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

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Analytic Sequential Methods for Detecting Network Intrusions

Analytic Sequential Methods for Detecting Network Intrusions

引用

Conference on Mobile Multimedia/Image Processing, Security, and Applications

作者： Chen, Xinjia Walker, Ernest Southern Univ Dept Elect Engn Baton Rouge LA 70813 USA

ISBN: (纸本)9781628410570

In this paper, we propose an analytic sequential methods for detecting port-scan attackers which routinely perform random "portscans" of IP addresses to find vulnerable servers to compromise. In addition to rigorously control the probability of falsely implicating benign remote hosts as malicious, our method performs significantly faster than other current solutions. We have developed explicit formulae for quick determination of the parameters of the new detection algorithm.

关键词： Algorithm development detection and tracking algorithms Scanners Stochastic processes Composites Data analysis Computer intrusion detection Electrical engineering Internet System identification

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detection and Correction of Inconsistency-based Errors in Non-Rigid Registration

Detection and Correction of Inconsistency-based Errors in No...

引用

Conference on Medical Imaging - Image Processing

作者： Gass, Tobias Szekely, Gabor Goksel, Orcun Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland

ISBN: (纸本)9780819498274

In this paper we present a novel post-processing technique to detect and correct inconsistency-based errors in non-rigid registration. While deformable registration is ubiquitous in medical image computing, assessing its quality has yet been an open problem. We propose a method that predicts local registration errors of existing pairwise registrations between a set of images, while simultaneously estimating corrected registrations. In the solution the error is constrained to be small in areas of high post-registration image similarity, while local registrations are constrained to be consistent between direct and indirect registration paths. The latter is a critical property of an ideal registration process, and has been frequently used to asses the performance of registration algorithms. In our work, the consistency is used as a target criterion, for which we efficiently find a solution using a linear least-squares model on a coarse grid of registration control points. We show experimentally that the local errors estimated by our algorithm correlate strongly with true registration errors in experiments with known, dense ground-truth deformations. Additionally, the estimated corrected registrations consistently improve over the initial registrations in terms of average deformation error or TRE for different registration algorithms on both simulated and clinical data, independent of modality (MRI/CT), dimensionality (2D/3D) and employed primary registration method (demons/Markov-random-field).

关键词： Image registration Error analysis Medical imaging detection and tracking algorithms Magnetorheological finishing Statistical analysis Computer simulations Image analysis Magnetic resonance imaging Image quality

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Discrete and Continuous Curvature Computation for Real Data

Discrete and Continuous Curvature Computation for Real Data

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Conference on Intelligent Robots and Computer Vision XXXI - algorithms and Techniques

作者： Colbry, Dirk Shrikhande, Neelima Michigan State Univ E Lansing MI 48824 USA Cent Michigan Univ Mt Pleasant MI 48858 USA

ISBN: (纸本)9780819499424

This paper describes two methods for estimating the minimum and maximum curvatures for a 3D surface and compares the computational efficiency of these approaches on 3D sensor data. The classical method of Least Square Fitting (LSF) finds an approximation of a cubic polynomial fit for the local surface around the point of interest P and uses the coefficients to compute curvatures. The Discrete Differential Geometry (DDG) algorithm approximates a triangulation of the surface around P and calculates the angle deficit at P as an estimate of the curvatures. The accuracy and speed of both algorithms are compared by applying them to synthetic and real data sets with sampling neighborhoods of varying sizes. Our results indicate that the LSF and DDG methods produce comparable results for curvature estimations but the DDG method performs two orders of magnitude faster, on average. However, the DDG algorithm is more susceptible to noise because it does not smooth the data as well as the LSF method. In applications where it is not necessary for the curvatures to be precise (such as estimating anchor point locations for face recognition) the DDG method yields similar results to the LSF method while performing much more efficiently.

关键词： 3D scanning Strontium Optical spheres Statistical analysis Facial recognition systems Computer graphics detection and tracking algorithms Evolutionary algorithms Image processing 3D modeling

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Towards Large Scale Multi-Target tracking

Towards Large Scale Multi-Target Tracking

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Conference on Sensors and Systems for Space Applications VII

作者： Ba-Ngu Vo Ba-Tuong Vo Reuter, Stephan Quang Lam Dietmayer, Klaus Curtin Univ Dept Elect & Comp Engn Kent St Perth WA 6102 Australia Univ Ulm Inst Measurement Control & Microtechnol D-89069 Ulm Germany Lexerdtex Corp Florham Pk NJ 07932 USA

ISBN: (纸本)9781628410228

Multi-target tracking is intrinsically an NP-hard problem and the complexity of multi-target tracking solutions usually do not scale gracefully with problem size. Multi-target tracking for on-line applications involving a large number of targets is extremely challenging. This article demonstrates the capability of the random finite set approach to provide large scale multi-target tracking algorithms. In particular it is shown that an approximate filter known as the labeled multi-Bernoulli filter can simultaneously track one thousand five hundred targets in clutter on a standard laptop computer.

关键词： Electronic filtering Target detection 3D modeling Picosecond phenomena 3D acquisition 3D metrology detection and tracking algorithms Probability theory Computer engineering Sensors

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Modifications in SIFT-based 3D Reconstruction from Image Sequence

Modifications in SIFT-based 3D Reconstruction from Image Seq...

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International Symposium on Optoelectronic Technology and Application (IPTA) - Image Processing and Pattern Recognition

作者： Wei, Zhenzhong Ding, Boshen Wang, Wei Beihang Univ Key Lab Precis Optomechatron Technol Minist Educ Beijing 100191 Peoples R China

ISBN: (纸本)9781628413878

In this paper, we aim to reconstruct 3D points of the scene from related images. Scale Invariant Feature Transform(SIFT) as a feature extraction and matching algorithm has been proposed and improved for years and has been widely used in image alignment and stitching, image recognition and 3D reconstruction. Because of the robustness and reliability of the SIFT's feature extracting and matching algorithm, we use it to find correspondences between images. Hence, we describe a SIFT-based method to reconstruct 3D sparse points from ordered images. In the process of matching, we make a modification in the process of finding the correct correspondences, and obtain a satisfying matching result. By rejecting the "questioned" points before initial matching could make the final matching more reliable. Given SIFT's attribute of being invariant to the image scale, rotation, and variable changes in environment, we propose a way to delete the multiple reconstructed points occurred in sequential reconstruction procedure, which improves the accuracy of the reconstruction. By removing the duplicated points, we avoid the possible collapsed situation caused by the inexactly initialization or the error accumulation. The limitation of some cases that all reprojected points are visible at all times also does not exist in our situation. "The small precision" could make a big change when the number of images increases. The paper shows the contrast between the modified algorithm and not. Moreover, we present an approach to evaluate the reconstruction by comparing the reconstructed angle and length ratio with actual value by using a calibration target in the scene. The proposed evaluation method is easy to be carried out and with a great applicable value. Even without the Internet image datasets, we could evaluate our own results. In this paper, the whole algorithm has been tested on several image sequences both on the internet and in our shots. Structure from motion, 3D modeling, SIFT, orde

关键词： 3D image reconstruction Reconstruction algorithms 3D modeling Cameras detection and tracking algorithms 3D image processing Calibration Internet Image processing Tin

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A High Speed 2D Time-to-Impact Algorithm Targeted for Smart Image Sensors

A High Speed 2D Time-to-Impact Algorithm Targeted for Smart ...

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Conference on Image Sensors and Imaging Systems

作者： Anders, Astrom Robert, Forchheimer Combitech AB Univ Sv 14 S-58331 Linkoping Sweden Linkoping Univ Div Informat Coding S-58183 Linkoping Sweden

ISBN: (纸本)9780819499394

In this paper we present a 2D extension of a previously described 1D method for a time-to-impact sensor [5][6]. As in the earlier paper, the approach is based on measuring time instead of the apparent motion of points in the image plane to obtain data similar to the optical flow. The specific properties of the motion field in the time-to-impact application are used, such as using simple feature points which are tracked from frame to frame. Compared to the 1D case, the features will be proportionally fewer which will affect the quality of the estimation. We give a proposal on how to solve this problem. Results obtained are as promising as those obtained from the 1D sensor.

关键词： Cameras Sensors Image sensors Image processing Motion estimation Motion measurement Time metrology Computer architecture Optical flow detection and tracking algorithms

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On-sky speckle nulling with the Subaru Coronagraphic Extreme AO (SCExAO) instrument 4

On-sky speckle nulling with the Subaru Coronagraphic Extreme...

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Conference on Adaptive Optics Systems IV

作者： Martinache, Frantz Guyon, Olivier Jovanocif, Nemanja Clergeon, Christophe Singh, Garima Kudo, Tomoyuki Observatoire Cote dAzur Lab Lagrange UMR 3972 F-06304 Nice France Subaru Telescope Hilo HI 96720 USA Univ Arizona Tucson AZ 85719 USA

ISBN: (纸本)9780819496164

Contrast limit for the direct imaging of extrasolar planets from ground based adaptive optics (AO) observations is set by the presence of static and slow-varying aberrations in the optical path that lead to the science instrument. To complement the otherwise highly successful angular differential imaging (ADI) technique toward small angular separation, we propose to employ additional wavefront control to modulate the diffraction. This flexible approach introduces enough diversity to discriminate genuine structures of the observed target from spurious diffraction features in the image. One possible implementation of such form of coherence differential imaging (CDI) is a speckle nulling algorithm that iteratively suppresses diffraction features inside a region constrained by the number of active elements of the deformable mirror modulating the wavefront, and the coronagraph. This paper presents on-sky results obtained with this approach, on the Subaru Coronagraphic Extreme AO (SCExAO) instrument.

关键词： Speckle Wavefronts Coronagraphy Adaptive optics Calibration Cameras Wavefront sensors detection and tracking algorithms Phase measurement Telescopes

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Denoising HSI images for standoff target detection

Denoising HSI images for standoff target detection

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20th SPIE Conference on algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery

作者： Wilson, Steven Latifi, Shahram Univ Nevada Dept Elect & Comp Engn Las Vegas NV 89154 USA

ISBN: (纸本)9781628410259

Hyperspectral image denoising methods aim to improve the spatial and spectral quality of the image to increase the effectiveness of target detection algorithms Comparing denoising methods is difficult, because sometimes authors have compared their algorithms to simple methods such as Wiener filter and wavelet thresholding. We would like to compare only the most effective methods for standoff target detection using sampled training spectra. Our overall goal is to implement an HSI algorithm to detect possible weapons and shielding materials in a scene, using a lab collected library of materials spectra. Selection of a suitable method is based on PSNR, classification accuracy, and time complexity. Since our goal is target detection, classification accuracy is more emphasized;however, an algorithm that requires large processing time would not be effective for the purpose of real-time detection. Elapsed time between HSI data collection and its processing could allow changes or movement in the scene, decreasing the validity of results. Based on our study, the First Order Roughness Penalty algorithm provides computation time of less than 2 seconds, but only provides an overall accuracy of 88% for the Indian Pines dataset. The Spectral Spatial Adaptive Total Variation method increases overall accuracy to almost 97%, but requires a computation time of over 50 seconds. For standoff target detection, Spectral Spatial Adaptive Total Variation is preferable, because it increases the probability of classification. By increasing the percentage of weapons materials that are correctly identified, further actions such as inspection or interception can be determined with confidence.

关键词： Denoising Target detection detection and tracking algorithms Wavelets Standoff detection Weapons Filtering (signal processing) Signal to noise ratio Wavelet transforms Library classification systems

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An Application of Backprojection for Video SAR Image Formation Exploiting a Subaperture Circular Shift Register

An Application of Backprojection for Video SAR Image Formati...

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Conference on algorithms for Synthetic Aperture Radar Imagery XX

作者： Miller, J. Bishop, E. Doerry, A. Gen Atom Aeronau Syst Inc San Diego CA 92127 USA

ISBN: (纸本)9780819495372

This paper details a Video SAR (Synthetic Aperture Radar) mode that provides a persistent view of a scene centered at the Motion Compensation Point (MCP). The radar platform follows a circular flight path. An objective is to form a sequence of SAR images while observing dynamic scene changes at a selectable video frame rate. A formulation of backprojection meets this objective. Modified backprojection equations take into account changes in the grazing angle or squint angle that result from non-ideal flight paths. The algorithm forms a new video frame relying upon much of the signal processing performed in prior frames. The method described applies an appropriate azimuth window to each video frame for window sidelobe rejection. A Cardinal Direction Up (CDU) coordinate frame forms images with the top of the image oriented along a given cardinal direction for all video frames. Using this coordinate frame helps characterize a moving target's target response. Generation of synthetic targets with linear motion including both constant velocity and constant acceleration is described. The synthetic target video imagery demonstrates dynamic SAR imagery with expected moving target responses. The paper presents 2011 flight data collected by General Atomics Aeronautical Systems, Inc. (GA-ASI) implementing the video SAR mode. The flight data demonstrates good video quality showing moving vehicles. The flight imagery demonstrates the real-time capability of the video SAR mode. The video SAR mode uses a circular shift register of subapertures. The radar employs a Graphics Processing Unit (GPU) in order to implement this algorithm.

关键词： Video Synthetic aperture radar Video acceleration Video surveillance Radar Microchannel plates Neptunium detection and tracking algorithms Image resolution Image acquisition

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3-D Interactive Augmented Reality-enhanced Digital Learning Systems for Mobile Devices

3-D Interactive Augmented Reality-enhanced Digital Learning ...

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Conference on Engineering Reality of Virtual Reality

作者： Feng, Kai-Ten Tseng, Po-Hsuan Chiu, Pei-Shuan Yang, Jia-Lin Chiu, Chun-Jie Natl Chiao Tung Univ Dept Elect Engn Hsinchu Taiwan

ISBN: (纸本)9780819494221

With enhanced processing capability of mobile platforms, augmented reality (AR) has been considered a promising technology for achieving enhanced user experiences (UX). Augmented reality is to impose virtual information, e.g., videos and images, on to a live-view digital display. UX on real-world environment via the display can be effectively enhanced with the adoption of interactive AR technology. Enhancement on UX can be beneficial for digital learning systems. There are existing research works based on AR targeting for the design of e-learning systems. However, none of these work focuses on providing three-dimensional (3-D) object modeling for enhanced UX based on interactive AR techniques. In this paper, the 3-D interactive augmented reality-enhanced learning (IARL) systems will be proposed to provide enhanced UX for digital learning. The proposed IARL systems consist of two major components, including the markerless pattern recognition (MPR) for 3-D models and velocity-based object tracking (VOT) algorithms. Realistic implementation of proposed IARL system is conducted on Android-based mobile platforms. UX on digital learning can be greatly improved with the adoption of proposed IARL systems.

关键词： 3D modeling detection and tracking algorithms Skin Pattern recognition 3D acquisition Cameras Databases Autoregressive models Mobile devices Target recognition

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