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

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Consequences of preprocessing feature data for support vector machines

Consequences of preprocessing feature data for support vecto...

引用

11th Conference on Automatic Target Recognition

作者： Gorsich, DJ Karlsen, RE Gerhart, GR USA Tank Automot & Armaments Command AMSTA TR R Warren MI 48397 USA

ISBN: (纸本)0819440744

Support vector machines are classification algorithms based on quadratic programming that have been found to give excellent classification results on problems such as discriminating targets from backgrounds. A key capability of these algorithms is that they do not require a preprocessing step to determine feature vectors, yet preprocessing is still an important step in the classification process. We discuss the effects of preprocessing feature data on the support vectors and the classification results of support vector machines. We first give a short introduction to support vector machines. Several methods to preprocess the data before being sent to the support vector machine are discussed. Then the algorithm is applied a set of second-order stochastic textures defined by their covariance structure. The effect on the classification rate is then determined.

关键词： Image classification Stochastic processes Matrices Computer programming detection and tracking algorithms Linear filtering Nonlinear filtering Computer simulations Feature extraction MATLAB

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CLUSTERING WITH UNSUPERVISED LEARNING NEURAL NETWORKS - A COMPARATIVE-STUDY 4

CLUSTERING WITH UNSUPERVISED LEARNING NEURAL NETWORKS - A CO...

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4th International Conference on Applications of Artificial Neural Networks

作者： WANN, CD THOMOPOULOS, SCA PENN STATE UNIV DEPT ELECT & COMP ENGNDECIS & CONTROL SYST LABUNIV PKPA 16802

ISBN: (纸本)0819412015

A benchmark study of two self-organizing artificial neural network models, ART2 and DIGNET, is conducted. The architecture differences and learning procedures between these two models are compared. The performance of ART2 and DIGNET on data clustering and pattern recognition problems with noise or interference is investigated by computer simulations. It is shown that DIGNET generally has faster learning and better clustering performance on the statistical pattern recognition problems. DIGNET has a simpler architecture, and the system parameters can be analytically determined from the self- organizing process. The threshold value used in DIGNET can be specifically determined from a given lower bound on the desirable signal-to-noise ratio (SNR). A modified model based on the features of ART2 and DIGNET is also derived and investigated. The simpler architecture combines the ART2 structure with the advantages of DIGNET model. The concepts of well depth and stage age originally introduced in DIGNET are applied in the modified model. The modified model preserves the features of noise suppression, contrast enhancement and self- organizing stable pattern recognition of ART2, yet provides a specific method to adjust parameters in the network. The network performs a variant of K-means learning, but without the knowledge of a priori information on the actual number of clusters. The networks discussed in this paper are applied and benchmarked against clustering and pattern recognition problems. Comparative simulation results of the networks are also presented.

关键词： Signal to noise ratio Performance modeling Systems modeling Artificial neural networks Pattern recognition Computer simulations Machine learning Image classification Neural networks detection and tracking algorithms

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Correlation filters for object tracking target re-acquisition and smart aimpoint selection

Correlation filters for object tracking target re-acquisitio...

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Conference on Optical Pattern Recognition VIII

作者： Mahalanobis, A Hughes Missile Systems Co. (United States)

ISBN: (纸本)0819424889

Correlation filters designed for automatic target recognition can be used for assisting trackers. We show that a tracker may use the filters for independent verification of the target as necessary. In particular, a form of the filters known as unconstrained correlation filters is shown to be optimal from a detection standpoint. An example is given to illustrate the concept of target reacquisition when the tracker's lock is broken.

关键词： Image filtering Distortion detection and tracking algorithms Electronic filtering Target detection Tolerancing Automatic target recognition Image processing Automatic tracking Composites

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Extraction of object lines in engineering drawings

Extraction of object lines in engineering drawings

引用

Document Recognition

作者： Lai, Chan P. Kasturi, Rangachar The Pennsylvania State Univ. (United States)

ISBN: (纸本)081941476X

Classification of object lines in mechanical part drawings is a critical problem for automated conversion of drawings from paper medium to CAD databases. We describe new methods for classifying object lines. These methods include section line detection, hidden line detection, centerline detection and object line extraction. A self-supervised approach which includes a spacing estimation step and a recognition step to extract section lines is described. A general purpose algorithm that not only detects dashed lines but also classifies them based on their attributes is described. These attributes are used for classification of detected dashed lines as hidden lines or centerlines. Object line extraction facilitates intelligent interpretation of geometric objects for integration with CAD/CAM systems.

关键词： Databases Computer aided design Algorithm development detection and tracking algorithms Image segmentation System integration Surface plasmons Gallium Silicon Computer science

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Earth beacon acquisition and tracking under various illumination conditions

Earth beacon acquisition and tracking under various illumina...

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Conference on Free-Space Laser Communication Technologies XIII

作者： Marino, B Tsou, HP Yan, TY Loyola Marymount Univ Dept Elect Engn Los Angeles CA 90045 USA

ISBN: (纸本)0819439509

The use of sun-illuminated Earth images has been explored to aid in meeting the stringent pointing requirements for deep space optical downlink telemetry. It has been shown that fully illuminated Earth images provide a symmetry that easily lends to the determination of the geocenter. Since more often that not, the Earth is only partially illuminated by the sun, additional work is required to meet the pointing requirements under all illumination conditions. This paper develops an algorithm for determining the geocenter of the Earth regardless of the illumination by the sun using sub-pixel scanning and a simple thresholding technique. To complete this approach the acquisition algorithm is paired with a tracking technique based on maximum likelihood estimation. Results have indicated that the algorithm works well to locate and track the position of the Earth and, thereby, a receiving station. Results of the experiments are presented and compared with other techniques.

关键词： detection and tracking algorithms Image processing Charge-coupled devices Signal to noise ratio Algorithm development Sun Error analysis Linear filtering Mirrors Astronomical imaging

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Research on intelligent task planning technology based on multi-satellite and multi-payload

Research on intelligent task planning technology based on mu...

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2024 International Conference on Automation Control, Algorithm, and Intelligent Bionics, ACAIB 2024

作者： Zhuang, Chaoran Shi, Xiaojin Wang, Weishi Qian, Chengyuan Wang, Jingqiao Beijing China

ISBN: (纸本)9781510682597

The number of remote sensing satellites is increasing, and the types and number of payload are also increasing. User demand is also increasing, and satellite resources are still relatively tight. To study how to coordinate the joint observation of multiple satellites and multiple payloads, give full play to the overall observation benefits of remote sensing satellite resources, and meet the increasingly complex task requirements of various users, all available resources must be integrated. Realize the overall management of remote sensing satellite resources and task collaborative planning, and improve the ability of data acquisition and support through the effective integration of various resources. Research on intelligent task planning technology based on multi satellite and multi load. Through the research and construction of satellite and ground resource models, and standardized requirements and task models, the constraints of intelligent satellite task planning are realized, and the optimal scheduling under conventional planning is realized. Research and build the multi-objective optimization planning model of resource observation to improve the intelligence of task planning algorithm. Scientifically arrange satellite imaging and give full play to the efficiency of satellite use. © 2024 SPIE.

关键词： Satellites Remote sensing Satellite imaging Earth observing sensors Data acquisition detection and tracking algorithms Environmental monitoring Ocean optics Optical resolution Optical sensing

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Recognition methodology: algorithms & architecture

Recognition methodology: Algorithms & architecture

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Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology 1987

作者： Haralick, Robert M. Department of Electrical Engineering FT-10 University of Washington SeattleWA98195 United States

Computer recognition and inspection of objects is, in general , a complex procedure requiring a variety of kinds of steps which successively transform the iconic data to recognition information. We hypothesize that the difficulty of today's computer vision and recognition technology to be able to handle unconstrained environments is due to the fact that the existing algorithms are specialized and do not develop one or more of the necessary steps to a high enough degree. Our thesis is that there are no shortcuts. A recognition methodology must pay substantial attention to each of the following five steps: conditioning, labeling, grouping, extracting, and matching.

关键词： detection and tracking algorithms Convolution Pattern recognition Digital imaging Algorithm development Machine vision 3D image processing Prototyping Computer vision technology Inspection

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Abnormal temperature monitoring and simulation of submarine cable based on exponential characteristic 3

Abnormal temperature monitoring and simulation of submarine ...

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3rd International Conference on Electronics Technology and Artificial Intelligence, ETAI 2024

作者： Xu, Xinyu School of Information Engineering Shanghai Maritime University Shanghai201306 China

ISBN: (纸本)9781510683143

When the temperature of a submarine cable spikes unexpectedly, prompt repairs are crucial to prevent a thermal breakdown accident that could compromise production safety and result in substantial economic losses. Monitoring and diagnosing real-time temperature data of submarine cables holds significant practical engineering importance and economic value. To this end, we propose an innovative method for detecting abnormal temperature rises that leverages eigenvalue amplification. This technique effectively enhances the visibility of abnormal values, making their characteristics more pronounced. Our approach enables early detection of abnormal temperature spikes in submarine cables, ensuring a high level of accuracy in identifying temperature differences. Furthermore, our exponential characteristics-based monitoring and simulation system for submarine cables offers robust protection, meeting the stringent requirements for both accuracy and real-time monitoring. © 2024 SPIE.

关键词： detection and tracking algorithms Engineering Temperature metrology Optical fibers Optical sensing Crop monitoring Design Environmental monitoring Matrices Safety

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Exposure-focus critical dimension feedback control in 300mm manufacturing technologies

Exposure-focus critical dimension feedback control in 300mm ...

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Conference on Advanced Process Control and Automation

作者： Narendra, A Carson, S Morrison, C Intel Corp Hillsboro OR 97124 USA

ISBN: (纸本)0819448494

Control of DCCDs (Develop Check Critical Dimension) is a key aspect of successfully manufacturing semiconductors at Intel. DCCD control was formerly achieved through manual adjustments of the exposure dose on the tool to account for the known effects of non-stationary tool/process drift. An automated application EFCC (Exposure-Focus CD Control) was developed at Intel, to create a robust algorithm and automated implementation, replacing the manual adjustment process. The EFCC algorithm uses DCCD summary measurements as the feedback to the stepper. At the stepper, the exposure setting is adjusted to correct for non-stationary tool/process drift. A weighted average of data from previous lots is used to determine the recommended exposure dose settings. The feedback scheme weights prior lots using a combination of traditional EWMA based weighting and within lot (across sites on wafer) variance based weighting. The EFCC implementation has benefits in increased Cpk, reduced rework, continuous adjustment. Furthermore, as this is an automated control solution, it can be easily extended to support more sophisticated adjustment algorithms.

关键词： Manufacturing Data modeling Process control Process modeling Algorithm development Control systems Feedback control Correlation function detection and tracking algorithms Semiconductor manufacturing

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Into the Wild: A Study in Rendered Synthetic Data and Domain Adaptation Methods 9

Into the Wild: A Study in Rendered Synthetic Data and Domain...

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Conference on Geospatial Informatics IX

作者： Dotter, Marissa Mediavilla, Chelsea Sato, Jonathan Ward, Chris M. Parameswaran, Shibin Harguess, Josh Naval Informat Warfare Ctr 53560 Hull St San Diego CA 92152 USA Shield AI Inc San Diego CA USA NIWC Pacific San Diego CA USA

ISBN: (纸本)9781510626508

Rendering synthetic imagery from gaming engine environments allows us to create data featuring any number of object orientations, conditions, and lighting variations. This capability is particularly useful in classification tasks, where there is an overwhelming lack of labeled data needed to train state-of-the-art machine learning algorithms. However, the use of synthetic data is not without limit: in the case of imagery, training a deep learning model on purely synthetic data typically yields poor results when applied to real world imagery. Previous work shows that "domain adaptation", mixing real-world and synthetic data, improves performance on a target dataset. In this paper, we train a deep neural network with synthetic imagery, including balls, cars, and overhead ship imagery, and investigate a variety of methods to adapt our model to corresponding datasets of real images.

关键词： Image classification Data modeling detection and tracking algorithms Image quality Statistical analysis Visualization Earth observing sensors Neural networks Satellite imaging Satellites

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