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

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Merging of range images for inspection or safety applications

Merging of range images for inspection or safety application...

引用

conference on Two- and Three-Dimensional Methods for Inspection and Metrology vi

作者： Mure-Dubois, James Huegli, Heinz Univ Neuchatel Inst Microtechnol CH-2000 Neuchatel Switzerland

ISBN: (纸本)9780819472861

Range imagers provide useful information for part inspection, robot control, or human safety applications in industrial environments. However, some applications may require more information than range data from a single viewpoint. Therefore, multiple range images must be combined to create a three-dimensional representation of the scene. Although simple in its principle, this operation is not straightforward to implement in industrial systems, since each range image is affected by noise. In this paper, we present two specific applications where merging of range images must be performed. We use the same processing pipeline for both applications : conversion from range image to point clouds, elimination of degrees of freedom between different clouds, validation of the merged results. Nevertheless, each step in this pipeline requires dedicated algorithms for our example applications. The first application is high resolution inspection of large parts, where many range images are acquired sequentially and merged in a post-processing step, allowing to create a virtual model of the part observed, typically larger than the instrument's field of view. The key requirement in this application is high accuracy for the merging of multiple point clouds. The second application discussed is human safety in a human/robot environment: range images are used to ensure that no human is present in the robot's zone of operation, and can trigger the robot's emergency shutdown when needed. In this case, range image merging is required to avoid uncertainties due to occlusions. The key requirement here is real-time operation, namely the merging operation should not introduce a, significant latency in the data processing pipeline. For both application cases, the improvements brought, by merging multiple range images are clearly illustrated.

关键词： 3D vision range imaging sensor fusion calibration high resolution inspection time of flight RANSAC

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Experimental characterization of synchronization protocols for wireless networks

Experimental characterization of synchronization protocols f...

引用

IEEE International Symposium on virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS)

作者： M. De Santo L. Ferrigno V. Paciello A. Pietrosanto DIIIE University of Salerno Fisciano SA Italy DAEIMI University of Cassino Cassino FR Italy

Nowadays more and more measurement applications where sensor nodes cooperate to realize a data fusion process are entrusted to wireless sensor networks (WSN). Data fusion to be accurate requires that nodes be referred to a common clock and among themselves. In this scenario node synchronization got a crucial research topic and even sophisticated synchronization algorithms can be easily found in literature. Not a few others show to be especially designed for low cost, low memory and low power architectures. Their performance is usually evaluated either through analytical considerations or in simulation environments, but in some cases where ad hoc radio systems have been adopted. This paper makes a first step toward an experimental characterization of synchronization protocols that hold into account also influence factors which arise when commercial wireless communication busses as WiFi, BlueTooth (BT), ZigBee are adopted.

关键词： Synchronization Wireless communication Wireless sensor networks Ad hoc networks Protocols Instruments Probability density function

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

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

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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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The application of image processing techniques and technology for security and surveillance applications

The application of image processing techniques and technolog...

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conference on sensors, and Command, Control, Communications and Intelligence (C31) Technologies for Homeland Security and Homeland Defense vi

作者： Smith, Moira I. Hickman, Duncan Waterfall Solut Ltd Guildford GU2 9JX Surrey England

ISBN: (纸本)9780819466600

The range and scope of EO/IR sensor systems within security and surveillance applications is growing, and this places a corresponding demand on the image processing functionality required to meet the end-users' needs and requirements. Within this paper, the application of different image processing architectures and techniques is reviewed in terms of situational awareness criteria and is illustrated through specific system applications. The concepts and benefits of multimodal and distributed sensor systems are also considered together with the attendant data registration and fusion techniques. Finally, the exploitation of a priori information within the integrated security and surveillance picture is considered from both a processing technology and image display perspective.

关键词： Image processing sensors Image fusion Imaging systems Image registration Image sensors Surveillance Image enhancement Algorithm development Image quality

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Multi-sensor detection and fusion technique

Multi-sensor detection and fusion technique

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conference on Multisensor, Multisource Information fusion

作者： Bhargave, Ashish Arnbrose, Barry Lin, Freddie Kazantzidis, Manthos Broadata Commun Inc Torrance CA USA

ISBN: (纸本)9780819466938

A multi-sensor detection and fusion technology is described in this paper. The system consist of inputs from three sensors, Infra Red, Doppler Motion, and Stereo video. This choice of sensors is designed to give high reliability, infra red and Doppler to provide detection ability at night, stereo video has the ability to analyze depth and range information. The combination of these sensors has the ability to provide high probability of detection and very low false alarm rate. The technique consists of three processing parts corresponding to each sensor data, and a fusion module, which makes the final decision based on the inputs from the three parts. The signal processing and detection algorithms process the inputs from each sensors and provides a specific information to the fusion module. fusion module is based on bayes belief propagation theory. It takes the processed inputs from all the sensor modules and provides a final decision on the presence and absense of objects, as well as their reliability based on the iterative belief propagation algorithm operating on decision graphs. A prototype system was built using the technique to study the feasibility of intrusion detection for NASA's launch danger zone protection. The system verified the potential of the proposed algorithms and proved the feasibility of high probability of detection and low false alarm rates compared to many existing techniques.

关键词： sensors video Detection and tracking algorithms Image processing Doppler effect Prototyping Signal processing Infrared sensors Surveillance video surveillance

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Real-time EO/IR sensor fusion on a portable computer and head mounted display

Real-time EO/IR sensor fusion on a portable computer and hea...

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conference on Multisensor, Multisource Information fusion

作者： Yue, Zhanfeng Topiwala, Pankaj LLC FastVDO 7150 Riverwood Dr Columbia MD 21046 USA

ISBN: (纸本)9780819466938

Multi-sensor platforms are widely used in surveillance video systems for both military and civilian applications. The complimentary nature of different types of sensors (e.g. EO and IR sensors) makes it possible to observe the scene under almost any condition (day/night/fog/smoke). In this paper, we propose an innovative EO/IR sensor registration and fusion algorithm which runs real-time on a portable computing unit with head-mounted display. The EO/IR sensor suite is mounted on a helmet for a dismounted soldier and the fused scene is shown in the goggle display upon the processing on a portable computing unit. The linear homography transformation between images from the two sensors is pre-computed for the mid-to-far scene, which reduces the computational cost for the online calibration of the sensors. The system is implemented in a highly optimized C++ code, with MMX/SSE, and performing a real-time registration. The experimental results on real captured video show the system works very well both in speed and in performance.

关键词： real-time sensor fusion homography

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Multi sensor fusion of images for target identification

Multi sensor fusion of images for target identification

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conference on Multisensor, Multisource Information fusion

作者： Muthukumar, A. Anitha, G. Shanmugam, J. Madras Inst Technol Dept Elect Engn Div Avion Madras Tamil Nadu India

ISBN: (纸本)9780819466938

Multisensor data fusion is an emerging technology applied to defense and non-defense applications. In this paper, a image fusion algorithm using different texture parameters is proposed to identify long-range targets. The method uses a semi-supervised approach for detecting single target from the input images. The procedure consists of three steps: Feature extraction, Feature level fusion and sensor level fusion. In this study, two methods of texture feature extraction using co-occurrence matrix and run-length matrix are considered. Texture parameters are calculated at each pixel of the selected training image, and target non-target pixels identified manually. Some of the texture features calculated at the target position differ from those in the background. Discriminant analysis is used to perform feature level fusion on the training image, which classify target and non-target pixels. By applying the discriminant function to the feature space of textural parameters, a new image is created. The maxima of this image correspond to target point. The same discriminant function can be applied to the other images for detecting the trained targets regions. sensor level fusion combines images obtained from feature level fusion of visual and IR images. The method was first tested with synthetically generated images and then with real images. Results are obtained using both co-occurrence and run-length method of texture feature extraction for target identification.

关键词： image fusion texture features discriminant analysis

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Operating condition modeling for ATR fusion assessment

Operating condition modeling for ATR fusion assessment

引用

conference on Multisensor, Multisource Information fusion

作者： Kahler, Bart Blasch, Erik Goodwon, Lloyd Gen Dynam Corp Dayton OH 45431 USA AFRL SNA Wright Patterson AFB OH 45433 USA

ISBN: (纸本)9780819466938

Real world Operating Conditions (OCs) influence sensor data that in turn affects the performance of target detection and identification systems utilizing the collected information. The impact of operating conditions on collected data is widely accepted, but not fully characterized. OCs that affect data depend on sensor wavelength and associated scenario phenomenology, and can vary significantly between electro-optical (EO), infrared (IR), and radar sensors. This paper will discuss what operating conditions might be modeled for each sensor type and how they could affect automatic target recognition (ATR) systems designed to exploit their respective sensory data. The OCs are broken out into four categories;sensor, environment, target, and ATR algorithm training. These main categories will further contain subcategories with varying levels of influence. The purpose of this work is to develop an OC distribution model for the "real world" that can be used to realistically represent the performance of multiple ATR systems, and ultimately the decision made from the fused ATR results. An accurate OC model will greatly enhance the performance assessment of ATR and fusion systems by affording Bayesian conditioning in fusion performance analysis and aiding in the sensitivity analysis of fusion performance over different operational conditions. Accurate OC models will also be useful in the fusion algorithm operation.

关键词： EO IR SAR radar ATR operating conditions OCs fusion detection identification

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A full-scale prototype multisensor system for fire detection and situational awareness

A full-scale prototype multisensor system for fire detection...

引用

conference on Multisensor, Multisource Information fusion

作者： Minor, Christian P. Johnson, Kevin J. Rose-Pehrsson, Susan L. Owrutsky, Jeffrey C. Wales, Stephen C. Steinhurst, Daniel A. Gottuk, Daniel T. Novo Res Inc 1900 Eikin StSuite 230 Alexandria VA 22308 USA US Naval Res Lab Washington DC 20375 USA Hughes Associates Inc Baltimore MD 21227 USA

ISBN: (纸本)9780819466938

A data fusion-based, multisensory detection system, called "Volume sensor", was developed under the Advanced Damage Countermeasures (ADC) portion of the US Navy's Future Naval Capabilities program (FNC) to meet reduced manning goals. A diverse group of sensing modalities was chosen to provide an automated damage control monitoring capability that could be constructed at a relatively low cost and also easily integrated into existing ship infrastructure. Volume sensor employs an efficient, scalable, and adaptable design framework that can serve as a template for heterogeneous sensor network integration for situational awareness. In the development of Volume sensor, a number of challenges were addressed and met with solutions that are applicable to heterogeneous sensor networks of any type. These solutions include: 1) a uniform, but general format for encapsulating sensor data, 2) a communications protocol for the transfer of sensor data and command and control of networked sensor systems, 3) the development of event specific data fusion algorithms, and 4) the design and implementation of modular and scalable system architecture. In full-scale testing on a shipboard environment, two prototype Volume sensor systems demonstrated the capability to provide highly accurate and timely situational awareness regarding damage control events while simultaneously imparting a negligible footprint on the ship's 100 Mbps Ethernet network and maintaining smooth and reliable operation in a real-time fashion.

关键词： fire detection flood detection multisensor multicriteria data fusion multivariate analysis video sensor audio sensor spectral sensor sensor network

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Prospects for dynamic ISR tasking and interpretation based on standing orders to sensor networks

Prospects for dynamic ISR tasking and interpretation based o...

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conference on Multisensor, Multisource Information fusion

作者： Pantaleev, Aleksandar Josephson, John R. Ohio State Univ Artificial Intelligence Res Lab Dept Comp Sci & Engn Columbus OH 43210 USA

ISBN: (纸本)9780819466938

This research is intended to contribute to the development of automated and human-in-the-loop systems for higher level fusion to respond to the information requirements of command decision making. In tactical situations with short time constraints, the analysis of information requirements may take place in advance for certain classes of problems, and provided to commanders and their staff as part of the control and communications systems that come with sensor networks. In particular, it may be possible that certain standing orders can assume the role of Priority Intelligence Requirements. Standing orders to a sensor network are analogous to standing orders to Soldiers. Trained Soldiers presumably don't need to be told to report contact with hostiles, for example, or to report any sighting of civilians with weapons. Such standing orders define design goals and engineering requirements for sensor networks and their control and inference systems. Since such standing orders can be defined in advance for a class of situations, they minimize the need for situation-specific human analysis. Thus, standing orders should be able to drive automatic control of some network functions, automated fusion of sensor reports, and automated dissemination of fused information. We define example standing orders, and outline an algorithm for responding to one of them based on our experience in the field of multisensor fusion.

关键词： standing orders PIRs automated fusion sensor networks multisensor fusion

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