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检索条件"主题词=Detection algorithms"

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Combining Top-Down and Ncut Methods for Figure-Ground Segmentation

Combining Top-Down and Ncut Methods for Figure-Ground Segmen...

引用

International Conference on Apperceiving Computing and Intelligence Analysis, ICACIA

作者： De-Kun Hu Jiang-Ping Li Simon X. Yang Stefano Gregori School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China ARIS Lab School of Engineering University of Guelph Guelph ONT Canada

To locate the object accurately in a scene for further vision processing, a novel approach for figure-ground segmentation is proposed, which combines the normalized-cut method (Ncut) and top-down method inspired by the trickle-up and trickle-down processing in primate visual pathways. Firstly, as the trickle-up stage, the Ncut method groups the pixels into multiple partitions based on the global criterion, which measures both the total dissimilarity between the different groups as well as the total similarity within the groups. The computation of trickle-down includes mainly a covering operator, which covers the result of the trickle-up with the fragments of specific class. As one important computation in the trickle-down stage, the optimal method base on back-propagation neural network is utilized to improve the performance of the model. The proposed approach is applied to several segmentation experiments of clustering conditions. The results demonstrate that the performance of the proposed approach overpasses those achieved by previous top-down or bottom-up schemes on figure-ground segmentation. In addition to its application in computer vision, the success of this approach suggests a plausibility method, which combines the forward and backward processes for solving the visual perceptual grouping problem.

关键词： Image segmentation Layout Computer networks Neural networks Application software Horses Computer science Computer vision Object detection detection algorithms

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Grid Synchronization of Wind Turbine Converters under Transient Grid Faults using a Double Synchronous Reference Frame PLL

Grid Synchronization of Wind Turbine Converters under Transi...

引用

IEEE Energy 2030 Conference, ENERGY

作者： P. Rodriguez A. Luna R. Teodorescu F. Blaabjerg Department of Electrical Engineering Technical University of Catalonia Barcelona Spain Institute of Energy Technology University of Aalborg Aalborg Denmark

This work employs the double synchronous reference frame PLL (DSRF-PLL) as an effective method for grid synchronization of WT's power converters in the presence of transient faults in the grid. The DSRF-PLL exploits a dual synchronous reference frame voltage characterization, adding a decoupling network to a standard SRF-PLL in order to effectively separate the positive- and negative-sequence voltage components in a fast and accurate way. Experimental evaluation of the proposed grid synchronization method and simulations regarding its application to ride through transient faults verify and validate the excellent behavior of the DSRF-PLL in the grid synchronization of WT's power converters under unfavorable grid conditions.

关键词： Wind turbines Phase locked loops Voltage Frequency synchronization Power system transients Frequency estimation Wind power generation detection algorithms Fault detection Wind energy

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A low power ZigBee baseband processor

A low power ZigBee baseband processor

引用

International SoC Design Conference, ISOCC

作者： Kai-Hsin Chen Hsi-Pin Ma Department of Electrical Engineering National Tsing Hua University Hsinchu Taiwan

ISBN: (纸本)9781424425983

This paper presents an IEEE 802.15.4 (ZigBee) practicable baseband processor including transmitter and receiver. To estimate and compensate carrier phase error at baseband, the receiver allows full digital solution for carrier phase synchronization. An existing packet detection algorithm for spread spectrum communication system is used to estimate large carrier frequency offset. This paper also presents a new decision-feedback algorithm for residue phase error tracking. The proposed receiver achieves system performance as PER = 0.01 at SNR less than 5 dB, which is better than standard specifications. The baseband processor was implemented in simple hardware architecture and designed with low power technique. The chip is fabricated with the TSMC 0.18 mum 1P6M CMOS technology with a gate count of 78 k. The area is 1.633 mm times 1.633 mm, and power consumption is about 1.7 mW at receiver mode under supply voltage of 1.8 V and operating frequency of 4 MHz.

关键词： ZigBee Baseband Frequency estimation CMOS technology Transmitters Phase estimation Frequency synchronization detection algorithms Spread spectrum communication System performance

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Fault-Tolerant Algoritms for Detecting Event Regions in Wireless Sensor Networks Using Statistical Hypothesis Test

Fault-Tolerant Algoritms for Detecting Event Regions in Wire...

引用

International Conference on Parallel and Distributed Systems (ICPADS)

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

Detecting event regions in a monitored environment is a canonical task of wireless sensor networks (WSNs). It is a hard problem because sensor nodes are prone to failures and have scarce energy. In this paper, we seek distributed and localized algorithms for fault-tolerant event region detection. Most existing algorithms 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 two detection algorithms by applying statistical hypothesis test (SHT). Our analyses show that SHT-based algorithm is more accurate in detecting event regions. Moreover, it is more energy efficient since it gets rid of frequent measurement exchanges. In order to improve the capability of fault recognition, we extend SHT-based algorithm by examining both spatial and temporal correlations of sensor measurements, and our analyses show that extended SHT-based algorithm can recognize almost all faults when sensor network is densely deployed.

关键词： Fault tolerance Event detection Fault detection Wireless sensor networks Testing Algorithm design and analysis Condition monitoring detection algorithms Energy efficiency Energy measurement

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Simulation of A Novel Detecting Algorithm for Cascade Shunt Active Power Filter

Simulation of A Novel Detecting Algorithm for Cascade Shunt ...

引用

2008 IEEE International Conference on Industrial Technology, Pages 1-434

作者： Yang Wang Ping Wang Institute Of Electrical Engineering Chinese Academy Of Sciences Beijing 100080 China

ISBN: (纸本)9781424417056;9781424417063

In this paper a novel algorithm for detecting voltages of capacitors of cascade shunt active power filter (CSAPF) is presented based on Carrier Phase Shift-SPWM (CPS-SPWM). This work is motivated by the fact that the number of voltage sensors is largely increased by CSAPF with cascade topology which has been put into practical use for years especially in high voltage and high power drivers. Following the novel algorithm, the number of voltage sensors can be greatly decreased and only one sensor is needed for each phase which leads to a reduction of the cost of CSAPF. Computer simulations verify the validity and effectiveness of the proposed novel method.

关键词： active power filter detection algorithms power filters COST REDUCTION cascades shunt Shunts (electrical) simulating High Voltage VOLTAGE Capacitors power actuator Sensors

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Mean Shift Tracking Combining SIFT

Mean Shift Tracking Combining SIFT

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9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP'08)

作者： Chen Xue Ai-hua Chen Yan-hua Wang Ming Zhu Changchun Institute of Optics Fine Mechanics and PhysicsChinese Academy of sciencesChangchun 13003 Changchun Institute of Optics Fine Mechanics and PhysicsChinese Academy of sciencesChangchun 13003

A novel visual tracking algorithm to cope with occlusion and scale variation is *** method combines mean shift and SIFT algorithm to track *** algorithm is invariant to rotation,translation and scale *** it is a timeconsuming *** wasting time is related to image *** the proposed algorithm first adopts mean shift to initially locate object position,then SIFT operator is used to detect features in object area and model area,lastly,the proposed method matches features in these two areas and calculates the relationship between them using affine *** to affine transform parameters,the state of object can be adjusted in *** order to reduce process time,an improved feature matching algorithm is proposed in this *** show that the proposed algorithm deals with occlusion successfully and can adjust object size in time.

关键词： Computer vision Object detection Noise robustness Lighting Optical distortion Physics detection algorithms Computational efficiency Change detection algorithms Kernel

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Improved SQRD algorithm for MIMO-BLAST systems

Improved SQRD algorithm for MIMO-BLAST systems

引用

International Conference on Communication Technology (ICCT)

作者： Wang Zhongpeng Zhang Shaozhong School Of Information and Electronic Engineering Zhejiang Science and Technology University Hangzhou China LFaculty of Electronic and Information Engineering Zhejiang Wanli University Ningbo China

In this paper, we present a new iterative receiver algorithm based on sort QR decomposition to mitigating the error propagation of VBLAST. The performance of first detected layer is enhanced for it is detected iteratively, so the performance of the overall system is improved. The proposed algorithm achieves good performance compared to standard ZF-VBLAST with reduced computational complexity.

关键词： Transmitting antennas Receiving antennas Matrix decomposition Fading Iterative algorithms Maximum likelihood decoding MIMO Signal detection detection algorithms Detectors

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Tool-aided semantics acquisition for live soccer video

Tool-aided semantics acquisition for live soccer video

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Xinguo Yu Xin Yan Yiqun Li Institute for Infocomm Research Agency for Science Technology and Research Singapore

The semantics of live sports video has big value in catering the services demanded by users (e.g. live event alert and on-the-fly language selection). This paper develops a tool-aided approach to acquire semantics for live soccer video. First, we develop a gamelog acquisition tool, which not only acquires accurate gamelogs but also gets rid of the heavy manual work of the text-way input. Then we develop algorithms to detect multiple boundaries of each event. The amount of manual work of our approach is very limited thanks to the good attributes of our gamelog acquisition tool: (a). it visualizes and symbolizes names of players, actions, etc; (b). it also requires fewer key strokes and mouse clicks for acquiring event description compared with text-way input. Experimental results show that we only need about 5% of mouse-clicks or key-strokes, 50% of input time, and 10% of file size, compared with the text-way input in English, and that our system can quickly obtain the event multiple boundaries of live soccer video.

关键词： Feature extraction Games detection algorithms Color Visualization Graphical user interfaces Pixel

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Groupwise successive interference cancellation for MIMO communication systems

Groupwise successive interference cancellation for MIMO comm...

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Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： A. H. Rafati M. Biguesh Saeed Gazor Wireless Comm Lab Electrical Engineering Dept Shiraz University Shiraz Iran Department of ECE Queen's University Kingston ONT Canada

This paper proposes a modified detection scheme which reduces the performance gap between the V-BLAST MMSE detection algorithm and the maximum likelihood (ML) detection. In V-BLAST detection algorithm error propagation due to unreliable decision feedback severely limits the system performance. Here, we propose a new detection scheme that reduces the destructive effect of error propagation to a great extent. In our proposed detection algorithm, we have used ML detection to jointly estimate two strongest sub-streams of the transmitted data. For this purpose, we find an optimum beam-forming matrix to minimize the power of cumulative noise and the interfering sub-streams. It is shown that the proposed scheme outperforms the conventional V-BLAST MMSE algorithm with moderate increase in computational complexity. Nevertheless, our study shows that the complexity of our proposed algorithm is almost negligible compared to maximum likelihood detection.

关键词： Interference cancellation MIMO Maximum likelihood detection Receiving antennas Iterative algorithms Transmitting antennas detection algorithms Maximum likelihood estimation System performance Telecommunication computing

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An empirical comparison of segmentation algorithms on auroral images (non-reviewed)

An empirical comparison of segmentation algorithms on aurora...

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IEEE Southeastcon

作者： Chih-Cheng Hung Glynn Germany Tim Newman Southern Polytechnic State University Marietta GA USA University of Alabama Huntsville AL USA

Image segmentation is an essential step in extracting information from raw images for interpretation. Although many segmentation algorithms have been proposed in the literature, image segmentation is still an elusive goal in image processing. In this study, we compared and tested four different segmentation techniques for improvement on auroral image segmentation. To extract some useful information from auroral images, Gabor wavelet transform was used to perform the transformations.

关键词： Image segmentation Clustering algorithms Testing Partitioning algorithms Data mining Wavelet transforms Image edge detection Iterative algorithms detection algorithms Image processing

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