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检索条件"主题词=change detection algorithms"

共 1588 条记录，以下是551-560 订阅

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Ageing Adaptation for Multimodal Biometrics using Adaptive Feature Set Update Algorithm

Ageing Adaptation for Multimodal Biometrics using Adaptive F...

引用

IEEE International Advance Computing Conference, IACC

作者： H B Kekre V A Bharadi NMIMS University Mumbai Maharashtra India

Multimodal Biometrics is an emerging domain in biometric technology where more than one biometric trait is combined to improve the performance. The biometric system take Face, Fingerprint, Voice, Handwritten Signatures, Retina, Iris, Gait, Palm print, Ear & Hand geometry as common features. Human is identified by correct matching of these features. However, features like face, voice, and signature have low permanence and they change with time. Ageing of human, as well as other psychological & environmental conditions cause gradual change in these features. While enrolling feature set we don't consider this factor. Here we propose a new concept that can be used in designing future multimodal biometrics systems which can adapt to the change in the biometrics features like face, voice, signature, and gait over the time or any other factor without compromising the security. Regression based technique can be used to detect change. This algorithm requires use of at least one biometric feature which has very low variance or high degree of permanence, like Fingerprint, Iris, Retina etc. This algorithm can address the problem of false rejection caused by sustained change in biometric features due to Ageing or any other factor without the need of re-enrollment of feature set.

关键词： Aging Biometrics Fingerprint recognition Retina Iris Humans change detection algorithms Ear Geometry Psychology

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Improved Shape Context algorithm for online fast recognition -an application in pedestrian detection from a moving vehicle

Improved Shape Context algorithm for online fast recognition...

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IEEE Symposium on Intelligent Vehicle

作者： Min Wang Jian-Qing Wang Hong Qiao Xian-Bin Cao Institute of Automation Chinese Academy and Sciences Beijing China School of Computer Science University of Manchester Institute of Science and Technology Manchester UK School of Informatics University of Manchester Institute of Science and Technology Manchester UK Laboratory of Complex Systems and Intelligent Science Institute of Automation Chinese Academy and Sciences Beijing China Department of Computer Science and Technology University of Science and Technology Hefei China

ISBN: (纸本)9781424435036

Shape context algorithm is a recently proposed good method for object recognition. It is robust under small geometrical distortions and occlusion, invariant under scaling, translation, and change of illumination. However, because of its computational complexity, this algorithm is not suitable for online recognition. In this paper, we proposed an improved shape context algorithm which introduces an optimal hierarchical structure and gives new reference points selection criteria. Compared with the original shape context algorithm, the improved algorithm keeps the recognition accuracy and reduces the computational cost greatly. The good experimental results reveal that, this new algorithm can be applied to the pedestrian detection system online, which is an important research topic in intelligent transportation.

关键词： Shape Vehicle detection Vehicles change detection algorithms Intelligent transportation systems Object recognition Robustness Lighting Computational complexity Computational efficiency

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A Cropping Robust Geometric Distortion Correcting Algorithm for Watermarked Image Based on SIFT

A Cropping Robust Geometric Distortion Correcting Algorithm ...

引用

Congress on Image and Signal Processing, CISP

作者： Zhen-hong Li Hui-zhong Wu Institute of Computer Science and Technology Nanjing University of Science and Technology of PLA Nanjing China Institute of Computer Science and Technology Nanjing University of Science &Technology Nanjing China

This paper proposes a cropping robust geometric distortion correcting algorithm for watermarked image using scale invariant feature transform. Centroid of the original watermarked image is calculated, and the features extracted from the triangles composed of the centroid and the scale invariant feature transform feature points are used to estimate the position of the point in attacked image that correspond to the centroid extracted earlier in original watermarked image, then the geometric distortion can be detected and recovered using centroid angle and centroid distance features extracted from the well matched scale invariant feature transform feature points. Simulation results show that the proposed algorithm can correct the geometrical distortion of watermarked image efficiently.

关键词： Robustness Watermarking Feature extraction Frequency synchronization change detection algorithms Paper technology Solid modeling Computer science Image analysis Algorithm design and analysis

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A P2P-Based Distributed detection Scheme against DDoS Attack

A P2P-Based Distributed Detection Scheme against DDoS Attack

引用

International Workshop on Education Technology and Computer Science, ETCS

作者： Zaihong Zhou Dongqing Xie Wei Xiong School of Computer and Communications Hunan University Changsha China School of Computer Science and Educational Software Guangzhou University Guangzhou China

The distributed hosts in the Internet are organized into a P2P network by chord protocol for detection. The detection node uses the CUSUMpsilas sensitivity to the slight change to detect the change in the amount of packets to destination address. Upon the abnormality detected, it is broadcast based on the node trust. The response nodes use space similarity algorithm to calculate the similarity between request node and response node. The victim end makes a comprehensive decision whether the DDoS attack *** scheme detects DDoS at the source end; it can prevent the DDoS attack by means of forged IP address and random IP address and trace the origin of the attack hosts. The experimental results indicate that our scheme has better performance than CUSUM and time similarity algorithm single deployed. It can reach as high as 96.1% detection rate and with only 6.9% false positives rate.

关键词： Computer crime Broadcasting change detection algorithms Protocols Scalability Computer science Computer networks Distributed computing IP networks detection algorithms

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Optimum Segmentation of Digital Planar Curves Using Quadric Bézier Curves

Optimum Segmentation of Digital Planar Curves Using Quadric ...

引用

International Conference on Information and Computing Science, ICIC

作者： Tianxiang Zhou Haiyan Shi Houtian Zheng Qiming Wang Youmei Li Department of Computer Science Shaoxing College of Arts and Sciences Shaoxing China

This paper presents a dynamic programming algorithm to detect dominant points within a planar digital curve by approximating the given curve with quadric Bezier curves. Normally, people use cubic or higher curves to piecewise approximate a given curve, and the main job is to achieve an accurate approximation instead of dominant point detection. While using cubic or higher curves in the process of detecting dominant points of a planar curve, although a higher accuracy is achieved, the computational complexity is high too. In this paper we propose an algorithm using quadric Beziers instead of circular arcs and lines to approximate the given curve. Compare with previous algorithms our method gets more reasonable results without increasing the computational complexity.

关键词： Dynamic programming Heuristic algorithms change detection algorithms Turning Iterative algorithms Computational complexity Filtering Approximation algorithms Computer science Educational institutions

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Image Reconstruction Algorithm Based on Inverse Problem for Multi-Excitation-Modes Electromagnetic Tomography System

Image Reconstruction Algorithm Based on Inverse Problem for ...

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International Conference on Innovative Computing, Information and Control (ICICIC)

作者： Min He Xiaoyan Xu Department of Electrical Engineering Shanghai Maritime University Shanghai China

Electromagnetic tomography (EMT) sensing system with multi-excitation-modes is introduced. It can produce three excitation modes, among which the quasi-parallel excitation mode can give more independent projections than the parallel mode and produces relatively more even sensitivity distribution than the coil-pair mode. A new kind of image reconstruction algorithm based on inverse problem is proposed for the quasi-parallel excitation mode. The simulated results prove that this algorithm performs better than the former algorithms.

关键词： Image reconstruction Inverse problems Electrodes Iterative algorithms Magnetic materials Computed tomography Green's function methods Control systems change detection algorithms Magnetic fields

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Topography-dependent motion compensation: Application to UAVSAR data

Topography-dependent motion compensation: Application to UAV...

引用

IEEE National Conference on Radar

作者： Cathleen Jones Scott Hensley Thierry Michel Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

The UAVSAR L-band synthetic aperture radar system has been designed for repeat track interferometry in support of Earth science applications that require high-precision measurements of small surface deformations over timescales from hours to years. Conventional motion compensation algorithms, which are based upon assumptions of a narrow beam and flat terrain, yield unacceptably large errors in areas with even moderate topographic relief, i.e., in most areas of interest. This often limits the ability to achieve sub-centimeter surface change detection over significant portions of an acquired scene. To reduce this source of error in the interferometric phase, we have implemented an advanced motion compensation algorithm that corrects for the scene topography and radar beam width. Here we discuss the algorithm used, its implementation in the UAVSAR data processor, and the improvement in interferometric phase and correlation achieved in areas with significant topographic relief.

关键词： Motion compensation change detection algorithms Surface topography Layout L-band Radar tracking Interferometry Geoscience Radar detection Error correction

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Polymorphic Worm detection Using Signatures Based on Neighborhood Relation

Polymorphic Worm Detection Using Signatures Based on Neighbo...

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IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Jie Wang Jianxin Wang Yu Sheng Jianer Chen School of Information Science and Engineering Central South University Changsha China

In recent years, worm signatures suffer from difficulties to detect polymorphic worms because these worms can change their patterns dynamically. In this paper, a class of neighborhood-relation signatures (NRS) are proposed, including 1-NRS, 2-NRS and (1,2)-NRS. NRS can be used for detecting polymorphic worms since these worms often remain the same relationship between bytes in changing their patterns. Two signature generation algorithm based on expectation-maximization (EM) and Gibbs Sampling are designed to generate NRS. We perform extensive experiments to demonstrate the effectiveness of NRS and the correctness of the process of signatures generation. Experiment results show that our approach of defending polymorphic worm based on NRS is more effective than other approach based on existed signatures.

关键词： Atherosclerosis Payloads Cryptography Intrusion detection Frequency Sampling methods Internet High performance computing Information science change detection algorithms

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Design of Wetland-Ecological Corridor Using Multi-Scale Remote Sensing Image Segmentation Method

Design of Wetland-Ecological Corridor Using Multi-Scale Remo...

引用

Congress on Image and Signal Processing, CISP

作者： Bo Kong Wei Deng He-Ping Tao Huan Yu Chinese Academy of Sciences Institute of Mountain Hazards and Environment Chengdu Sichuan China Chinese Academy of Sciences Northeast Institute of Geography and Agricultural Ecology Changchun Jilin China

For the ecological environment and bio-diversity protection at Jiansanjiang area, China, thesis adopted multi-scale remote sensing image segmentation method to detect an ecological corridor between two national nature reserves Sanjiang(SJNR) and Honghe(HHNR). The width of this corridor was detected by calculating the division threshold value of NDVI standardized change intensity index. And the structure of corridor was designed using a moving window algorithm and a K-means cluster analysis algorithm. The results showed that: (1) the division threshold value was set at 20%, background noise was 9.43%, optimal width of wetland ecological corridor was 1298 m. (2)Cluster c1, c2, c3 and c4 classes of 8 human disturbance intensity types were the weakest regions affected by human disturbance in the primitive ecological environment of Nong river, Wusuli river, Sanjiang nature reserve and Honghe nature reserve etc. To construct wetland ecological corridor, cl, c2, c3 and c4 respectively defined as 'core', 'test', 'edge', 'buffer' zone between two nature reserves. (3)Swamp at core zone accounted for 75%, the high accuracy was 93.7%, swamp at test zone accounted for 72.2% and the accuracy was 75.79%, margin and buffer had the effect of edge guardrail, buffer width was 945 m. This study provided a reliable scientific reference for wetland ecological corridor construction and restoration.

关键词： Remote sensing Image segmentation Algorithm design and analysis change detection algorithms Clustering algorithms Humans Rivers Testing Protection Background noise

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A Novel Interacting Multiple Model Algorithm Based on Multi-sensor Optimal Information Fusion Rule

A Novel Interacting Multiple Model Algorithm Based on Multi-...

引用

2009 American Control Conference (ACC 2009)

作者： Xiaoyan Fu Yingmin Jia Junping Du Shiying Yuan Seventh Research Division Beihang University (BUAA) Beijing 100083 P.R. China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 P.R. China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan P.R. China

ISBN: (纸本)9781424445233

In this paper, a novel interacting multiple model (IMM) algorithm is proposed, which utilizes a multi-sensor optimal information fusion rule to combine multiple models in the linear minimum variance sense instead of famous Bayes' rule. Furthermore, the diagonal matrices are used as the updated weights of models, which are applied to distinguish the effects produced by different dimensions of state, so the new algorithm is named as diagonal interacting multiple model (DIMM) algorithm. Extensive Monte Carlo simulations indicate that the proposed DIMM algorithm has better accuracy of estimation than the IMM algorithm with no increase in the execution time, which confirm that the DIMM algorithm is a competitive alternative to the classical IMM algorithm.

关键词： Covariance matrix State estimation change detection algorithms Laser radar Optimal control Radar tracking Target tracking Radar detection Laser modes Laser transitions

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