.

关键词： Melanoma Image processing Image analysis Digital image processing Fractal analysis detection and tracking algorithms Skin Algorithm development Hyperspectral imaging Medical imaging

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A Distributed Multi-Channel Demand-Adaptive P2P VoD System with Optimized Caching and Neighbor-Selection

A Distributed Multi-Channel Demand-Adaptive P2P VoD System w...

引用

Conference on Applications of Digital Image Processing XXXIV

作者： Zhang, Hao Chen, Minghua Parekh, Abhay Ramchandran, Kannan Univ Calif Berkeley Dept EECS Berkeley CA 94720 USA Chinese Univ Hong Kong Dept Informat Engn Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9780819487452

We design a distributed multi-channel P2P Video-on-Demand (VoD) system using "plug-and-play" helpers. Helpers are heterogenous "micro-servers" with limited storage, bandwidth and number of users they can serve simultaneously. Our proposed system has the following salient features: (1) it jointly optimizes over helper-user connection topology, video storage distribution and transmission bandwidth allocation;(2) it minimizes server load, and is adaptable to varying supply and demand patterns across multiple video channels irrespective of video popularity;and (3) it is fully distributed and requires little or no maintenance overhead. The combinatorial nature of the problem and the system demand for distributed algorithms makes the problem uniquely challenging. By utilizing Lagrangian decomposition and Markov chain approximation based arguments, we address this challenge by designing two distributed algorithms running in tandem: a primal-dual storage and bandwidth allocation algorithm and a "soft-worst-neighbor-choking" topology-building algorithm. Our scheme provably converges to a near-optimal solution, and is easy to implement in practice. Packet-level simulation results show that the proposed scheme achieves minimum sever load under highly heterogeneous combinations of supply and demand patterns, and is robust to system dynamics of user/helper churn, user/helper asynchrony, and random delays in the network.

关键词： Video Computer simulations Clocks algorithms detection and tracking algorithms Distributed computing Internet Switches Switching Lithium

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How Carefully Designed Open Resource Sharing Can Help and Expand Document Analysis Research

How Carefully Designed Open Resource Sharing Can Help and Ex...

引用

Conference on Document Recognition and Retrieval XVIII

作者： Lamiroy, Bart Lopresti, Daniel Korth, Hank Heflin, Jeff Nancy Univ LORIA Campus SciBP 239 F-54506 Vandoeuvre Les Nancy France Lehigh Univ Dept Comp Sci & Engn Bethlehem PA 18015 USA

ISBN: (纸本)9780819484116

Making datasets available for peer reviewing of published document analysis methods or distributing large commonly used document corpora for benchmarking are extremely useful and sound practices and initiatives. This paper show that they cover only a very tiny segment of the uses shared and commonly available research data may have. We develop a completely new paradigm for sharing and accessing common data sets, benchmarks and other tools that is based on a very open and free community based contribution model. The model is operational and has been implemented so that it can be tested on a broad scale. The new interactions that will arise from its use may spark innovative ways of conducting document analysis research on the one hand, but create very challenging interactions with other research domains as well.

关键词： Analytical research Data modeling Performance modeling Current controlled current source detection and tracking algorithms Electronic imaging

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A Comparative Evaluation of Anomaly detection algorithms for Maritime Video Surveillance

A Comparative Evaluation of Anomaly Detection Algorithms for...

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Conference on Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense X

作者： Auslander, Bryan Gupta, Kalyan Moy Aha, David W. Knexus Res Corp Springfield VA 22153 USA Navy Ctr Appl Res Artificial Intelligence Naval Res Lab Washington DC 20375 USA

ISBN: (纸本)9780819485939

A variety of anomaly detection algorithms have been applied to surveillance tasks for detecting threats with some success. However, it is not clear which anomaly detection algorithms should be used for domains such as ground-based maritime video surveillance. For example, recently introduced algorithms that use local density techniques have performed well for some tasks, but they have not been applied to ground-based maritime video surveillance. Also, the reasons for the performance differences of anomaly detection algorithms on problems of varying difficulty are not well understood. We address these two issues by comparing families of global and local anomaly detection algorithms on tracks extracted from ground-based maritime surveillance videos. Obtaining maritime anomaly data can be difficult or even impractical. Therefore, we use a generative approach to vary and control the difficulty of anomaly detection tasks and to focus on borderline and difficult situations in our empirical comparison studies. We report that global algorithms outperform local algorithms when tracks have large and unstructured variations, while they perform equally well when the tracks have only minor variations.

关键词： detection and tracking algorithms Expectation maximization algorithms Video surveillance Video Surveillance Computer simulations Evolutionary algorithms Analytical research Maritime surveillance Sensors

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NON-INTRUSIVE HUMAN FATIGUE MONITORING IN COMMAND CENTERS

NON-INTRUSIVE HUMAN FATIGUE MONITORING IN COMMAND CENTERS

引用

Conference on Optical Pattern Recognition XXII

作者： Alsamman, A. Ratecki, T. Univ New Orleans Dept Elect Engn New Orleans LA 70148 USA

ISBN: (纸本)9780819486295

An inexpensive, non-intrusive, vision-based, active fatigue monitoring system is presented. The system employs a single consumer webcam that is modified to operate in the near-IR range. An active IR LED system is developed to facilitate the quick localization of the eye pupils. Imaging software tracks the eye features by analyzing intensity areas and their changes in the vicinity of localization. To quantify the level of fatigue the algorithm measures the opening of the eyelid, PERCLOS. The software developed runs on the workstation and is designed to draw limited computational power, so as to not interfere with the user task. To overcome low-frame rate and improve real-time monitoring, a two-phase detection and tacking algorithm is implemented. The results presented show that the system successfully monitors the level of fatigue at a low rate of 8 fps. The system is well suited to monitor users in command centers, flight control centers, airport traffic dispatchers, military operation and command centers, etc., but the work can be extended to wearable devices and other environments.

关键词： Eye Fiber optic illuminators Cameras Optical filters Infrared imaging Light emitting diodes Visualization detection and tracking algorithms Imaging systems Software development

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GPGPU Based Real-time Conditional Dilation for Adaptive Thresholding for Target detection

GPGPU Based Real-time Conditional Dilation for Adaptive Thre...

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

作者： Morgenstern, Jim Zell, Bradley Vision4ce LLC Severna Pk MD USA

ISBN: (纸本)9780819486226

A significant topic in many image processing systems is the derivation of a threshold to actuate the automated analysis of outputs from spectral filters and/or anomaly filters, the detection of targets and/or classes of objects which are different than the local background clutter. There are cases where the signals of interest have contrast locally against their immediate surroundings but the application of a global threshold over the entire image produces poor results with missed detections and numerous false alarms. In such cases an adaptive or local threshold operator offers a more robust solution. One local threshold function is the conditional dilation which produces a reference image via a series of dilations which are conditioned on not exceeding the signal levels in the original image. In the limit this reference image becomes a threshold surface where only areas or objects exhibiting contrast locally remain after application of the threshold. algorithms have been introduced which enable use of conditional dilation in realtime systems by reducing the unbounded series of dilations to a small, fixed number of operations. In the present work we present an adaptation of this algorithm to both single CPU systems and also to systems which incorporate a GPGPU device which enables a highly parallel version of the algorithm subject to the unique architecture constraints of the GPGPU. Execution timings for comparison are introduced: The GPGPU offers somewhat better performance than the single CPU system despite the GPGPU architecture not being suitable for implementation of a neighborhood process.

关键词： Image processing Target detection Optical filters detection and tracking algorithms Data processing Hyperspectral target detection Image analysis Sensors Image compression Parallel computing

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Fiber-MOPA based multi-kW uplink laser beacons for deep-space communication links

Fiber-MOPA based multi-kW uplink laser beacons for deep-spac...

引用

Conference on Free-Space Laser Communication Technologies XXIII

作者： Engin, Doruk Lu, Wei Kimpel, Frank Chen, Youming Akbulut, Mehmetcan Gupta, Shantanu Fibertek Inc Herndon VA 20171 USA

ISBN: (纸本)9780819484604

KW level fiber based MOPA laser system at 1064nm for uplink deep space communication is developed and characterized. System achieves 11.5 kW peak power (600W average power) at 500 kHz (5% duty cycle) with >70% optical conversion efficiency. Experiments using 16-ary PPM format are presented where without pre-pulse shaping >+/- 60% pulse energy variation is observed. Gain dynamics is identified as main source of pulse to pulse energy fluctuation. Novel, FPGA implementable open loop pulse shaping algorithm is developed and demonstrated. Resulting pulse energy statistics are reported, where <+/- 7% pulse energy variation is achieved for 90% of pulses.

关键词： Bragg cells Fiber lasers Telecommunications Algorithm development detection and tracking algorithms Field programmable gate arrays Pulse shaping Modulation Laser systems engineering Modulators

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