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检索条件"任意字段=Multisensor. Multisource Information Fusion: Architectures, Algorithms, and Applications 2003"

共 284 条记录，以下是61-70 订阅

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Context based gait recognition

Context based gait recognition

引用

Conference on multisensor. multisource information fusion - architectures, algorithms, and applications

作者： Bazazian, Shermin Gavrilova, Marina Univ Calgary Dept Comp Sci Calgary AB T2N 1N4 Canada

ISBN: (纸本)9780819490858

Gait recognition has recently become a popular topic in the field of biometrics. However, the main hurdle is the insufficient recognition rate in the presence of low quality samples. The main focus of this paper is to investigate how the performance of a gait recognition system can be improved using additional information about behavioral patterns of users and the context in which samples have been taken. The obtained results show combining the context information with biometric data improves the performance of the system at a very low cost. The amount of improvement depends on the distinctiveness of the behavioral patterns and the quality of the gait samples. Using the appropriate distinctive behavioral models it is possible to achieve a 100% recognition rate.

关键词： Biometrics gait recognition information fusion context-based model behavioral patterns

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Signal-to-noise ratio for cross-sensor fusion approach

Signal-to-noise ratio for cross-sensor fusion approach

引用

Conference on multisensor. multisource information fusion

作者： Kozaitis, S. P. Ouendeno, M. Florida Inst Technol Dept Elect & Comp Engn 150 W Univ Blvd Melbourne FL 32901 USA

We determined the signal-to-noise ratios for an image fusion approach that is suitable for application to systems with disparate sensors. We found there was reconstruction error present when the forward and reverse tr... 详细信息

ISBN: (纸本)9780819466938

关键词： image fusion image transform signal-to-noise ratio wavelet wavelet transform

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Learned fusion Operators Based on Matrix Completion

Learned Fusion Operators Based on Matrix Completion

引用

Conference on multisensor. multisource information fusion - architectures, algorithms, and applications

作者： Risko, Kelly K. D. Hester, Charles F. US Army Res Dev & Engn Command Weap Dev & Integrat Directorate Aviat & Missile Res Dev & Engn Ctr Redstone Arsenal AL 35898 USA

ISBN: (纸本)9780819486387

The efficient and timely management of imagery captured in the battlefield requires methods capable of searching the voluminous databases and extracting highly symbolic concepts. When processing images, a semantic and definition gap exists between machine representations and the user's language. Based on matrix completion techniques, we present a fusion operator that fuses imagery and expert knowledge provided by user inputs during post analysis. Specifically, an information matrix is formed from imagery and a class map as labeled by an expert. From this matrix an image operator is derived for the extraction/prediction of information from future imagery. We will present results using this technique on single mode data.

关键词： fusion matrix completion class map

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Image fusion for remote sensing using fast, large-scale neuroscience models

Image fusion for remote sensing using fast, large-scale neur...

引用

Conference on multisensor. multisource information fusion - architectures, algorithms, and applications

作者： Brumby, Steven P. Los Alamos Natl Lab Los Alamos NM 87545 USA

ISBN: (纸本)9780819486387

We present results with large-scale neuroscience-inspired models for feature detection using multi-spectral visible/infrared satellite imagery. We describe a model using an artificial neural network architecture and learning rules to build sparse scene representations over an adaptive dictionary, fusing spectral and spatial textural characteristics of the objects of interest. Our results with fast codes implemented on clusters of graphical processor units (GPUs) suggest that visual cortex models are a promising approach to practical pattern recognition problems in remote sensing, even for datasets using spectral bands not found in natural visual systems.

关键词： Visual cortex sparse coding artificial neural network

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Integration of language and sensor information

Integration of language and sensor information

引用

Conference on multisensor. multisource information fusion - architectures, algorithms and applications 2003

作者： Perlovsky, LI Weijers, B Air Force Res Lab Bedford MA 01731 USA

ISBN: (纸本)0819449598

The talk describes the development of basic technologies of intelligent systems fusing data from multiple domains and leading to automated computational techniques for understanding data contents. Understanding involves inferring appropriate decisions and recommending proper actions, which in turn requires fusion of data and knowledge about objects, situations, and actions. Data might include sensory data, verbal reports, intelligence intercepts, or public records, whereas knowledge ought to encompass the whole range of objects, situations, people and their behavior, and knowledge of languages. In the past, a fundamental difficulty in combining knowledge with data was the combinatorial complexity of computations, too many combinations of data and knowledge pieces had to be evaluated. Recent progress in understanding of natural intelligent systems, including the human mind, leads to the development of neurophysiologically motivated architectures for solving these challenging problems, in particular the role of emotional neural signals in overcoming combinatorial complexity of old logic-based approaches. Whereas past approaches based on logic tended to identify logic with language and thinking, recent studies in cognitive linguistics have led to appreciation of more complicated nature of linguistic models. Little is known about the details of the brain mechanisms integrating language and thinking. Understanding and fusion of linguistic information with sensory data represent a novel challenging aspect of the development of integrated fusion systems. The presentation will describe a non-combinatorial approach to this problem and outline techniques that can be used for fusing diverse and uncertain knowledge with sensory and linguistic data.

关键词： information fusion language sensors intelligent systems understanding linguistic models knowledge non-combinatorial cognitive neural

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Combat air identification fusion algorithm (CAIFA)

Combat air identification fusion algorithm (CAIFA)

引用

Conference on multisensor. multisource information fusion - architectures, algorithms and applications 2003

作者： Butler, CA Baker, JE Crowe, JA Kierstead, DP Mauro, CA Daniel H Wagner Associates Inc Hampton VA 23669 USA

ISBN: (纸本)0819449598

The Combat Air Identification fusion Algorithm (CAIFA), developed by Daniel H. Wagner, Associates, is a prototype, inferential reasoning algorithm for air combat identification. Bayesian reasoning and updating techniques are used in CAIFA to fuse multi-source identification evidence to provide identity estimates-allegiance, nationality, platform type, and intent-of detected airborne objects in the air battle space, enabling positive and rapid Combat Identification (CID) decisions. CAIFA was developed for the Composite Combat Identification (CCID) project under the Office of Naval Research (ONR) Missile Defense (MD) Future Naval Capability (FNC) program. CAIFA processes identification (ID) attribute evidence generated by surveillance sensors and other information sources over time by, updating the identity estimate for each target using Bayesian inference. CAIFA exploits the conditional interdependencies of attribute variables by constructing a context-dependent Bayesian Network (BN). This formulation offers a well-established, consistent approach for evidential reasoning, renders manageable the potentially large CID state space, and provides a flexible and extensible representation to accommodate requirements for model reconfiguration/restructuring. CAIFA enables reasoning across and at different levels of the Air Space Taxonomy.

关键词： combat identification Bayesian networks multi-source integration

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Use of sonification in the detection of anomalous events

Use of sonification in the detection of anomalous events

引用

Conference on multisensor. multisource information fusion - architectures, algorithms, and applications

作者： Ballora, Mark Cole, Robert J. Kruesi, Heidi Greene, Herbert Mohanan, Ganesh Hall, David L. Penn State Univ Coll Informat Sci & Technol University Pk PA 16802 USA Raytheon Corp State Coll PA 16803 USA

ISBN: (纸本)9780819490858

In this paper, we describe the construction of a soundtrack that fuses stock market data with information taken from tweets. This soundtrack, or auditory display, presents the numerical and text data in such a way that anomalous events may be readily detected, even by untrained listeners. The soundtrack generation is flexible, allowing an individual listener to create a unique audio mix from the available information sources. Properly constructed, the display exploits the auditory system's sensitivities to periodicities, to dynamic changes, and to patterns. This type of display could be valuable in environments that demand high levels of situational awareness based on multiple sources of incoming information.

关键词： Sonification auditory display SuperCollider Twitter stock prices data fusion situational awareness

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Use of multi sensor fusion technology to meet the challenges of emerging EO & RF threats to a combat aircraft

Use of multi sensor fusion technology to meet the challenges...

引用

Conference on multisensor. multisource information fusion - architectures, algorithms and applications 2003

作者： Shukla, AK Parthasarathy, T Rao, PNAP Govt India Minist Def Aeronaut Dev Agcy Bangalore 560017 Karnataka India

ISBN: (纸本)0819449598

The pilot on-board a combat aircraft encounters during any mission a dynamically varying threat environment of diverse EO and RF threats. Different sensors are carried on-board the aircraft to combat these threats. However, these sensors have their own limitations and no single sensor is able to perform in all kinds of situations. In addition, the technological advances in the threat scenario - in terms of higher speeds, small signatures and multimode guidance - and increased complex threats in the battlefield leading to generation of large amount of data input to the pilot make his decision making task very difficult due to increased workload. These challenges can be efficiently handled by deployment of a system on-board the aircraft with a comprehensive goal of autonomous target detection and tracking, situation and threat assessment and decision making based on multi-sensor data fusion techniques. In this paper, major emerging EO and RF threats for a combat aircraft and some important EO and RF sensors on-board the aircraft have been discussed. A design approach for the development of a multi-sensor data fusion system for a combat aircraft to provide better threat assessment than that provided by any single stand alone sensor has also been presented.

关键词： Multi-Sensor Data fusion Electro-Optical (EO) Radio Frequency (RF) Moving Target Image (MTTM) Multiple Hypothesis Tracking (MHT) Probabilistic Data Association (PDA)

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Mask Pyramid Methodology for Enhanced Localization in Image fusion and Enhancement

Mask Pyramid Methodology for Enhanced Localization in Image ...

引用

Conference on multisensor. multisource information fusion - architectures, algorithms, and applications

作者： Zhang, David C. Chai, Sek van der Wal, Gooitzen Berends, David Sufi, Azhar Buchanan, Greg Piacentino, Michael Burt, Peter J. SRI Int Sarnoff Princeton NJ 08540 USA

ISBN: (纸本)9780819486387

Image fusion is a process that combines regions of images from different sources into a single fused image based on a salience selection rule for each region. In this paper, we proposed an algorithmic approach using a mask pyramid to better localize the selection process. A mask pyramid operates in different scales of the image to improve the fused image quality beyond a global selection rule. The proposed approach offers a generic methodology for applications in image enhancement, high dynamic range compression, depth of field extension, and image blending. The mask pyramid can also be encoded for intelligent analysis of source imagery. Several examples of this mask pyramid method are provided to demonstrate its performance in a variety of applications. A new embedded system architecture that builds upon the Acadia (R) II Vision Processor is proposed.

关键词： image fusion exposure fusion high dynamic range imaging focus fusion image blending noise reduction image enhancement

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Integrated Multi-sensor fusion for Mapping and Localization in Outdoor Environments for Mobile Robots

Integrated Multi-sensor Fusion for Mapping and Localization ...

引用

Conference on multisensor. multisource information fusion - architectures, algorithms, and applications

作者： Emter, Thomas Petereit, Janko Fraunhofer Inst Optron Syst Technol & Image Explo Karlsruhe Germany

ISBN: (纸本)9781628410587

An integrated multi-sensor fusion framework for localization and mapping for autonomous navigation in unstructured outdoor environments based on extended Kalman filters (EKF) is presented. The sensors for localization include an inertial measurement unit, a GPS, a fiber optic gyroscope, and wheel odometry. Additionally a 3D LIDAR is used for simultaneous localization and mapping (SLAM). A 3D map is built while concurrently a localization in a so far established 2D map is estimated with the current scan of the LIDAR. Despite of longer run-time of the SLAM algorithm compared to the EKF update, a high update rate is still guaranteed by sophisticatedly joining and synchronizing two parallel localization estimators.

关键词： multi-sensor fusion extended Kalman filter particle filter SLAM autonomous mobile robot asynchronous fusion 3D LIDAR mapping

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