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检索条件"主题词=Detection Algorithms"

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A novel scene change detection algorithm based on the 3D wavelet transform

A novel scene change detection algorithm based on the 3D wav...

引用

IEEE International Conference on Image Processing

作者： Zhi Li Guizhong Liu School of Electronics and Information Engineering Xi'an Jiaotong University Xi'an China

This paper proposes a novel scene change detection algorithm based on the 3D wavelet transform. In scene change including cut, dissolve and fade, the frames have particular temporal and spatial layouts. The dissolve and the fade have strong temporal and spatial correlation; on the contract the correlation of the cut is weak. The 3D wavelet transform can effectively express the correlation of the several successive frames since the low-frequency and high-frequency component coefficients have the proper statistics regularities which can effectively identify the shot transitions. Three features are computed to describe the correlation of the shot transitions, which are input to support vector machines for scene change detection. Experimental results show that the method is effective for the gradual shot transition detection.

关键词： Layout detection algorithms Wavelet transforms Videos Change detection algorithms Support vector machines Gunshot detection systems Histograms Object detection Motion detection

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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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A dynamic layer ordering M-paths MIMO detection algorithm and its implementation

A dynamic layer ordering M-paths MIMO detection algorithm an...

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Asia-Pacific Conference on Communications

作者： Jianping Chen En Zhou Xiaolin Hou Zhan Zhang Hidetoshi Kayama

ISBN: (纸本)9784885522321

During the past decade, multiple-input-multiple-output (MIMO) systems have received a significant attention because of its promising capacity increase over single-input-single-output (SISO) systems. In this paper, as a key technology, we present a novel M-paths MIMO detection algorithm with dynamic-layer-ordering for spatial-multiplexing MIMO systems over rich scattering wireless environment. This algorithm obtains a near-ML detection performance (e.g., only 0.2 dB performance degradation for 4-TX and 4-RX MIMO with 16 QAM) with a much lower computational complexity compared to the ML detection. We also develop an recursive procedure for dynamic-layer-ordering and reduce the ordering complexity from O(N T 4 ) to O(N T 3 ), where N T is the number of TX antennas. In order to verify the feasibility and performance, a pipelined structure is designed and implemented in FPGA with limited hardware resources and a 200 Mbps throughput.

关键词： MIMO detection algorithms Computational complexity AWGN Scattering Degradation Heuristic algorithms Vectors Receiving antennas Field programmable gate arrays

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Potential Target Traversing detection Algorithm Based on Voronoi Diagram

Potential Target Traversing Detection Algorithm Based on Vor...

引用

International Conference on Internet Computing in Science and Engineering (ICICSE)

作者： Jin Zhang Daxin Liu Yuezhu Xu Meng Zhao Wenhui Zhao College of Computer Science and Technology Harbin Engineering of Technology Harbin China Department of Information Science and Technology Yanshan University슠 Qinhuangdao China College of Science Harbin Engineering of Technology Harbin China

In a wireless sensor network, sensors are scattered randomly by aircraft or rocket ejection. On account of scattered randomness, there may be sparse areas of sensors, in which, sensors cannot detect every hole and corner. Aimed at the region coverage, from another profile, the paper analyses and explains that the randomness of sensor scattered and the limitation of sensor monitor capability lead the appearance of potential traversing path in the whole wireless sensor network, and proposes the potential target traversing detection algorithm based on Voronoi diagram and corresponding solution. Through the analysis of experimental results, the feasibility and the validity of the detection algorithm are proved, and the potential risk can be made up by corresponding solution.

关键词： detection algorithms Wireless sensor networks Algorithm design and analysis Scattering Art Educational institutions Aerospace engineering Monitoring Risk analysis IP networks

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Face detection Method Based on a New Nonlinear Transformation of Color Spaces

Face Detection Method Based on a New Nonlinear Transformatio...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Zhengzhen Zhang Yuexiang Shi School of Information Engineering Xingtan University Xiangtan China

In this paper, against Hsu R L skin tone detection algorithm, which has high missing detection ratio when the facial brightness of an image is high, we introduce a new nonlinear transformation method of the YCb "Cr" color skin space, which is the color segmentation of the human face for regional analysis and extraction; Then implement image rotation and template matching. Experimental results indicate that when the facial brightness of an image is high, the new proposed nonlinear color space conversion algorithm based on YCbCr color space is better than the simple method, which wipes off the effect of the brightness directly, and Hsu R L skin detection algorithm. The series of experimental results demonstrate clearly that our new method has a higher detection ratio on high bright facial images, and can drop the false or missing detection ratio on high luminance images. Besides, we have more detailed testing results on the eyes, eyebrows, mouth and other parts.

关键词： Face detection Skin Brightness Image color analysis detection algorithms Chromium Image segmentation Humans Image analysis Algorithm design and analysis

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A Selective Feedback detection Algorithm Based on FDE-NP for MIMO Systems

A Selective Feedback Detection Algorithm Based on FDE-NP for...

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

作者： Wei Zhao Wenjin Wang Qiuzhe Zhao Xiqi Gao National Mobile Communication Research Laboratory South-East University Beijing China

Compared with the conventional FDE scheme, the FDE-NP structure which consists of a linear frequency domain equalizer (FDE) and a time domain noise predictor (NP) has lower complexity and achieves better performance and complexity trade-off. In this paper, we propose a selective detection algorithm for FDE-NP model in MIMO system, which we refer to as selective feedback detection (FDE-NP-SEL) algorithm. By evaluating the average MMSEs during the data transmission for all the possible feedback modes, the new detection algorithm chooses the optimal one to design time-domain NPs. In particular, to simplify the design of the feedback filters, we consider an inverted ordered detection (FDE-NP-INV) algorithm, in which decisions are fed back to predict and cancel their pre-cursor inter-symbol interference (ISI) effects to the previous signals. Simulation results show that the new proposed FDE-NP-INV scheme achieves significant performance improvement over the conventional FDE-NP scheme with the same complexity. Furthermore, we propose the hybrid ordered detection (FDE-NP-HYB) algorithm by combining the FDE-NP-INV algorithm with the conventional FDE-NP scheme . It is shown that the proposed FDE-NP-HYB can further improve the performance.

关键词： Feedback detection algorithms MIMO Algorithm design and analysis Frequency domain analysis Equalizers Data communication Time domain analysis Signal design Filters

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DB-Outlier detection Algorithm Using Divide and Conquer Approach over Dynamic DataStream

DB-Outlier Detection Algorithm Using Divide and Conquer Appr...

引用

International Conference on Computer Science and Software Engineering

作者： Manzoor Elahi Xinjie Lv Wasif Nisar Imran Ali Khan Ying Qiao Hongan Wang Intelligence Engineering Lab Institute of Software of Chinese Academy of Sciences Beijing China Chinese Academy of Sciences Beijing China Comsats Institute of Information Technology Islamabad Pakistan Network Information Center Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781424439027

Anomaly detection is currently an important and active research problem in many fields and involved in numerous applications. Most of the existing methods are based on distance measure which can produce better results as compared to other methods. But in case of datastream these methods are computationally less efficient. In order to find some specified number of neighbors for each data element make these methods inappropriate for datasteam environment, because of the huge volume of DataStream. Moreover, declaring a point as an outlier as it arrives, can often lead us to a wrong decision. In this paper we introduced an algorithm which divide incoming stream in chunks and make preliminary clusters in each chunk during the first stage. In the second stage K-nearest neighbor approach for outlier detection is applied to each cluster. In this way we can reduce the nearest neighbor searches for each data element as well as can detect better outliers with evolution of data stream. Several experiments on different datasets confirm that our technique can find suitable outliers with low computational cost than the other exiting distance based approaches for outlier detection over data stream.

关键词： detection algorithms Data mining Nearest neighbor searches Information technology Databases Costs Computer science Software engineering Data engineering Application software

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Multipitch detection Based on Weighted Summary Correlogram

Multipitch Detection Based on Weighted Summary Correlogram

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International Symposium on Chinese Spoken Language Processing

作者： Xueliang Zhang Wenju Liu Peng Li Bo Xu National Laboratory of Pattern Recognition Chinese Academy and Sciences Beijing China Digital Media Content Technology Research Centre Institute of Automation Chinese Academy and Sciences Beijing China

ISBN: (纸本)9781424429424

In this paper, we introduce a multipitch detection algorithm which is based on weighted summary correlogram. The weight is described as a conditional probability which models the relationship between fundamental frequency (FO) of periodic sound and response frequency of its dominated channels. Modified by this weight, SACF obtains more robustness to noise and to sub-harmonic error. The proposed algorithm can be used to track single or multiple pitches under noisy environment. Its performance is evaluated on 100 mixed sounds which comprise 10 voiced speeches and 10 different kinds of noises. The results show that our model has better performance than existing algorithms.

关键词： Frequency Acoustic noise Hidden Markov models Psychoacoustic models Autocorrelation Delay Working environment noise detection algorithms Noise robustness Speech analysis

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detection Algorithm for V-BLAST System Based on Hybrid Discrete Particle Swarm Optimization

Detection Algorithm for V-BLAST System Based on Hybrid Discr...

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

作者： Wei Dong Jiandong Li Mingming Zhu Liang Chen State Key Laboratory of Integrated Service Networks Xidian University Xi'an China Institute of Intelligent Information Processing Xidian University Xi'an China

According, to the new discrete particle swarm optimization (NDPSO) and combining NDPSO with the mutation operator of the genetic algorithm, we proposed a novel hybrid discrete particle swarm optimization detection algorithm for the vertical bell-labs layered space-time (V-BLAST) system. The complexity of the proposed detection algorithm is analyzed. Compared with the maximum likelihood (ML) detection algorithm which has the best BER performance but the highest computational complexity, the proposed detection algorithm is capable of reducing the computational complexity significantly. Simulation results show that the bit error rate (BER) of the proposed algorithm is very close to that of the ML detection algorithm and significantly lower than the other suboptimal detection algorithms. The algorithm is a new method to solve the detection problem in V-BLAST system.

关键词： detection algorithms Particle swarm optimization Computational complexity Receiving antennas Transmitting antennas Maximum likelihood detection Bit error rate Laboratories Algorithm design and analysis Computational modeling

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LADAR based obstacle detection in an urban environment and its application in the DARPA Urban challenge

LADAR based obstacle detection in an urban environment and i...

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International Conference on Control, Automation and Systems ( ICCAS)

作者： Jihyu Yoon Carl D. Crane Center for Intelligent Machines and Robotics University of Florida Gainesville FL USA USA

This paper describes the development of an autonomous ground vehicle that participated in the 2007 DARPA urban challenge. Specifically, this paper introduces LADAR based static and moving obstacle detection algorithms for several traffic scenarios in the urban environment. The obstacle detection algorithm is critical for avoiding collisions with other vehicles and for safe driving at high speed. On the real road, the driver is faced with numerous traffic situations ranging from intersection traversal and lane changing to passing a stopped or slow moving car or performing a U-turn. For an unmanned vehicle to be successful, it must collect, interpret and act on sensor data about the surrounding world. The 2007 DARPA urban challenge demonstrated various approaches to navigate through these traffic scenarios. This paper outlines the approach used by the University of Floridapsilas Team Gator Nation to address the question of both static and dynamic obstracle detection.

关键词： Laser radar detection algorithms Land vehicles Road accidents Remotely operated vehicles Vehicle driving Vehicle safety Face detection Navigation Vehicle dynamics

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