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检索条件"主题词=change detection algorithms"

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Neural Network Based Tracking of Maneuvering Unmanned Aerial Vehicles

Neural Network Based Tracking of Maneuvering Unmanned Aerial...

引用

Asilomar Conference on Signals, Systems & Computers

作者： Priyanka Sinha Hamid Krim Ismail Guvenc Department of Electrical and Computer Engineering North Carolina State University Raleigh NC

The motion model of an unmanned aerial vehicle (UAV) is a time-varying function that is often unknown to the tracking entity, which makes accurate tracking of highly maneuvering UAVs a challenging problem. Most state-of-the-art tracking techniques employ a fixed set of parametric models that approximate the possible maneuvers along the target trajectory to a reasonable accuracy. However, such predetermined motion models might not be adequate for frequent and aggressive maneuvers performed by small UAVs. To this end, we build a data driven adaptive filtering algorithm that improves the tracking accuracy by using a recurrent neural network (RNN)-based motion model that is trained on realistic simulated data generated from a medium fidelity simulink model of a fixed-wing UAV. We then train another feed-forward neural network in conjunction with the pretrained RNN-based motion model, to adaptively combine the incoming current measurement with the predicted state based on the output of a change detection algorithm that detects any increase/decrease in the uncertainty in the predicted states. Our analysis and results show that the proposed tracking algorithm outperforms the state-of-the-art interactive multiple model (IMM) algorithm for highly maneuvering trajectories.

关键词： Adaptation models Target tracking Adaptive systems change detection algorithms Computational modeling Filtering algorithms Autonomous aerial vehicles

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Dynamic Bayesian networks for machine diagnostics: hierarchical hidden Markov models vs. competitive learning

Dynamic Bayesian networks for machine diagnostics: hierarchi...

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International Joint Conference on Neural Networks (IJCNN)

作者： F. Camci R.B. Chinnam Department of Industrial & Manufacturing Engineering Wayne State University Detroit MI USA

The failure mechanisms of mechanical systems usually involve several degraded health states. Tracking the health state of a machine, even if the machine is working properly, is very critical for detecting, identifying, and localizing the failure (i.e., diagnosis) and estimating the remaining-useful-life of the component/machine (i.e., prognosis) for carrying out proper maintenance. Hidden Markov models (HMM) present us an opportunity to estimate these unobservable health states using observable sensor signals. Hierarchical HMM is composed of sub-HMMs in a hierarchical fashion, providing functionality beyond a HMM for modeling complex systems. Implementation of HMM based models as dynamic Bayesian networks (DBN) facilitates compact representation as well as additional flexibility with regard to model structure. Regular and hierarchical HMMs are employed here to estimate on-line the health state of drill-bits as they deteriorate with use on a CNC drilling machine. In the case of regular HMMs, each HMM (that is part of a committee) competes to represent a distinct health state and learns through competitive learning. In the case of hierarchical HMMs, health states are represented as distinct nodes in the top of the hierarchy. Detailed results from regular and hierarchical HMMs are very promising and are reported in this paper.

关键词： Bayesian methods Hidden Markov models Machine learning Automatic speech recognition State estimation Stochastic processes Failure analysis Mechanical systems Degradation change detection algorithms

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Group motion segmentation using a Spatio-Temporal Driving Force Model

Group motion segmentation using a Spatio-Temporal Driving Fo...

引用

Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Ruonan Li Rama Chellappa Department of Electrical and Computer Engineering and Center for Automation Research UMIACS University of Maryland College Park MD USA

We consider the `group motion segmentation' problem and provide a solution for it. The group motion segmentation problem aims at analyzing motion trajectories of multiple objects in video and finding among them the ones involved in a `group motion pattern'. This problem is motivated by and serves as the basis for the `multi-object activity recognition' problem, which is currently an active research topic in event analysis and activity recognition. Specifically, we learn a Spatio-Temporal Driving Force Model to characterize a group motion pattern and design an approach for segmenting the group motion. We illustrate the approach using videos of American football plays, where we identify the offensive players, who follow an offensive motion pattern, from motions of all players in the field. Experiments using GaTech Football Play Dataset validate the effectiveness of the segmentation algorithm.

关键词： Motion segmentation Computer vision Motion analysis Pattern analysis Pattern recognition Automation Educational institutions change detection algorithms Motion detection Legged locomotion

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New adaptive tracking algorithm of non-rigid objects

New adaptive tracking algorithm of non-rigid objects

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International Conference on Signal Processing Proceedings (ICSP)

作者： Ruan Qiuqi Guan Haiying Institute of Information Science Northern Jiaotong University Beijing China

We describe a contour tracking method based on the Hausdorff distance to track non-rigid objects moving in two-dimensional images. The method operates by extracting two-dimensional templates of the non-rigid objects which vary from one frame to the next, from a sequence of images. The main idea of this method is to decompose the variation of the non-rigid object contours in space into two components: two-dimensional shape changes and two-dimensional motions. The two-dimensional motion components are factored out by the match of the next frame image with the templates which are transformed by a group of transformations such as translation, scaling, and rotation. The two-dimensional shape change components are achieved by setting a proper threshold to allow some biases, so the template adaptability is improved. The two major assumptions underlying the method are: the two-dimensional motions are in the scope of the images; the two-dimensional shape of the objects will change slowly from one frame to the next. Combined with the pyramid algorithm and zero-crossing detection algorithm, experiments conducted on human contour tracking are reported.

关键词： Tracking change detection algorithms Object detection Kernel Military computing Shape measurement Information science Data mining detection algorithms Humans

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Optimal cooperative placement of GMTI UAVs for ground target tracking

Optimal cooperative placement of GMTI UAVs for ground target...

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IEEE Conference on Aerospace

作者： A. Sinha T. Kirubarajan Y. Bar-Shalomb Electrical and Computer Engineering Dept. McMaster University Hamilton CT USA Electrical and Computer Engineering Dept. McMaster University CT USA

With the recent advent of moderate-cost unmanned (or uninhabited) aerial vehicles (UAV) and their success in surveillance, it is natural to consider the cooperative management of groups of UAVs. The problem considered in this paper is the optimization of the information obtained by a group of UAVs carrying out surveillance of several ground targets distributed over a large area. The UAVs are assumed to be equipped with ground moving target indicator (GMTI) radars, which measure the locations of moving ground targets as well as their radial velocities. In this research, the Fisher information, obtained from the information form of Riccati equation, is used in the objective function. Sensor survival probability and target detection probability for each target-sensor pair are also included in the objective function. The optimal sensor placement problem is solved by a combination of deterministic as well as randomized optimization. Simulation results on two different scenarios are presented for four different types of prior information.

关键词： Unmanned aerial vehicles Target tracking Radar tracking Surveillance Radar measurements Velocity measurement Riccati equations change detection algorithms Automotive engineering Object detection

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A client-server oriented algorithm for virtually synchronous group membership in WANs

A client-server oriented algorithm for virtually synchronous...

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International Conference on Distributed Computing Systems

作者： I. Keidar J. Sussman K. Marzullo D. Dolev Lab for Computer Science Massachusetts Institute of Technology Department of Computer Science and Engineering University of California San Diego USA Computer Science Institute Hebrew University of Jerusalem Israel

We describe a novel scalable group membership service designed explicitly for wide area networks. Our membership service is scalable in the number of groups supported, in the number of members in each group, and in the topology each group spans. Our service also supplies the hooks needed to provide clients with full virtual synchrony semantics. Our service attains, on average, a low message overhead by agreeing on membership within a single message round. Furthermore, our service avoids notifying the application of obsolete membership views when the network is unstable, yet it converges when the network has stabilized.

关键词： Wide area networks Computer science change detection algorithms Design engineering Algorithm design and analysis Network topology Interleaved codes Contracts Fault tolerant systems Maintenance

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Research on the Application of Computer Big Data Technology in Garden Plant Health Monitoring

Research on the Application of Computer Big Data Technology ...

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Telecommunications and Power Electronics (TELEPE), International Conference on

作者： Hairong Tang Xiaoming Liu Biological Engineering Department Jieyang Polytechnic Jieyang Guangdong China

ISBN: (数字)9798350369212

ISBN: (纸本)9798350380002

A set of remote sensing monitoring methods suitable for urban terrain and landforms was established. Through multi-period remote sensing image data, spatial location, emission time and emission intensity are decoupled. By integrating the one-dimensional water quality diffusion model with tracer test data, a new method for traceability analysis of explosive water pollution accidents based on fluorescence was constructed. During the solution process, the monitoring data is divided into a training set and an experimental set. The improved firefly algorithm is used to adjust the hydrological parameters of the river through the training set data. Experiments are performed on local images in the Landsat5TM database. It is verified that the accuracy of the proposed algorithm can reach 90.77%, and the operation speed is faster. Compared with traditional post-classification techniques for change detection analysis, our system has higher performance and recognition accuracy with lower computing time. The prevention and control of sudden pollution accidents in rivers in China.

关键词： Training Accuracy change detection algorithms Surface contamination Land surface Water pollution Rivers Monitoring Remote sensing Geographic information systems

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Where’s Waldo? practical searches for stability in iBGP

Where’s Waldo? practical searches for stability in iBGP

引用

International Conference on Network Protocols

作者： Ashley Flavel Matthew Roughan Nigel Bean Aman Shaikh School of Mathematical Sciences University of Adelaide Australia AT and T Research Laboratories USA

What does a childpsilas search of a large, complex cartoon for the eponymous character (Waldo) have to do with Internet routing? Network operators also search complex datasets, but Waldo is the least of their worries. Routing oscillation is a much greater concern. Networks can be designed to avoid routing oscillation, but the approaches so far proposed unnecessarily reduce the configuration flexibility. More importantly, apparently minor changes to a configuration can lead to instability. Verification of network stability is therefore an important task, but unlike the childpsilas search, this problem is NP hard. Until now, no practical method was available for large networks. In this paper, we present an efficient algorithm for proving stability of iBGP, or finding the potential oscillatory modes, and demonstrate its efficacy by applying it to the iBGP configuration of a large Tier-2 AS.

关键词： Stability Routing Guidelines change detection algorithms Internet Degradation Graph theory Protocols Time measurement Performance analysis

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A P2P-Based Distributed detection Scheme against DDoS Attack

A P2P-Based Distributed Detection Scheme against DDoS Attack

引用

International Workshop on Education Technology and Computer Science, ETCS

作者： Zaihong Zhou Dongqing Xie Wei Xiong School of Computer and Communications Hunan University Changsha China School of Computer Science and Educational Software Guangzhou University Guangzhou China

The distributed hosts in the Internet are organized into a P2P network by chord protocol for detection. The detection node uses the CUSUMpsilas sensitivity to the slight change to detect the change in the amount of packets to destination address. Upon the abnormality detected, it is broadcast based on the node trust. The response nodes use space similarity algorithm to calculate the similarity between request node and response node. The victim end makes a comprehensive decision whether the DDoS attack *** scheme detects DDoS at the source end; it can prevent the DDoS attack by means of forged IP address and random IP address and trace the origin of the attack hosts. The experimental results indicate that our scheme has better performance than CUSUM and time similarity algorithm single deployed. It can reach as high as 96.1% detection rate and with only 6.9% false positives rate.

关键词： Computer crime Broadcasting change detection algorithms Protocols Scalability Computer science Computer networks Distributed computing IP networks detection algorithms

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Videoabstract: a hybrid approach to generate semantically meaningful video summaries

Videoabstract: a hybrid approach to generate semantically me...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： C. Toklu S.-P. Liou M. Das Multimedia & Video Technology Department Siemens Corporate Research Inc. Princeton NJ USA Department of Computer Science University of Massachusetts Amherst MA USA

Video summarization is a key component in providing Internet users a way to quickly browse a video clip in different levels of detail, without the need to view the entire video clip. We present a hybrid approach to video summary generation, which automatically process the video, creating a multimedia video summary, while providing easy-to-use interfaces for verification, correction, and augmentation of the automatically generated story segments and extracted multimedia content. algorithms are developed to solve the sub-problems of story segmentation, story boundary refinement, and video summary generation. The use of automatic processing in conjunction with input from the user allows a user to produce meaningful video summaries efficiently.

关键词： Hybrid power systems Video compression User interfaces Data mining Image segmentation change detection algorithms Educational institutions Internet Automatic speech recognition Natural languages

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