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检索条件"主题词=detection algorithms"

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Ground-plane detection using stereo depth values for wheelchair guidance

Ground-plane detection using stereo depth values for wheelch...

引用

International Conference on Image and Vision Computing New Zealand, IVCNZ

作者： K. Gong R. Green Mechatronics Engineering University of Canterbury Christchurch New Zealand Computer Science University of Canterbury Christchurch New Zealand

This paper proposes a plane detection algorithm from stereo camera depth data, using it to find the ground plane. The proposed algorithm ran at 30 frames per second and can successfully detect a ground plane. A simple PID wheelchair controller is implemented to correct for any heading adjustment if required based on ground plane geometries with respect to the wall.

关键词： Wheelchairs Cameras Computer vision Stereo vision Image resolution Filters Image edge detection detection algorithms Navigation Noise figure

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detection of voltage variations due to distributed energy resources

Detection of voltage variations due to distributed energy re...

引用

IEEE General Meeting Power& Energy Society

作者： Norman C. F. Tse Long Zhou HKSAR City University of Hong Kong Hong Kong China City University of London London UK

With the use of distributed renewable energy resources in the building low-voltage distribution network, voltage fluctuations are of rising concerns. This paper aims to make use of a computational algorithm to identify voltage fluctuations by the use wavelet-based transform. The continuous wavelet transform (CWT) using the complex Morlet wavelet (CMW) is adopted to detect the voltage fluctuations presented in a voltage waveform. A modified complex Morlet wavelet (CMW) is introduced accordingly. A frequency detection algorithm is developed from the wavelet scalogram and ridges. A waveform reconstruction algorithm based on the continuous wavelet transform (CWT) is used to estimate the variation of voltage amplitudes, locations of voltage sags as well as oscillatory transients. Simulation has been used to verify the effectiveness of the approach.

关键词： Energy resources Continuous wavelet transforms Voltage fluctuations Wavelet transforms Renewable energy resources Frequency detection algorithms Reconstruction algorithms Amplitude estimation Voltage-controlled oscillators

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A Practical Eye State Recognition Based Driver Fatigue detection Method

A Practical Eye State Recognition Based Driver Fatigue Detec...

引用

Chinese Conference on Pattern Recognition (CCPR)

作者： Huan Wang Yong Cheng Qiong Wang Mingwu Ren Chunxia Zhao Jingyu Yang School of Computer Science Nanjing University of Science and Technology of PLA Nanjing China Nanjing University of Science and Technology Nanjing Jiangsu CN

Driving fatigue detection is a key technique in vehicle active safety. In this paper, a practical driver fatigue detection algorithm is proposed, it employs sequential detection and temporal tracking to detect human face, which combines the superiorities of both Adaboost and mean-shift algorithm; a morphologic filter method is given to localize the pair of eyes in the detected face area. Then multiple image features are exploited to recognize open state or close state. Various tests demonstrated that it has a performance of high detection precision and fast processing speed. To this end, it can be effectively and efficiently used in vehicle active safety systems.

关键词： Fatigue Face detection Vehicle safety Vehicle detection Vehicle driving detection algorithms Humans Filters Eyes Image recognition

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Motorcycle and License Plate detection Using Fixed-Size Vertical Projection and Multi-Part Mean Analysis

Motorcycle and License Plate Detection Using Fixed-Size Vert...

引用

International Conference on Computer Engineering and Technology, ICCET

作者： Wiwat Phatanasrirat Suebskul Phiphobmongkol Department of Computer Engineering Chulalongkom University Bangkok Thailand

This paper proposed methods for motorcycle and license plate detection using fixed-size vertical projection and multi-part mean analysis. The method consisted of two parts: a motorcycle detection and a license plate detection. Fixed-size vertical projection and neural network were used in the motorcycle detection process. Vertical and horizontal scanning was used to extract features for the neural network. Later, a rough filter and a thorough filter were used to approximately locate and finally confirm a license plate, respectively. These methods were tested on both motorcycles with license plates and motorcycles without license plates. The experimental results gave accuracy of 93.20% for motorcycle detection, 93.33% for motorcycles with license plates, and 87.23% for motorcycles without license plates.

关键词： Motorcycles Licenses Vehicles Neural networks Feature extraction Filters Testing Shape detection algorithms Paper technology

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EM-based Multi-User detection for STBC-MC-CDMA communication systems

EM-based Multi-User Detection for STBC-MC-CDMA communication...

引用

International Conference on Signal Processing and Communication Systems, ICSPCS

作者： M. Mehrkam A. Zolghadr Asli Communication Department Faculty of Electrical and Computer Engineering School of Engineering Shiraz University Shiraz Iran

In this paper, a sub-optimum multi-user detection (MUD) algorithm is investigated in the synchronous case of the downlink for a space-time block coded multi-carrier code division multiple access (MC-CDMA) communication system over dispersive wireless channel based on the expectation maximization (EM) algorithm. In particular, the expectation and maximization steps of the EM algorithm are derived, and the performance of the non-linear iterative algorithm is compared with different iterative Parallel and Successive Interference Cancellers (IC) such as MMSE-PIC and MMSE-SIC detectors as well as ZF-PIC and ZF-SIC detectors. It is seen that the proposed detection algorithm is efficient from complexity points of view. The numerical results also demonstrate the efficiency of the algorithm in the scenes of bit error rate performance.

关键词： Multiuser detection Iterative algorithms Multicarrier code division multiple access Detectors Downlink Dispersion Interference cancellation detection algorithms Layout Bit error rate

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Orthogonal grouping-based near optimal detection algorithm for high order MIMO systems

Orthogonal grouping-based near optimal detection algorithm f...

引用

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

作者： Yang Lan Zhan Zhang Hidetoshi Kayama Docomo Beijing Communication Laboratories Company Limited China

Focusing on high order multiple-input multiple-output (MIMO) systems, this paper presents an orthogonal grouping-based near optimal detection algorithm (OGNO). Compared to existing detection algorithms, the proposed algorithm provides a new viewpoint of reducing the receiver detection complexity in high order MIMO systems. With the proper parameters, the OGNO can achieve the almost same performance as the optimal maximum likelihood detection (MLD) algorithm but much lower complexity. Meanwhile, the fixed computational complexity offers a practical real-time hardware implementation. The advantage of complexity reduction comes from the orthogonal grouping, which can convert a higher order MIMO system into several lower order MIMO systems, where each subsystem can also be viewed a group. These groups perform detection separately. Due to more than one candidate sequence output from each group, the overall optimal sequence is obtained through ranking combination static group search. The bit error performance evaluation of the proposed algorithm is given by computer simulation and its complexity is evaluated by measuring the total number of floating-point operations (flops). Furthermore, it will be implemented into our real-time FGPA 8×8 MIMO-OFDM test-bed and the results from RF experiments will be given in the future.

关键词： detection algorithms MIMO Interference cancellation Maximum likelihood detection Computational complexity Hardware Maximum likelihood decoding Transmitting antennas Laboratories Computer errors

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Kernel subspace-based anomaly detection for hyperspectral imagery

Kernel subspace-based anomaly detection for hyperspectral im...

引用

Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS

作者： Nasser M. Nasrabadi US Army Research Laboratory Adelphi MD USA

This paper provides a performance comparison of various linear and nonlinear subspace-based anomaly detectors. Three different techniques, principal component analysis (PCA), fisher linear discriminant (FLD) analysis, and the eigenspace separation transform (EST), are used to generate the linear projection subspaces. Each of these three linear methods is then extended to its corresponding nonlinear kernel version. The well-known Reed-Xiaoli (RX) anomaly detector and its kernel version (kernel RX) are also implemented. Comparisons between all linear and non-linear anomaly detectors are made using receiver operating characteristics (ROC) curves for several hyperspectral imagery.

关键词： Kernel Hyperspectral imaging Detectors Principal component analysis Testing Machine learning Object detection detection algorithms Laboratories Powders

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Channel Estimation Aided Active Codes detection Algorithm in TD-SCDMA Systems

Channel Estimation Aided Active Codes Detection Algorithm in...

引用

WRI International Conference on Communications and Mobile Computing, CMC

作者： Zeng Rong Institute of Telecommunication Hangzhou Dianzi University China

TD-SCDMA is one of the 3G wireless communication standards accepted by ITU and 3GPP. TD-SCDMA system has employed joint detection algorithms in downlink to improve the performance. As an important part of joint detection algorithm, active codes detection algorithm has large effect on the performance. In this paper, we propose a channel estimation aided active codes detection algorithm. Theory analyses and simulation results show that the proposed algorithm has better system performance compared with conventional algorithm.

关键词： Channel estimation detection algorithms Time division synchronous code division multiple access Wireless communication Communication standards Downlink Performance analysis Algorithm design and analysis Analytical models System performance

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A real-time ellipse detection based on edge grouping

A real-time ellipse detection based on edge grouping

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Thanh Minh Nguyen Siddhant Ahuja Q.M. Jonathan Wu Department of Electrical and Computer Engineering University of Windsor Windsor ONT Canada

In this paper, we present a efficient algorithm for real-time ellipse detection. Unlike Hough transform algorithm that is computationally intense and requires a higher dimensional parameter space, our proposed method reduces the computational complexity significantly, and accurately detects ellipses in realtime. We present a new method of detecting arc-segments from the image, based on the properties of ellipse. We then group the arc-segments into elliptical arcs in order to estimate the parameters of the ellipse, which are calculated using the least-square method. Our method has been tested and implemented on synthetic and real-world images containing both complete and incomplete ellipses. The performance is compared to existing ellipse detection algorithms, demonstrating the robustness, accuracy and effectiveness of our algorithm.

关键词： Image edge detection Parameter estimation detection algorithms Vehicle detection Least squares methods Real time systems Cancer detection Joining processes Noise robustness Cybernetics

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An improved corner point detection using extreme value of Susan method for measuring a displacement

An improved corner point detection using extreme value of Su...

引用

SICE Annual Conference

作者： Byung-Seung Jeon Dong-Gi Woo Young-Hak Mo Myo-Taeg Lim Department of Electrical Engineering Korea University Seoul South Korea

This paper proposes the corner point detection algorithm which uses extreme value from gray level image. There are various methods to detect corner point. Corner point includes information about the length and shape of model. Preprocessing step is required to detect corner point. First, the model image is converted to gray-level image. After removing noise from converted image, edge lines are detected by edge detection algorithm. Existing SUSAN algorithm detects edge line by using area, but also detects wrong corner points. But proposed extreme value method only detects corner point which belongs to the defined area, so detection ratio can be increased. Proposed method can be used to detect model's exact displacement or to perform 3-D reconstruction.

关键词： Displacement measurement Image edge detection detection algorithms Shape Image converters Character recognition Cameras Image reconstruction Electric variables measurement Noise shaping

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