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检索条件"主题词=Detection algorithms"

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A performance measure of boundary detection algorithms

A performance measure of boundary detection algorithms

引用

International Conference on Pattern Recognition

作者： P.L. Palmer H.S. Dabis J. Kittler Department of Electronics and Electrical Engineering University of Surrey Guildford UK

In this paper we derive a quality measure for analysing the performance of algorithms which seek to find boundaries and boundary models between regions of differing mean grey-level value. The measure can be used to compare different approaches and, more importantly, it can also be used as a first step to building self-optimising vision systems that can automatically optimise important parameters at each level of the system.

关键词： detection algorithms Machine vision Image edge detection System testing Image segmentation Electric variables measurement Performance analysis Algorithm design and analysis Area measurement Kernel

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Content based file type detection algorithms

Content based file type detection algorithms

引用

Annual Hawaii International Conference on System Sciences (HICSS)

作者： M. McDaniel M.H. Heydari Computer Science Department James Madison University Harrisonburg VA USA

Identifying the true type of a computer file can be a difficult problem. Previous methods of file type recognition include fixed file extensions, fixed "magic numbers" stored with the files, and proprietary descriptive file wrappers. All of these methods have significant limitations. This paper proposes algorithms for automatically generating "fingerprints" of file types based on a set of known input files, then using the fingerprints to recognize the true type of unknown files based on their content, rather than metadata associated with them. Recognition is performed by three different algorithms based on: byte frequency analysis, byte frequency cross-correlation analysis, and file header/trailer analysis. Tests were run to measure the accuracy of these algorithms. The accuracy varied from 23% to 96% depending upon which algorithm was used. These algorithms could be used by virus scanning packages, firewalls, intrusion detection systems, forensic analyses of computer hard drives, Web browsers, or any other program that needs to identify the types of files for proper operation. File type detection is also important to the operating systems for correct identification and handling of files regardless of file extension.

关键词： detection algorithms Algorithm design and analysis Fingerprint recognition Performance analysis Frequency Testing Packaging Intrusion detection Forensics Drives

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Demonstration of Sequence detection algorithms for Dynamic Spectrum Access Networks

Demonstration of Sequence Detection Algorithms for Dynamic S...

引用

IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySPAN

作者： Zhanwei Sun Glenn J. Bradford J. Nicholas Laneman Department of Electrical Engineering University of Notre Dame Notre Dame IN USA

Spectrum sensing is a critical requirement for proposed Dynamic Spectrum Access networks both to avoid causing interference to primary users and to maximize the throughput of the secondary network. Traditional sensing algorithms are performance limited by the length of time they can observe the primary user's transmission. We implement for demonstrative purposes a number of sequence detection spectrum sensing algorithms that take into account the transitions in the primary user's channel access, resulting in better sensing performance. The demonstration consists of primary and secondary data links that are both streaming video in the same frequency band, forcing the secondary link to opportunistically access the spectrum. Various sensing algorithms are selectable and configurable at the secondary transmitter, including multiple sequence detection algorithms and energy detection. The superior performance of the sequence detection algorithms is evident at the receivers through a number of metrics, including video quality, plots of the historical data rate, and estimates of the detection and false alarm probabilities.

关键词： detection algorithms Radio transmitters Baseband Interference Streaming media Receivers Radio frequency Degradation Communications Society Sun

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Research on the detection algorithms for the V-BLAST System

Research on the Detection Algorithms for the V-BLAST System

引用

International Conference on Internet Technology and Applications (iTAP)

作者： Xiao-Hua Ma Zi-Wei Zheng Ting-ting Cao College of Information Science and Engineering Ningbo University Ningbo China

Layered space-time code technique is a good scheme to improve the wireless transmission rate and reliability. The paper discusses four detection algorithms for the Vertical-Bell Laboratories Layered Space-Time (V-BLAST) system. Then, it analyzes the process of algorithms in detail and simulates them. The bit error rate (BER) for the four detection algorithms in different channel situations are compared.

关键词： detection algorithms Binary phase shift keying Bit error rate Antennas Space time codes Wireless communication

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Investigating the Performance of Corridor and Door detection algorithms in Different Environments

Investigating the Performance of Corridor and Door Detection...

引用

International Conference on Information and Automation for Sustainability (ICIAfS)

作者： Wenxia Shi Jagath Samarabandu Department of Electrical and Computer Engineering University of Western Ontario London ONT Canada

The capability of identifying physical structures in an unknown environment is important for autonomous mobile robot navigation and scene understanding. A methodology for detecting corridor and door structures in an indoor environment is proposed, and the performances of the corridor detection algorithm and door detection algorithm applied in different environments are evaluated. In the proposed algorithms, we utilize a feedback mechanism based hypothesis generation and verification (HGV) method to detect corridor and door structures using low level line features in video images. The proposed method consists of low, intermediate, and high level processing stages which correspond to the extraction of low-level features, the formation of hypotheses, and the verification of hypotheses using a feedback mechanism, respectively. The system has been tested on a large number of real corridor images captured by a moving robot in a corridor. The experimental results validated the effectiveness and robustness of the proposed methods with respect to different viewpoints, different robot moving speed, under different illumination conditions and reflection variations.

关键词： detection algorithms Feedback Mobile robots Navigation Layout Indoor environments Performance evaluation Feature extraction System testing Robustness

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Performance Analysis of Several Pitch detection algorithms on Simulated and Real Noisy Speech Data

Performance Analysis of Several Pitch Detection Algorithms o...

引用

European Signal Processing Conference

作者： Denis Jouvet Yves Laprie Speech Group Inria Villers-les-Nancy France CNRS Villers-les-Nancy France Universite de Lorraine Villers-les-Nancy France

This paper analyses the performance of a large bunch of pitch detection algorithms on clean and noisy speech data. Two sets of noisy speech data are considered. One corresponds to simulated noisy data, and is obtained by adding several types of noise signals at various levels on the clean speech data of the Pitch-Tracking Database from Graz University of Technology (PTDB-TUG). The second one, SPEECON, was recorded in several different acoustic environments. The paper discusses the performance of pitch detection algorithms on the simulated noisy data, and on the real noisy data of the SPEECON corpus. Also, an analysis of the performance of the best pitch detection algorithm with respect to estimated signal-to-noise ratio (SNR) shows that very similar performance is observed on the real noisy data recorded in public places, and on the clean data with addition of babble noise.

关键词： Speech Noise measurement detection algorithms Signal to noise ratio Signal processing algorithms Frequency-domain analysis Databases

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Context Exploitation in Intelligence, Surveillance, and Reconnaissance for detection algorithms

Context Exploitation in Intelligence, Surveillance, and Reco...

引用

IEEE Winter Applications and Computer Vision Workshops (WACVW)

作者： Jonathan D. Tucker S. Robert Stanfill Lockheed Martin - Missiles and Fire Control Applied Research

ISBN: (纸本)9781479978212

Intelligence, Surveillance, and Reconnaissance (ISR) missions involve complex analysis of sensor data that can benefit from the exploitation of geographically aligned context. In this paper we discuss our approach to utilizing geo-registered imagery and context for the purpose of aiding ISR applications. Specifically this includes rendering context masks on imagery, increasing the speed at which detection algorithms process data, providing a way to intelligently control detection density for given ground areas, identifying difficult traffic terrain, and peak suppression refinement.

关键词： Context Detectors detection algorithms Buildings Rail transportation Rendering (computer graphics) Process control

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A comparison of detection algorithms including BLAST for wireless communication using multiple antennas

A comparison of detection algorithms including BLAST for wir...

引用

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

作者： C.Z.W. Hassell J.S. Thompson B. Mulgrew P.M. Grant Dept. of Electron. & Electr. Eng. Edinburgh Univ. UK Signals and Systems Group Department of Electronics and Electrical Engineering University of Edinburgh Edinburgh UK

detection algorithms for single user wireless communication using multiple antennas at both the transmitter and receiver in a Rayleigh (flat) fading environment are compared. The system includes N transmitting antennas, M receiving antennas (N/spl les/M) and repetition coding at the transmitter (delay diversity). The linear decorrelating (LD) and minimum mean squared error (MMSE) detectors are compared with their D-BLAST and V-BLAST versions using bit error ratio versus signal-to-noise ratio simulation. For BPSK, the MMSE detector and its BLAST versions perform best and yield almost indistinguishable BER curves. The LD detector performs worst. For fixed N, as M increases, all the BER curves converge. The effect of error propagation in the BLAST schemes is shown to be non-negligible.

关键词： detection algorithms Receiving antennas Transmitting antennas Detectors Transmitters Bit error rate Wireless communication Rayleigh channels Delay Decorrelation

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Comparison and Analysis of Distributed detection algorithms for Ground Moving Targets in Sensor Networks

Comparison and Analysis of Distributed Detection Algorithms ...

引用

International Conference on Information and Automation (ICIA)

作者： Hongbing Cao Qi Huang Zhiqiang Liang Jianming Wei Tao Xing Haitao Liu Shanghai Institute of Microsystem and Information Technology Chinese Academy and Sciences Shanghai China

This paper considers the problem of detecting ground moving targets in a wireless sensor network for military surveillance application. The sensor nodes are severely constrained in both power and computational performance, and the battle field environments are commonly very complicated. A modified order statistic constant false alarm rate (OS-CFAR) detection algorithm was chosen to be implemented on sensor nodes. The algorithm includes background estimate and adaptive threshold. The experimental results with real acoustic and seismic data indicate that this algorithm is robust and flexible.

关键词： Algorithm design and analysis detection algorithms Wireless sensor networks Event detection Surveillance Acoustic sensors Acoustic testing Statistical analysis Frequency Military computing

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Performance Comparison of Rock detection algorithms for Autonomous Planetary Geology

Performance Comparison of Rock Detection Algorithms for Auto...

引用

IEEE Conference on Aerospace

作者： David R. Thompson Rebecca Castano The Robotics Institute Carnegie Mellon University Pittsburgh PA USA Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

Detecting rocks in images is a valuable capability for autonomous planetary science. Rock detection facilitates selective data collection and return. It also assists with image analysis on Earth. This work reviews seven rock detection algorithms from the autonomous science literature. We evaluate each algorithm with respect to several autonomous geology applications. Tests show the algorithms' performance on Mars Exploration Rover imagery, terrestrial images from analog environments, and synthetic images from a Mars terrain simulator. This provides insight into the detectors' performance under different imaging conditions.

关键词： detection algorithms Geology Image edge detection Mars Detectors Testing Laboratories Shape Propulsion Robots

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