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检索条件"任意字段=Conference on Sensor Fusion - Architectures, Algorithms, and Applications"

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PROMETHEUS database: A multimodal corpus for research on modeling and interpreting human behavior

PROMETHEUS database: A multimodal corpus for research on mod...

引用

International conference on Digital Signal Processing (DSP)

作者： Stavros Ntalampiras Dejan Arsic Andre Stormer Todor Ganchev Ilyas Potamitis Nikos Fakotakis Department of Electrical and Computer Engineering University of Patras Greece Institute of Human Machine Communication Technische Universität München Germany Technological Educational Institute of Crete Greece

The present paper describes the construction of a multimodal database, referred to as the PROMETHEUS database, which contains recordings from heterogeneous sensors. The main purpose of this database is the development of a framework for monitoring and interpretation of human behavior in unrestricted environments of both indoor and outdoor type. It contains single-person and multi-person scenarios, but also covers scenarios with interactions between groups of people. It is devoted to detection of typical and atypical events, while care has been to taken for the recordings to be as close to real-world conditions as possible. The uniqueness of the PROMETHEUS database comes not only from the unique sensor sets but is due primarily to its generic design, which allows for embracing a wide range of real-world applications (including smart-home and human-robot interaction interfaces, indoors/outdoors public areas surveillance etc).

关键词： Databases Humans Layout Surveillance Signal processing algorithms sensor fusion Predictive models Information analysis Pattern analysis Multimodal sensors

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A GPU-based architecture for improved online rebinning performance in clinical 3-D PET

A GPU-based architecture for improved online rebinning perfo...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Dilip R. Patlolla Eric Breeding William F. Jones Jimmy Everman Siemens Healthcare Molecular Imaging Siemens Medical Solutions Inc. Knoxville TN USA

Online rebinning is an important and well-established technique for reducing the time required to process PET data. However, the need for efficient data processing in a clinical setting is growing rapidly and is beginning to exceed the capability of traditional online processing methods. High-count rate applications such as rubidium 3-D PET studies can easily saturate current online rebinning technology. Real-time processing at these high count rates is essential to avoid significant data loss. In addition, the emergence of time-of-flight (TOF) scanners is producing very large data sets for processing. TOF applications require efficient online rebinning methods so as to maintain high patient throughput. Currently, several new hardware architectures like Graphics Processing Units (GPUs) are available to speed up the data parallel and number crunching algorithms. In comparison to the usual parallel systems, such as multiprocessor or clustered machines, GPU hardware can be much faster and above all, it is significantly cheaper. The GPUs have been primarily delivered for graphics for video games but are now being used for high performance computing across many domains. In this study, we investigate the suitability of the GPU for PET rebinning algorithms and also implement them on the same.

关键词： Positron emission tomography Hardware Telephony Computer architecture Detectors sensor arrays Biomedical imaging USA Councils Graphics Parallel processing

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Detection of body posture with low-cost CMOS camera systems for applications in medical care

Detection of body posture with low-cost CMOS camera systems ...

引用

IEEE International conference on Electro-Information Technology

作者： Yanfei Liu Carlos Pomalaza-Raez Indiana University Purdue University Fort Wayne Indiana USA

This paper describes an ongoing research program aimed to develop a network of low-cost, low-power consumption CMOS cameras whose main function is to determine, within a typical house or office room, the posture of a human body, i.e. standing, sitting, or laying down. Fast, low-complexity algorithms have been developed which can be implemented on the limited CPU and RAM resources that are available in the microprocessor chip that comes integrated with this type of cameras. When equipped with wireless communication capabilities, e.g. IEEE 802.15.4, the cameras can perform data fusion and collaborative decision functions that can further increase the probability of correct detection and classification. It is envisioned that systems such as the one described in this paper will work in conjunction with a wireless body area network (WBAN) that measures vital signs. The final goal is to have an accurate and cost effective system capable of providing relevant and timely information to the medical personnel that is responsible for the care of the patients.

关键词： CMOS image sensors Cameras Body sensor networks Humans Microprocessor chips Wireless communication Collaborative work Area measurement Costs Personnel

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Embedded Virtual Machines for Robust Wireless Control Systems

Embedded Virtual Machines for Robust Wireless Control System...

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International conference on Distributed Computing Systems Workshop

作者： Rahul Mangharam Miroslav Pajic Department of Electrical & Systems Engineering University of Pennsylvania USA

Embedded wireless networks have largely focused on open loop sensing and monitoring. To address actuation in closed loop wireless control systems there is a strong need to re-think the communication architectures and protocols for reliability, coordination and control. As the links, nodes and topology of wireless systems are inherently unreliable, such time-critical and safety-critical applications require programming abstractions where the tasks are assigned to the sensors, actuators and controllers as a single component rather than statically mapping a set of tasks to a specific physical node at design time. To this end, we introduce the embedded virtual machine (EVM), a powerful and flexible programming abstraction where virtual components and their properties are maintained across node boundaries. In the context of process and discrete control, an EVM is the distributed runtime system that dynamically selects primary-backup sets of controllers to guarantee QoS given spatial and temporal constraints of the underlying wireless network. The EVM architecture defines explicit mechanisms for control, data and fault communication within the virtual component. EVM-based algorithms introduce new capabilities such as predictable outcomes and provably minimal graceful degradation during sensor/actuator failure, adaptation to mode changes and runtime optimization of resource consumption. Through the design of a natural gas process plant hardware-in-loop simulation we aim to demonstrate the preliminary capabilities of EVM-based wireless networks.

关键词： Virtual machining Robust control Control systems Communication system control Wireless sensor networks Open loop systems Actuators Wireless networks Wireless application protocol Telecommunication network reliability

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Decision fusion in sensor Networks for Spectrum Sensing based on Likelihood Ratio Tests

Decision Fusion in Sensor Networks for Spectrum Sensing base...

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conference on Advanced Signal Processing algorithms, architectures, and Implementantions XVIII

作者： Chung, Wei-Ho Yao, Kung Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90095 USA

ISBN: (纸本)9780819472946

sensor networks have been shown to be useful in diverse applications. One of the important applications is the collaborative detection based on multiple sensors to increase the detection performance. To exploit the spectrum vacancies in cognitive radios, we consider the collaborative spectrum sensing by sensor networks in the likelihood ratio test (LRT) frameworks. In the LRT, the sensors make individual decisions. These individual decisions are then transmitted to the fusion center to make the final decision, which provides better detection accuracy than the individual sensor decisions. We provide the lowered-bounded probability of detection (LBPD) criterion as an alternative criterion to the conventional Neyman-Pearson (NP) criterion. In the LBPD criterion, the detector pursues the minimization of the probability of false alarm while maintaining the probability of detection above the pre-defined value. In cognitive radios, the LBPD criterion limits the probabilities of channel conflicts to the primary users. Under the NP and LBPD criteria, we provide explicit algorithms to solve the LRT fusion rules, the probability of false alarm, and the probability of detection for the fusion center. The fusion rules generated by the algorithms are optimal under the specified criteria. In the spectrum sensing, the fading channels influence the detection accuracies. We investigate the single-sensor detection and collaborative detections of multiple sensors under various fading channels, and derive testing statistics of the LRT with known fading statistics.

关键词： sensor networks cognitive radio lower-bounded probability of detection criterion Neyman-Pearson criterion decision fusion

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Data and sensor fusion for bistatic applications

Data and sensor fusion for bistatic applications

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conference on Multisensor, Multisource Information fusion

作者： Lee, Anne L. Walden Univ Minneapolis MN 55401 USA

ISBN: (纸本)9780819471659

Detection and tracking of sophisticated targets involving increased resolution and the utility of synthetic aperture transmitter windows require new and innovative approaches to active sensor technologies. The bistatic technique to target tracking is extended to form a multistatic radar system using multiple and separate transmitters and receivers that are designated sparsely located in a region. The fusion of the received data through the utility of a non-linear Kalman filter technique is discussed to predict track through observations from the multistatic system. Target positions and velocities are estimated and the error is shown to converge to zero. The Munkre algorithm is utilized for data and track association to improve error minimization.

关键词： Munkre algorithm resolution active sensors data fusion tracking non-linear Kalman filtering radar

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Distributed multi-sensor fusion

Distributed multi-sensor fusion

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Multisensor, Multisource Information fusion: architectures, algorithms, and applications 2008

作者： Scheffel, Peter Fish, Robert Knobler, Ron Plummer, Thomas McQ Inc. 1551 Forbes Street Fredericksburg VA 22405-1603

ISBN: (纸本)9780819471659

McQ has developed a broad based capability to fuse information in a geographic area from multiple sensors to build a better understanding of the situation. The paper will discuss the fusion architecture implemented by McQ to use many sensors and share their information. This multi sensor fusion architecture includes data sharing and analysis at the individual sensor, at communications nodes that connect many sensors together, at the system server/user interface, and across multi source information available through networked services. McQ will present a data fusion architecture that integrates a "Feature Information Base" (FIB) with McQ's well known Common Data Interchange Format (CDIF) data structure. The distributed multi sensor fusion provides enhanced situation awareness for the user.

关键词： Information fusion

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Data fusion architectures for sensor platforms

Data fusion architectures for sensor platforms

引用

2008 IEEE Aerospace conference

作者： Mirza, Atif R. MIT Cambridge MA 02139 USA

ISBN: (纸本)9781424414871

The role of data fusion in sensor platforms is becoming increasingly important in various domains of science, technology and business. fusion pertains to the merging or integration of information towards an enhanced level of awareness. Multi-sensor fusion can be applied to any system that must retrieve and synthesize data from numerous sources. Its applications can be found in a variety of technology settings, from robotics, structural and vehicle health monitoring to communications, space science and telemedicine. This work is a canonical overview of several major fusion architectures developed from the remote sensing and defense community. We present several types of architecture for managing multi-sensor data fusion, specifically as they relate to the tracking-correlation function and blackboard processing representations in knowledge engineering. Object-Process Methods are used to model the information fusion process and supporting subsystems. Finally, we discuss the importance of fusion to the concept and operation of the Semantic Web. Semantic networks offer powerful ways to exploit the synergy of multi-sensor data platforms. Their operation is based on synthesis of fusion with ontology models for knowledge representation. We discuss the importance of fusion as a reuse process in ontological engineering, and review key lifecycle models in ontology development. The evolutionary approach to ontology development is considered the most useful and adaptable to the complexities of semantic networks. Several potential applications for data fusion are screened and ranked according to the Joint Directors of Laboratories (JDL) process model for information fusion. Based on these predetermined criteria, the case of medical diagnostic imaging was found to offer the most promising applications for fusion, on which future product platforms can be built.(1).

关键词： Structural health monitoring

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Advances in image registration and fusion

Advances in image registration and fusion

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conference on Multisensor, Multisource Information fusion

作者： Steer, Chris Rogers, Jeremy Smith, Moira Heather, Jamie Bernhardt, Mark Hickman, Duncan Waterfall Solut Ltd Surrey GU2 9JX England

ISBN: (纸本)9780819471659

Many image fusion systems involving passive sensors require the accurate registration of the sensor data prior to performing fusion. Since depth information is not readily available in such systems, all registration algorithms are intrinsically approximations based upon various assumption about the depth field. Although often overlooked, many registration algorithms can break down in certain situations and this may adversely affect the image fusion performance. In this paper, we discuss a framework for quantifying the accuracy and robustness of image registration algorithms which allows a more precise understanding of their shortcomings. In addition, some novel algorithms have been investigated that overcome some of these limitations. A second aspect of this work has considered the treatment of images from multiple sensors whose angular and spatial separation is large and where conventional registration algorithms break down (typically greater than a few degrees of separation). A range of novel approaches is reported which exploit the use of parallax to estimate depth information and reconstruct a geometrical model of the scene. The imagery can then be combined with this geometrical model to render a variety of useful representations of the data. These techniques (which we term Volume Registration) show great promise as a means of gathering and presenting 3D and 4D scene information for both military and civilian applications.

关键词： model generation registration fusion

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Non-algorithmic information fusion

Non-algorithmic information fusion

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conference on Multisensor, Multisource Information fusion

作者： Brander, Jim Interact Engn Sydney NSW Australia

ISBN: (纸本)9780819471659

This paper considers the applicability of algorithms, constraint solving and active structure across the spectrum of complexity of information fusion applications. Information fusion is recast as a cognitive application using dynamic structure building and constraint reasoning. The similarity between situation awareness and an undirected structure responding to change is highlighted. The efficiency and speed of operation of cognitive information fusion are touched on. A tsunami warning system provides an example which involves multiple threat and demonstrates the difference between segmented algorithms making decisions without context, and the active use of knowledge.

关键词： non-algorithmic undirected constraint reasoning active structure self-modifiable dynamically extensible cognitive core

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