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检索条件"主题词=change detection algorithms"

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An assistive robotic device that can synchronize to the pelvic motion during human gait training

An assistive robotic device that can synchronize to the pelv...

引用

IEEE International Conference on Rehabilitation Robotics (ICORR)

作者： D. Aoyagi W.E. Ichinose S.J. Harkema D.J. Reinkensmeyer J.E. Bobrow Department of Mechanical and Aerospace Engineering University of California Irvine USA Department of Neurology Brain Research Institute University of California Los Angeles USA

We are developing a robotic device, PAM (pelvic assist manipulator), that assists the pelvic motion during human gait training on a treadmill. PAM allows naturalistic motion of pelvis actuated by six pneumatic cylinders, which, combined with a nonlinear force-tracking controller, provide backdrivability and large force output at a relatively low cost. PAM can act as a teach-and-replay device with a PD position controller driving the pelvis onto the reference trajectory specified with or without the help of therapists. During initial experiments with unimpaired subjects, we encountered a problem in which the subjects had difficulty synchronizing their movements with the gait pattern reproduced by PAM, even though that gait pattern had been sampled from the subjects themselves. We introduced footswitches to detect the gait timing and developed a feedback control algorithm that adjusts the play-back speed of the gait pattern in real-time. The feedback algorithm is presented, along with data that shows the effectiveness of the algorithm in synchronizing the robotic assistance during stepping by unimpaired subjects, even when the subjects change their step size and period.

关键词： Robots Humans change detection algorithms Pelvis Manipulators Force control Motion control Costs PD control Timing

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detection of a reflective layer in a random layered medium using time reversal [acoustic measurement method]

Detection of a reflective layer in a random layered medium u...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： O.V. Poliannikov J.-P. Fouque Department of Mathematics North Carolina State University Raleigh NC USA

We propose a method of detecting a reflective layer in a layered random medium using the time reversal of an acoustic wave. Comparing the refocused signal with the original probing pulse enables us to detect a change it the medium's acoustic properties. The depth of the reflector is pinpointed even in the absence of a direct coherent reflection. We present experimental results validating the proposed algorithm.

关键词： Acoustic signal detection Acoustic pulses Acoustic reflection Acoustic waves Pulse generation Mathematics change detection algorithms Landmine detection Earth Humans

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Earthquake damage identification using multi-temporal high-resolution optical satellite imagery

Earthquake damage identification using multi-temporal high-r...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： E.M. Rathje Kyu-Seok Woo M. Crawford A. Neuenschwander Department of Civil Architectural and Environmental Engineering University of Technology Austin TX USA Center for Space Research University of Technology Austin TX USA

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Real-time reasoning: the case of surveillance systems

Real-time reasoning: the case of surveillance systems

引用

International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： D. Micucci M. Oldani F. Tisato DIS Company-Universita Degli Studi di Milano-Bicocca Milan Italy

The paper presents a layered architecture for real-time surveillance systems. Each layer includes objects that model the "real world" at a specific abstraction level, from raw data up to domain concepts. Each layer performs abstractions on perceptions coming from the lower layer and formulates timed hypotheses about domain objects. The failure of a hypothesis causes a perception to flow up-stream. In turn, hypotheses flow down-stream, so that their verification is delegated to the lower layers. The proposed architectural patterns have been reified in a Java framework, which has been used in an experimental multi-camera tracking system

关键词： Real time systems Computer aided software engineering Surveillance Image processing Software algorithms Java Humans Traffic control Road accidents change detection algorithms

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Tracking motion objects in infrared videos

Tracking motion objects in infrared videos

引用

IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： L.J. Latecki R. Miezianko D. Pokrajac Temple University USA Delaware State University USA

We propose motion detection and object tracking method that is particularly suitable for infrared videos. detection of moving objects in infrared videos is based on changing texture in parts of the view field. We estimate the speed of texture change by measuring the spread of texture vectors in the texture space. This method allows us to robustly detect very fast and very slow moving object. Our theoretical and experimental results show that the proposed method significantly outperforms the Stauffer-Grimson approach based on Gaussian mixture model. We observe that the proposed method does not require any post-processing, which is a necessary step for the Stauffer-Grimson approach. Moreover, the object tracking is improved when based on the spatiotemporal texture blocks.

关键词： Tracking Motion detection Infrared detectors Spatiotemporal phenomena Object detection Velocity measurement Gaussian distribution change detection algorithms Video sequences Robustness

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Anomaly intrusion detection for system call using the soundex algorithm and neural networks

Anomaly intrusion detection for system call using the sounde...

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IEEE Symposium on Computers and Communications (ISCC)

作者： ByungRae Cha B. Vaidya Seungjo Han Department of Computer Engineering Honam University South Korea Department of Electronics & Computer Engineering Tribhuvan University Nepal Department of Information & Communication Engineering Chosun University South Korea

To improve the anomaly intrusion detection system using system calls, this study focuses on supervisor learning neural networks using the soundex algorithm which is designed to change feature selection and variable length data into a fixed length learning pattern. That is, by changing variable length sequential system call data into a fixed length behavior pattern using the soundex algorithm, this study conducted neural learning by using a backpropagation algorithm. The proposed method and N-gram technique are applied for anomaly intrusion detection of system call using sendmail data of UNM to demonstrate its performance.

关键词： Intrusion detection Neural networks Computer networks Backpropagation algorithms Frequency change detection algorithms Databases Machine learning Data mining Automata

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OFDM Blind Parameter Identification in Cognitive Radios

OFDM Blind Parameter Identification in Cognitive Radios

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Ishii Wornell Massachusetts Institute of Technology Cambridge MA USA

In this paper we introduce a blind parameter identification algorithm for orthogonal frequency division multiplexing (OFDM) signals. The algorithm correlation-based processes automatically estimate all parameters of OFDM signals with a blind process that works from a limited amount of data without any prior information. We also derive novel identification performances of algorithms under various conditions, assuming actual conditions in feasible systems: data offset, AWGN, frequency offset, and fading channels. The algorithm is essential for two systems: first, cognitive radios, one of the most exciting being radios that change fundamental parameters frequently to provide high throughput and high quality of services; and, second, radio monitoring systems that detect illegal signals transmitted by unlicensed devices

关键词： OFDM Parameter estimation Cognitive radio Signal processing Radiofrequency identification AWGN Fading change detection algorithms Throughput Quality of service

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Visualization of self-stabilizing distributed algorithms

Visualization of self-stabilizing distributed algorithms

引用

International Conference on Information Visualisation (IV)

作者： B. Hamid M. Mosbah LaBRI ENSEIRB-University of Bordeaux-1 Talence France

In this paper, we present a method to build an homogeneous and interactive visualization of self-stabilizing distributed algorithms using Visidia platform. The approach developed in this work allows to simulate the transient failures and their correction mechanism. We use local computations to encode self-stabilizing algorithms like the distributed algorithms implemented in Visidia. The resulting interface is able to select some processes and incorrectly change their states to show the transient failures. The system detects and corrects these transient failures by applying correction rules. Many examples of self-stabilizing distributed algorithms are implemented.

关键词： Visualization Distributed algorithms Distributed computing Computational modeling Education Animation change detection algorithms Fault tolerant systems Algorithm design and analysis Software systems

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Project polar epsilon: joint space-based wide area surveillance and support capability

Project polar epsilon: joint space-based wide area surveilla...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： M.P.J. Butler Directorate of Space Development National Defence Headquarters Ottawa ONT Canada

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Compressed-domain fall incident detection for intelligent home surveillance

Compressed-domain fall incident detection for intelligent ho...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Chia-Wen Lin Zhi-Hong Ling Yuan-Cheng Chang C.J. Kuo Department Computer Science & Information Engineering National Chung Cheng University Chiayi Taiwan Component Business Group Delta Electronics Inc. Taoyuan Taiwan

ISBN: (纸本)0780388348

This paper presents a compressed-domain fall incident detection scheme for intelligent home surveillance applications. For object extraction, global motion parameters are estimated to distinguish local object motions and camera motions so as to obtain a rough object mask. Then, we perform change detection and/or background subtraction on the DC+2AC images extracted from the incoming coded bitstream to refine the object mask. Subsequently, an object clustering algorithm is used to automatically extract the individual video objects iteratively. After detecting the moving objects, compressed-domain features of each object are then extracted for identifying and locating fall incident. Our experiments show that the proposed method can correctly detect fall incidents in real time.

关键词： Surveillance Image coding Object detection Motion estimation Parameter estimation Cameras change detection algorithms Clustering algorithms Iterative algorithms Video compression

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