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检索条件"主题词=detection algorithms"

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An Effective Trespasser detection System Using Thermal Camera

An Effective Trespasser Detection System Using Thermal Camer...

引用

International Conference on Computer Research and Development (ICCRD)

作者： Wai Kit Wong Zeh Yang Chew Chu Kiong Loo Way Soong Lim Faculty of Engineering and Technology Multimedia University Malacca Malaysia

ISBN: (纸本)9781424469925;9780769540436

This paper presents a novel human detection algorithm embedded into a thermal imaging system to form a fast and effective trespasser detection system for smart surveillance purpose. To identify a human object, pattern recognization technique is employed where human head is detected and analyzed for its shape, dimension and position. The experimental result shows that the proposed trespasser detection algorithm is fast and accurate with accuracy of 98.62% in its optimum setting with short routine time of 112 milliseconds.

关键词： Cameras Humans Surveillance Mathematical model detection algorithms Pattern recognition Head Object detection Partitioning algorithms Medical services

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Road Lane detection with Improved Canny Edges Using Ant Colony Optimization

Road Lane Detection with Improved Canny Edges Using Ant Colo...

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International Conference on Emerging Trends in Engineering and Technology, ICETET

作者： P.M. Daigavane P.R. Bajaj S.D. College of Engineering India G. H. Raisoni College of Engineering and Technology India

To reduce accidents and increasing safety, thereby saving lives are one of the context of driver assistance system, among the complex and challenging tasks of future road vehicle is road lane detection. Lane detection is difficult problem because of varying road condition that one can encounter during driving. In this paper a hybrid approach on captured images using ant colony optimization (ACO) on Canny for edge detection then applying few processes in order to detect lanes. Those lanes are extracted using Hough transform. The proposed lane detection system can be applied on painted roads and straight roads. This approach was tested and the experimental results shows that proposed scheme was robust.

关键词： Image edge detection Roads Detectors detection algorithms Ant colony optimization Noise Pixel

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Shot Cut detection Based on the Statistical Parameter Histogram with the Discrete Walsh Transform

Shot Cut Detection Based on the Statistical Parameter Histog...

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International Conference on MultiMedia and Information Technology, MMIT

作者： Jianfeng Wang Chongqing Aerospace Vocational College Chongqing China

ISBN: (纸本)9781424466016;9780769540085

In this paper, we propose an effective and fast shot cut detection algorithm directly in MPEG compressed domain. The proposed shot cut detection test the different between the current frame and next frame through the extracting the feature of each frame. When extract the features of frame, statistical parameters m1-σ from DWT coefficients without its inverse transform was computed, Except this, locating shot cuts is operated by comparison tests. In comparison with the latest research efforts in shot cut detection, our proposed algorithm achieves significant advantages including: (a): use the walsh transform to reduce the computation time for a given resolution or to increase the resolution without drastically increasing the computation time (b): there is no full decompression is needed; (c): adding correlation to judge the different between feature vectors; and (d): detection performance is competitive and fast.

关键词： Gunshot detection systems Histograms Discrete transforms Kernel Discrete wavelet transforms Image coding Equations detection algorithms Feature extraction Algorithm design and analysis

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Epileptic seizure onset detection prior to clinical manifestation

Epileptic seizure onset detection prior to clinical manifest...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Muhammad Tariqus Salam Mohamad Sawan Dang Khoa Nguyen Polystim Neurotechnologies Laboratory École Polytechnique de Montréal QUE Canada Neurology Service Department of Medicine Notre-Dame Hospital Université de Montréal QUE Canada

In this paper, we present the design of an epilepticseizure detector. This circuit is part of an implantable device used to continuously record intracerebral electroencephalographic signals through subdural and depth electrodes. The implemented seizure detector is based on a detection algorithm validated in Matlab tools and the circuits were implemented using CMOS 0.18-μm process. The proposed system was tested using intracerebral EEG recordings from two patients with drug-resistant epilepsy. Four seizures were assessed by the proposed CMOS building blocks and the required delays to detect these seizures were 3, 8, 11, and 11 sec, respectively after electric onset. The simulated total power consumption of the detector was 6.71 μW. Together, these preliminary results indicate the possibility of building implantable ultra-low power seizure-detection devices.

关键词： Detectors Epilepsy detection algorithms Frequency modulation Electrodes Electroencephalography Delay

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A novel location detection service model in cellular networks

A novel location detection service model in cellular network...

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IEEE Symposium on Web Society, SWS

作者： Qiu Lin Song Meina Xiao Shan Jiang Haiou Beijing University of Posts and Telecommunications China

In this paper, we present a novel location detection service model on applying data correlation methods to locate mobile stations within a cellular network. In the proposed location detection algorithm, the mobile stations' signal strength values which obtained from the periodic Mobile Station measurement reports from Abis interface is used to calculate the position of Mobile Station (MS). The location detection service model is designed based on the correlation of MS measurement reports data sets and Base Station (BTS) related data sets and hence requires no additional hardware modification. The location detection platform running results were presented and compared with the real world road tests, which indicate that this novel location detection service system can provide effective information on Mobile Station's position.

关键词： Mobile communication detection algorithms Roads Databases Base stations Correlation Servers

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A Novel Line detection Algorithm in Images Based on Improved Hough Transform and Wavelet Lifting Transform

A Novel Line Detection Algorithm in Images Based on Improved...

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2010 IEEE International Conference on Information Theory and Information Security(2010 IEEE 国际信息论与信息安全会议)

作者： Xiaochuan Zhao Peizhi Liu Min Zhang Xinxin Zhao North Institute of Computer Application Beijing China

Line detection in digital images is a fundamental aspect of many problems in computer vision. In the light of the problems, such as heavy computation and intensive memory occupation, existing in the Hough Transform, an improved fast line detection algorithm combining the time-frequency domain transform and the spatial domain transform is proposed. First, the wavelet lifting is used to extract low frequency profile information while restraining high frequency noises. Second, compute the gradient of the image and threshold it to obtain a binary image. Third, based on the principles that a line can be determined by two points and a line in the image is mapped to a point in the Hough Transform, followed the detection sequence from the local to the global, map the non-zero pixels into the accumulator cells with great probability instead of all accumulator cells. Last, examine the counts of the accumulator cells to determine the parameters of the lines in the image. Experimental results demonstrate that the improved fast line detection algorithm has the performance of lower computational complexity, smaller memory occupation, and stronger robustness.

关键词： detection algorithms Wavelet transforms Noise Memory management Pixel Image resolution

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Research of Image detection Based on Improved AdaBoost Algorithm

Research of Image Detection Based on Improved AdaBoost Algor...

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International Conference on Machine Vision and Human-Machine Interface (MVHI)

作者： Peng Wu Shenming Qu Comput. Center Henan Univ. Kaifeng China

In order to prevent more effectively the occurrence of the distortion of target weights' distribution and further reduce system errors, a comprehensive improvement has been conducted on the algorithm's weight updating and weight normalization to avoid the defects of the traditional AdaBoost image detection algorithm. It is proved that the improved algorithm is more effective.

关键词： Face detection Computer interfaces Computer vision Distributed computing Machine vision Man machine systems Computer errors detection algorithms Degradation Boosting

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Video-based intelligent multi-drive vehicle retrograde detection

Video-based intelligent multi-drive vehicle retrograde detec...

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Congress on Image and Signal Processing, CISP

作者： Yinghong Li Yan Zhang Zhengxi Li Institute of Intelligent Transportation System North-China University of Technology Beijing China

This paper presents a video-based intelligent multidrive vehicle retrograde detection algorithm. Through the vehicle detection and tracking to determine the traffic flow direction on the road, compare the movement direction of vehicles and the traffic flow direction on the road to realize intelligent retrograde detection of multi-drive vehicles. Experiments show that the method is simple and effective. It can detect the retrograde vehicles in real-time and make the appropriate treatment.

关键词： Vehicles Roads detection algorithms Vehicle detection Target tracking Cameras Accuracy

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Distributed detection over time varying networks: Large deviations analysis

Distributed detection over time varying networks: Large devi...

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Annual Allerton Conference on Communication, Control, and Computing

作者： Dragana Bajović Dušan Jakovetić João Xavier Bruno Sinopoli José M. F. Moura The Institute for Systems and Robotics (ISR) Instituto Superior Técnico (IST) Lisbon Portugal The Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA Institute of Systems and Robotics (ISR) Instituto Superior Técnico Lisboa Portugal

We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation type algorithm, recently proposed. At each time step k, the state at each sensor is updated by a local averaging of the sensor's own state and the states of its neighbors (consensus) and by accounting for the new observations (innovation).We assume Gaussian, spatially correlated observations. We allow the underlying network be time varying, provided that the graph that collects the union of links that are online at least once over a finite time window is connected. This paper shows through large deviations that, under stated assumptions on the network connectivity and sensors' observations, the running consensus detection asymptotically approaches in performance the optimal centralized detection. That is, the Bayes probability of detection error (with the running consensus detector) decays exponentially to zero as k → ∞ at the Chernoff information rate-the best achievable rate of the asymptotically optimal centralized detector.

关键词： Detectors Data models detection algorithms Approximation algorithms Testing Symmetric matrices Approximation methods

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Direct Analog-to-QRS detection front-end architecture for wearable ECG applications

Direct Analog-to-QRS detection front-end architecture for we...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： R. Agarwal S. Sonkusale Nanoscale Integrated Sensors and Circuits Laboratory Department of Electrical and Computer Engineering Tufts University Medford MA USA

The aim of this paper is to demonstrate a highly integrated architecture for direct Analog-to-QRS detection for ultra low power single chip implementation suitable for long term wearable monitoring. A novel variable input-feature correlated asynchronous sampling technique is proposed for direct sampling-cum-data compression at the ECG electrodes with embedded mixed-signal algorithm for direct recognition and capture of the fiducial points of the ECG signal, to indicate the occurrence of the Q, R and S waves. Simulation results show two key advantages (a) large compression at the source and (b) direct analog to information conversion with 98% accuracy of detection, with extremely low power and storage requirements.

关键词： Electrocardiography Monitoring Converters Biomedical monitoring detection algorithms Noise Signal resolution

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