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检索条件"主题词=detection Algorithms"

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detection of Human Skin in Near Infrared Hyperspectral Imagery

Detection of Human Skin in Near Infrared Hyperspectral Image...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Abel S. Nunez Michael J. Mendenhall Department of Electrical and Computer Engineering Air Force Institute of Technology OH USA

One of the difficulties in search and rescue missions is finding a small target, such as a person, in a large cluttered area. Airborne hyperspectral cameras are now being deployed to aid in this SAR mission. Motivated by the successes of such systems, we define a hyperspectral model of human skin in the visible and near infrared regions of the spectra so we can exploit knowledge gained during the modeling process to aid in human skin detection. Based on observations of the skin model results, an efficient and robust skin detection algorithm using channels in the near infrared region of the spectra is developed. Our algorithm is denoted the Normalized Difference Skin Index, motivated by the Normalized Difference Vegetation Index used in the literature for detecting vegetation in hyperspectral imagery. We demonstrate the capabilities of our skin detection methodology to detect skin amongst objects known to cause false detections for methodologies using three channel color data.

关键词： Infrared detectors Humans Skin Infrared imaging Hyperspectral imaging Object detection Infrared spectra Vegetation mapping Robustness detection algorithms

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Laser Based Intersection detection for Reactive Navigation in an Underground Mine

Laser Based Intersection Detection for Reactive Navigation i...

引用

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, Pages 2091-2610

作者： Johan Larsson Mathias Broxvall Alessandro Saffiotti AASS Orebro University Orebro Sweden

ISBN: (纸本)9781424420575

In this paper we propose a new feature detection algorithm to enable junction recognition intended for high speed reactive navigation in tunnel like environments. We also present an extensive experimental evaluation of the algorithm based on data recorded in a real mine. The algorithm is faster and has less environmental constraints than similar algorithms that can be found in the litterature.

关键词： algorithms Laser underground underground mines Crossing navigation REACTIVE Intersection tunnel detection algorithms Real number Environments feature detections

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Joint Iterative detection for Multi-Code MIMO-OFCDM Systems

Joint Iterative Detection for Multi-Code MIMO-OFCDM Systems

引用

IEEE International Conference on Circuits and Systems for Communications (ICCSC)

作者： Yiqing Zhou Tung-Sang Ng Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong China

This paper investigates a two-dimensionally spread orthogonal frequency and code division multiplexing (OFCDM) system with multi-code transmission and multiple input multiple output (MIMO) multiplexing, where desired data signals are interfered by not only co-channel signals from other transmit antennas (or multi-antenna interference (MAI)), but also multi- code interference (MCI) from other code channels on the same antenna. Combining the iterative detection in the space domain and the hybrid MCI cancellation and minimum mean square error (MMSE) detection in the frequency domain, a joint iterative detection algorithm is proposed to cancel out MAI and MCI. For the 0 th loop of the joint iterative detection, a 2-stage hybrid detection is needed in the frequency domain, while for later loops, a 0-stage hybrid detection or pure MMSE is sufficient. The system performance improves as the number of loops in the joint iterative detection increases. Moreover, using joint iterative detection, larger frequency diversity gain can be achieved and the performance improves as the frequency domain spreading factor increases.

关键词： Frequency domain analysis Code division multiplexing OFDM MIMO Transmitting antennas Multiple access interference Mean square error methods detection algorithms System performance Frequency diversity

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detection of QRS Complexes Based on Biorthogonal Spline Wavelet

Detection of QRS Complexes Based on Biorthogonal Spline Wave...

引用

International Symposium on Information Science and Engineering, ISISE

作者： Xiuyu Zheng Zhen Li LinLin Shen Zhen Ji Texas Instruments DSPs Laboratory Shenzhen University Shenzhen China College of Information Engineering Shenzhen University Shenzhen China

Biorthogonal spline wavelet is used to detect the QRS complex of ECG signal. Mallat algorithm is applied in the decomposition of ECG signal by using the equivalent filter of a biorthogonal spline wavelet. Lipschitz exponent is introduced to investigate the relationship between the signal singularity (R Peak) and the zero-crossing point of the modulus maximum pair of the signal's wavelet transform. Adaptive threshold, refractory period and expiating are applied to improve the anti-interference performance. Experimental results demonstrated that this method is robust against time varying characteristics of QRS complex and noise. A correct detection rate of 99.905% has been achieved when the MIT-BIH arrhythmia database is used to test the proposed QRS complex detection algorithm.

关键词： Spline Electrocardiography Filters Instruments Digital signal processing Wavelet transforms Noise robustness Databases detection algorithms Signal analysis

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Operator-Centric and Adaptive Intrusion detection

Operator-Centric and Adaptive Intrusion Detection

引用

International Symposium on Information Assurance and Security (IAS)

作者： Ulf E. Larson Stefan Lindskog Dennis K. Nilsson Erland Jonsson Department of Computer Science and Engineering Chalmers University of Technology Goteborg Sweden Centre for Quantifiable Quality of Service Communication Systems Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9780769533247

An intrusion detection system should support the operator of the system. Thus, in addition to producing alerts, it should allow for easy insertion of new detection algorithms. It should also support dynamic selection and de-selection of detection algorithms, and it should adjust its resource consumption to the current need. Such a system would allow the operator to easily extend the system when new detection algorithms become available. It would also allow the operator to maintain a low-cost monitoring baseline and perform more extensive monitoring when it is required. In this paper we propose an architecture for intrusion detection which aims at providing the operator with this support. The architecture uses a modular design to promote a high degree of flexibility. This supports creation of an environment in which state-of-the-art intrusion detection algorithms easily can be inserted. The modular design also allows for detection algorithms to be enabled and disabled when required. Additionally, the architecture uses a sensor reconfiguration mechanism to affect the amount of data collected. When a detection algorithm is enabled or disabled, the sensor providing the input data to the algorithm is correspondingly reconfigured. This implies a minimum of excess collected data. To illustrate the feasibility of the architecture, we provide a proof - of-concept supporting monitoring of users for insider detection and webserver monitoring for intrusion attempts.

关键词： Monitoring Data mining Intrusion detection Detectors detection algorithms Computer architecture Organizations

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Military Targets Endpoint detection Based on Gray Correlation Analysis

Military Targets Endpoint Detection Based on Gray Correlatio...

引用

International Conference on Innovative Computing, Information and Control (ICICIC)

作者： Shengliang Hu Yaobo Li Zhifeng Cheng Gong Chen Electronic Engineering College Naval University of Engineering Wuhan China Department of Weaponry Eng Naval University of Engineering Wuhan China Department of Electronic Information Engineering Institute Communications Engineering People''s Liberation Army University of Science and Technology Nanjing China

To real-time classify military target signal and noise under non-stationary non-Gauss noise effectively, an edge detection method based on gray correlation analysis algorithm is proposed through analyzing ZCR LPC feature from military target signal. Simulation results indicate detection rate reached 100% under the clean acoustic signal and more than 80% corresponding the noise level of -5 dB. This algorithm is effective under non-stationary non-Gauss noise and the detection efficiency and performance are superior to other algorithms.

关键词： Correlation Acoustics Noise Signal to noise ratio Algorithm design and analysis detection algorithms Noise measurement

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detection Algorithm of Life Signals Based on Wavelet Transform

Detection Algorithm of Life Signals Based on Wavelet Transfo...

引用

International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Baohua Zhang Jianjun Li School of Information Engineering Inner MongoliaUniversity of Science & Technology BaoTou city China014010

Life detection radar is a sort of initiative life detection equipment with extensive uses. A colored Gaussian noise model and a harmonic signal are proposed by analyzing the experimental data in this paper. The capability compare is done between wavelet filter and FIR filter about the suppression of clutter and detection of signals, the experimental signals have characters of low-frequency, semi-periods, and low SNR.. The results show the delay of wavelet filter is shorter than FIR filter and SNR is improved, so new algorithm is much validity and stability.

关键词： detection algorithms Wavelet transforms Finite impulse response filter Radar detection Radar equipment Gaussian noise Power harmonic filters Data analysis Harmonic analysis Signal analysis

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detection of H.264 Shot Change Using Intra Predicted Direction

Detection of H.264 Shot Change Using Intra Predicted Directi...

引用

International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Tien-Ying Kuo Yi-Chung Lo Department of Electrical Engineering National Taipei University of Technology Taiwan

In this work, we proposed a shot-change detection algorithm for intra-frames of H.264/AVC compressed video. The traditional video codec, such as MPEG-1, 2, H.261 or H.263, transforms the macroblocks of intra-frames into DCT domain, but H.264/AVC video codec requires the intra prediction process prior to DCT processing, therefore DCT coefficients of H.264/AVC represent differently from those of the traditional codec. The past algorithms of shot change detection using DCT coefficients are not suitable for H.264/AVC any more. In this paper, we compare the statistical distribution of intra prediction modes with an adaptive threshold to detect the shot change. Our algorithm also combines the luma with the chroma feature to detect shot change for color video. The experimental result shows our algorithm can achieve accurate detection rate in rapid speed.

关键词： Automatic voltage control Prediction algorithms Discrete cosine transforms Image coding Change detection algorithms Signal processing algorithms detection algorithms

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Fault-tolerant event region detection in wireless sensor networks using statistical hypothesis test

Fault-tolerant event region detection in wireless sensor net...

引用

IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Donglei Cao Beihong Jin Jiannong Cao Chinese Academy of Sciences China Institute of Software Chinese Academy and Sciences Department of computing Hong Kong Polytechnic University Hung Hom Hong Kong China

Most existing algorithms for fault-tolerant event region detection only assume that events are spatially correlated, but we argue that events are usually both spatially and temporally correlated. By examining the temporal correlation of sensor measurements, we propose a detection algorithm by applying statistical hypothesis test (SHT). SHT-based algorithm is more accurate in detecting event regions, and is more energy efficient since it avoids measurement exchanges. To improve the capability of fault recognition, we extend SHT-based algorithm by examining both spatial and temporal correlations of sensor measurements. The extended SHT-based algorithm can recognize almost all faults when sensor network is densely deployed.

关键词： Algorithm design and analysis Correlation Testing detection algorithms Fault tolerance Wireless sensor networks Fault tolerant systems

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Hierarchical run time deadlock detection in process networks

Hierarchical run time deadlock detection in process networks

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IEEE Workshop on Signal Processing Systems (SIPS)

作者： Bin Jiang Ed Deprettere Bart Kienhuis Leiden Embedded Research Center Leiden University Netherlands

Deadlock detection is a well-studied problem that may be considered solved from a theoretical point of view. However, specific cases may demand for specific solutions. One such specific case is deadlock detection in Kahn Process Networks. The Kahn process network (KPN) is an expressive model of computation that is widely used to model and specify deterministic streaming applications. The processes in the network communicate point-to-point over FIFO channels whose sizes are undecidable in general. As a consequence, deadlock may occur and, therefore, a run-time deadlock detection mechanism is required. This can be organized in a centralized way, a distributed way, and a hierarchical way. Centralized and distributed procedures have been reported in the literature. In this paper, we propose a novel hierarchical approach for KPN deadlock detection at run time. We also give results for the implementation on the IBM Cell processor.

关键词： System recovery Intelligent networks Computational modeling Computer networks Runtime Concurrent computing Channel capacity detection algorithms Hardware Computer architecture

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