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

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Fast and efficient iris image enhancement using logarithmic image processing

Fast and efficient iris image enhancement using logarithmic ...

引用

Conference on Biometric Technology for Human Identification VII

作者： Sazonova, Nadezhda Schuckers, Stephanie Clarkson Univ Dept Elect & Comp Engn Potsdam NY 13676 USA

ISBN: (纸本)9780819481313

Low quality iris images such as blurry, low resolution images with poor illumination create a challenge for iris recognition systems. Therefore, an efficient enhancement of iris images are needed in challenging environments. We propose a new iris recognition algorithm for enhancement of normalized iris images. Our algorithm is based on the logarithmic image processing (LIP) image enhancement which is used as one of the 3 stages in the enhancement process. Methods are tested on the MBGC database to compare enrolled video iris images from 124 subjects with 220 pixels resolutions to query video portal images from 110 subjects with 120 pixels resolution. Results from processing challenging MBGC iris data show significant improvement in the performance of iris recognition algorithms in terms of equal error rates compared to the original (unenhanced images) and the other fast image enhancement methods.

关键词： Image enhancement Iris recognition Laser induced plasma spectroscopy Video detection and tracking algorithms Image processing Near infrared Image quality Image segmentation Image resolution

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Wide Area Active Collaborative tracking of Waterborne Vessels

Wide Area Active Collaborative Tracking of Waterborne Vessel...

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Conference on Sensors, and Command, Control, Communications, and Intelligence (C31) Technologies for Homeland Security and Homeland Defense IX

作者： Tamrakar, Amir Jung, Sang-Hack Broaddus, Christopher Divakaran, Ajay Sawhney, Harpreet Sarnoff Corp Princeton NJ 08543 USA

ISBN: (纸本)9780819481306

We describe a real-time wide area surveillance system (WA-ACTV) for the automatic tracking of vessels using a network of PTZ cameras. The system is capable of optimally managing hundreds of PTZ cameras to simultaneously track a large numbers of vessels. The tracked vessels are fingerprinted using a scale-invariant part-based representation and subsequently used for reacquiring the tracks when the vessel comes back into view on a different sensor thus allowing the system to extend the tracking range over the wide area of surveillance. We have realized a small-scale version of the system and demonstrated it in an inland waterway as well as a small section of a sea port. The system operates in real-time at a frame rate of 15 Hz and is easily scalable to hundreds of PTZ cameras. The fingerprint-based reacquisition of targets has been evaluated to have a accuracy of 91%.

关键词： Cameras Sensors Imaging systems Scanning tunneling microscopy Target detection Automatic tracking Computer programming detection and tracking algorithms Databases Visibility

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Cyto•IQ: An adaptive cytometer for extracting the noisy dynamics of molecular interactions in live cells

Cyto•IQ: An adaptive cytometer for extracting the noisy dyn...

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

作者： Ball, David A. Moody, Stephen E. Peccoud, Jean Virginia Polytech Inst & State Univ Virginia Bioinformat Inst Blacksburg VA 24060 USA Orca Photon Syst Inc Redmond WA 98052 USA

ISBN: (纸本)9780819479648

We have developed a fundamentally new type of cytometer to track the statistics of dynamic molecular interactions in hundreds of individual live cells within a single experiment. This entirely new high-throughput experimental system, which we have named Cyto center dot IQ, reports statistical, rather than image-based data for a large cellular population. Like a flow cytometer, Cyto center dot IQ rapidly measures several fluorescent probes in a large population of cells to yield a reduced statistical model that is matched to the experimental goals set by the user. However, Cyto center dot IQ moves beyond flow cytometry by tracking multiple probes in individual cells over time. Using adaptive learning algorithms, we process data in real time to maximize the convergence of the statistical model parameter estimators. Software controlling Cyto center dot IQ integrates existing open source applications to interface hardware components, process images, and adapt the data acquisition strategy based on previously acquired data. These innovations allow the study of larger populations of cells, and molecular interactions with more complex dynamics, than is possible with traditional microscope-based approaches. Cyto center dot IQ supports research to characterize the noisy dynamics of molecular interactions controlling biological processes.

关键词： Luminescence Data acquisition Statistical analysis Data modeling Fluorescent proteins Image segmentation Molecular interactions Cameras Yeast detection and tracking algorithms

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Resampling Method for Balancing Training Data in Video Analysis

Resampling Method for Balancing Training Data in Video Analy...

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Conference on Medical Imaging 2010 - Computer-Aided Diagnosis

作者： Giritharan, Balathasan Yuan, Xiaohui Univ N Texas Dept Comp Sci & Engn Denton TX 76203 USA

ISBN: (纸本)9780819480255

Reviewing videos from medical procedures is a tedious work that requires concentration for extended hours and usually screens thousands of frames to find only a few positive cases that indicate probable presence of disease. Computational classification algorithms are sought to automate the reviewing process. The class imbalance problem becomes challenging when the learning process is driven by relative few minority class samples. The learning algorithms using imbalanced data sets generally result in large number of false negatives. In this article, we present an efficient rebalancing method for finding video frames that contain bleeding lesions. The majority class generally has clusters of data within them. Here we cluster the majority class and under-sample the each cluster based on its variance so that useful examples would not be lost during the under-sampling process. The balance of bleeding to non-bleeding frames is restored by the proposed cluster-based under-sampling and over-sampling using Synthetic Minority Over-sampling Technique (SMOTE). Experiments were conducted using synthetic data and videos manually annotated by medical specialists for obscure bleeding detection. Our method achieved a high average sensitivity and specificity.

关键词： Video Video surveillance detection and tracking algorithms Endoscopy Machine learning Medical diagnostics Medical research Nickel RGB color model Statistical analysis

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Fast algorithms for computing image local statistics in windows of arbitrary shape and weights

Fast algorithms for computing image local statistics in wind...

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Conference on Real-Time Image and Video Processing 2010

作者： Bilevich, Leonid Yaroslavsky, Leonid Tel Aviv Univ Fac Engn Dept Phys Elect IL-69978 Tel Aviv Israel

ISBN: (纸本)9780819481979

Computing image local statistics is required in many image processing applications such as local adaptive image restoration, enhancement, segmentation, target location and tracking, to name a few. These computations must be carried out in sliding window of a certain shape and weights. Generally, it is a time consuming operation with per-pixel computational complexity of the order of the window size, which hampers real-time applications. For acceleration of computations, recursive computational algorithms are used. However, such algorithms are available only for windows of certain specific forms, such as rectangle and octagon, with uniform weights. We present a general framework of fast parallel and recursive computation of image local statistics in sliding window of almost arbitrary shape and weights with "per-pixel" computational complexity that is substantially of lower order than the window size. As an illustration of this framework, we describe methods for computing image local moments such as local mean and variance, image local histograms and local order statistics (in particular, minimum, maximum, median), image local ranks, image local DFT, DCT, DcST spectra in polygon-shaped windows as well as in windows with non-uniform weights, such as Sine lobe, Hann, Hamming and Blackman windows.

关键词： Diamond Digital filtering Image processing Composites Image enhancement Digital image processing Image segmentation detection and tracking algorithms Image compression Image restoration

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IDC - A System for Automatically Detecting and Classifying Manmade Objects in Overhead Imagery

IDC - A System for Automatically Detecting and Classifying M...

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

作者： Carlotto, Mark Nebrich, Mark De Michael, David General Dynamics Advanced Information Systems (United States)

ISBN: (纸本)9780819481610

The automatic detection and classification of manmade objects in overhead imagery is key to generating geospatial intelligence (GEOINT) from today's high space-time bandwidth sensors in a timely manner. A flexible multi-stage object detection and classification capability known as the IMINT Data Conditioner (IDC) has been developed that can exploit different kinds of imagery using a mission-specific processing chain. A front-end data reader/tiler converts standard imagery products into a set of tiles for processing, which facilitates parallel processing on multiprocessor/multithreaded systems. The first stage of processing contains a suite of object detectors designed to exploit different sensor modalities that locate and chip out candidate object regions. The second processing stage segments object regions, estimates their length, width, and pose, and determines their geographic location. The third stage classifies detections into one of K predetermined object classes (specified in a models file) plus clutter. detections are scored based on their salience, size/shape, and spatial-spectral properties. detection reports can be output in a number of popular formats including flat files, HTML web pages, and KML files for display in Google Maps or Google Earth. Several examples illustrating the operation and performance of the IDC on Quickbird, GeoEye, and DCS SAR imagery are presented.

关键词： Sensors Image processing detection and tracking algorithms Synthetic aperture radar Error analysis Image classification Image sensors Data modeling Image segmentation Mahalanobis distance

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Automatic Eye Enhancement by Sclera Whitening

Automatic Eye Enhancement by Sclera Whitening

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Conference on Imaging and Printing in a Web 2.0 World;and Multimedia Content Access - algorithms and Systems IV

作者： Lee, Changhyung Schramm, Morgan T. Boutin, Mireille Allebach, Jan P. Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA Hewlett Packard Corp Boise ID 83714 USA

ISBN: (纸本)9780819479334

We propose a method for automatically enhancing the eyes of all the faces in a digital image by whitening their scleras (i.e., the white part of their eyes). The scleras are identified by combining existing face detection and feature alignment technology with a color-based sclera probability map. We then smooth, brighten, and desaturate the scleras. This reduces the appearance of blood vessels and produces a healthier, more "refreshed" look.

关键词： Sclera Eye Facial recognition systems Image processing Chromium Image enhancement Veins Picosecond phenomena Sensors detection and tracking algorithms

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A New Corner detection Method Based on Differential Code

A New Corner Detection Method Based on Differential Code

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International Conference on Space Information Technology 2009

作者： Wu Shi-hu Yu Xu-chu Xu Min Informat Engn Univ Inst Surveying & Mapping Zhengzhou 450052 Peoples R China

ISBN: (纸本)9780819480798

Detecting dominant points is an important subject in pattern recognition and computer vision. The paper sums up the traditional corner detection methods based on Freeman codes and presents a new way to detect corner. Firstly, the points are classified using the differential code and the exact corners and uncertain corners are got. Then the curvature of the uncertain corners is calculated, and the points whose curvature is greater than the threshold are candidate corner. At last the right corners based on the Moving Line method is got. Experimental results show that the proposed method is superior to the conventional methods. Besides, the proposed method can be carried out more quickly.

关键词： Corner detection Machine vision Computer vision technology detection and tracking algorithms Pattern recognition Lithium Aerospace engineering Commercial off the shelf technology Current controlled current source Information technology

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Damage Visualization via Beamforming of Frequency-Wavenumber Filtered Wavefield Data

Damage Visualization via Beamforming of Frequency-Wavenumber...

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Conference on Health Monitoring of Structural and Biological Systems 2010

作者： Ruzzene, Massimo Xu, Buli Lee, Sang Jun Michaels, Thomas E. Michaels, Jennifer E. Georgia Inst Technol Sch Aerosp Engn Atlanta GA 30332 USA Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA

ISBN: (纸本)9780819480651

The development of effective damage imaging and characterization tools is a challenging task because of the dispersive and multi-modal nature of Lamb waves. An additional problem is the need for baseline data that is required by a number of existing techniques. This paper presents the development of imaging algorithms applied to filtered wavefield data received from piezoelectric disc sources. Frequency-wavenumber filtering is used to separate incident/backscattered waves and individual wave modes. Filtered data are provided as input to imaging algorithms that detect damage and estimate its location. The implementation of incident and backscattered waves separation procedures avoids the need for a baseline, while mode separation permits the analysis of modes that are most sensitive to damage. The proposed algorithm is verified experimentally for damage detection on an aluminum plate.

关键词： Image filtering Algorithm development detection and tracking algorithms Fourier transforms Transducers Damage detection Structural health monitoring Visualization Wave propagation Aluminum

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Towards automatic determination of total tumor burden from PET images

Towards automatic determination of total tumor burden from P...

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Conference on Medical Imaging 2010 - Computer-Aided Diagnosis

作者： Renisch, Steffen Opfer, Roland Wiemker, Rafael Philips Res Europe Hamburg Germany

ISBN: (纸本)9780819480255

Quantification of potentially cancerous lesions from imaging modalities, most prominently from CT or PET images, plays a crucial role both in diagnosing and staging of cancer as well as in the assessment of the response of a cancer to a therapy, e. g. for lymphoma or lung cancer. For PET imaging, several quantifications which might bear great discriminating potential (e. g. total tumor burden or total tumor glycolysis) involve the segmentation of the entirety of all of the cancerous lesions. However, this particular task of segmenting the entirety of all cancerous lesions might be very tedious if it has to be done manually, in particular if the disease is scattered or metastasized and thus consists of numerous foci;this is one of the reasons why only few clinical studies on those quantifications are available. In this work, we investigate a way to aid the easy determination of the entirety of cancerous lesions in a PET image of a human. The approach is designed to detect all hot spots within a PET image and rank their probability of being a cancerous lesion. The basis of this component is a modified watershed algorithm;the ranking is performed on a combination of several, primarily morphological measures derived from the individual basins. This component is embedded in a software suite to assess response to a therapy based on PET images. As a preprocessing step, potential lesions are segmented and indicated to the user, who can select the foci which constitute the tumor and discard the false positives. This procedure substantially simplifies the segmentation of the entire tumor burden of a patient. This approach of semi-automatic hot spot detection is evaluated on 17 clinical datasets.

关键词： Positron emission tomography Tumors Cancer Image segmentation Acquisition tracking and pointing Brain detection and tracking algorithms Lung cancer Lymphoma Computed tomography

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