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检索条件"主题词=change detection algorithms"

共 1588 条记录，以下是891-900 订阅

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A Mobile Robots PSO-Based for Odor Source Localization in Extreme Dynamic Advection-Diffusion Environment with Obstacle

A Mobile Robots PSO-Based for Odor Source Localization in Ex...

引用

IEEE SENSORS

作者： Wisnu Jatmiko Kosuke Sekiyama Toshio Fukuda Department Micro-Nano Systems Engineering University of Nagoya Nagoya Japan

The odor distribution advection-diffusion environments in obstacle environment have been developed. In real world the odor distribution are changing over time and multi peaks especially in obstacle environments. The purpose of developing this environment is to bridge the gap between the very complex hard to understand real-world problem (odor dispersion model) and all too simple toy problems (dynamic bit matching or moving parabola). Modified particle swarm optimization is a well-known algorithm, which can continuously track a changing optimum over time. We will adopt two types of PSO modification concepts to develop a new algorithm in order to control autonomous vehicles to solve odor source localization in real world environment. Firstly, PSO can be improved or adapted by incorporating the change detection and responding mechanisms for solving dynamic problems. Secondly, charged PSO, which is another extension of the PSO, has also been applied to solve dynamic problems. In order to control autonomous vehicles in more realistic condition from the viewpoint of robotic, where a speed limitation of the robot behavior and collision avoidance mechanism should be taken into consideration as well as the effect of noise and threshold value for the odor sensor response, also positioning error of GPS sensor of robot. Simulations illustrate that the new approach can solve such dynamic environment in advection-diffusion odor model problems even though in obstacle environments.

关键词： Mobile robots Vehicle dynamics Robot sensing systems change detection algorithms Remotely operated vehicles Bridges Particle swarm optimization Particle tracking Collision avoidance Working environment noise

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Multi-level Link Structure Analysis Technqiue for Detecting Link Farm Spam Pages

Multi-level Link Structure Analysis Technqiue for Detecting ...

引用

Web Intelligence and Intelligent Agent Technology Workshops (WI-IAT)

作者： Tan Su Tung Nor Adnan Yahaya S.M.F.D. Syed Mustapha Malaysia University of Science and Technology Malaysia British Telecommunications Public Limited Company UK

Link based ranking algorithms have been adopted by most search engines in ranking the importance of Web pages. As a majority of Web accesses are through the use of search engines, Web spammers have taken advantage of the vulnerability of link based ranking algorithms by creating many artificial references or links in order to acquire higher-than-deserved ranking in search engines' results which will generate higher traffic to their websites. Link farm spam refers to the technique used to create a network of heavy linked Web pages for this purpose. In this paper, an algorithm using multi-level link structure analysis technique is proposed for detecting link farm spam pages. This algorithm is an enhancement to seed and parental penalty algorithms proposed by Wu and Davison, 2005

关键词： Unsolicited electronic mail Search engines Web pages Algorithm design and analysis Clustering algorithms Intelligent agent change detection algorithms Programmable control Telecommunication traffic Degradation

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Video Syntactic Coding for Data Compression

Video Syntactic Coding for Data Compression

引用

IEEE International Symposium on Consumer Electronics (ISCE)

作者： S. Sheraizin S. Itzikowitz V. Sheraizin Computer Science Department Academic Studies Division College of Management Rishon Lezion Israel Research & Development Institute of Intelligent Video Systems Computer Science Department Academic Studies Division College of Management Rishon Lezion Israel

In this paper we present our new approach to video data preparation for a data compression enhancement named video data syntactic coding. Video data standard encoders MPEG, H.26x use data preparation (preprocessing) based on either data spatial and temporal filtering or on video sequence complexity analysis (by auxiliary encoder use) that is exploited for video filtering. However, preprocessing efficiency is only 10% up to 15%. Our video data syntactic coding presented here is based on both video content complexity assessment in accordance with the named standard encoding algorithm (MC-DPCM) and data filtering adopted to the video complexity and a digital visual perception. The complexity is estimated by data entropy calculation based on averaging of histogram frame-to-frame changes. In addition, the histogram change is used for detection of new details appearance and their in-frame position determination. The video data model is based on a detail visual perception, and the above video content analysis results provide effective video data pre-filtering. The developed video syntactic coding used together with H.264 standard encoders presents up to 25% data compression enhancement

关键词： Video compression Data compression Visual perception Histograms Transform coding Video sequences Encoding change detection algorithms Filtering algorithms Digital filters

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Sports Program Boundary detection

Sports Program Boundary Detection

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Regunathan Radhakrishnan Ajay Divakaran Isao Otsuka Mitsubishi Electric Research Laboratory Cambridge MA USA Advanced Technology Research & Development Center Mitsubishi Electric Corporation Limited Kyoto Japan

In the recent years, consumer devices that can record broadcast video have become prevalent. Such devices rely on the program guide information about a program start time and end time for recording. However, sports broadcasts can run over the specified time sometimes. In this paper, we propose a framework based on an audio classification framework to correctly detect the end of a sport broadcast so as to enable complete recording of the game. Our experimental results show that the proposed algorithm can detect sports program boundaries with a high accuracy

关键词： Broadcasting Layout Audio recording Video recording Broadcast technology change detection algorithms Buffer storage Laboratories Electronic mail Games

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Human Object Tracking Algorithm with Human Color Structure Descriptor for Video Surveillance Systems

Human Object Tracking Algorithm with Human Color Structure D...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Shao-yi Chien Wei-kai Chan Der-chun Cherng Jing-ying Chang Media IC and System Laboratory Graduate Institute of Electronics Engineering and Department of Electrical Engineering National Taiwan University Taipei Taiwan

Segmentation, tracking, and description extraction are important operations in smart camera surveillance systems. In this paper, a robust segmentation-and-descriptor based tracking algorithm is proposed. Segmentation is applied first, and description for each connected component is extracted for object classification to generate the video object masks. It can do segmentation, tracking, and description extraction with a single algorithm without redundant computation. In addition, a new descriptor for human objects, human color structure descriptor (HCSD), is also proposed for this algorithm. Experimental results show that the proposed algorithm can provide precise video object masks and trajectories. It is also shown that the proposed descriptor, HCSD, can achieve better performance than scalable color descriptor and color structure descriptor of MPEG-7 for human objects

关键词： Humans Video surveillance Smart cameras change detection algorithms Active contours Algorithm design and analysis Trajectory Indexing Robustness MPEG 7 Standard

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A Sinusoidal Model Approach to Acoustic Landmark detection and Segmentation for Robust Segment-Based Speech Recognition

A Sinusoidal Model Approach to Acoustic Landmark Detection a...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： T.N. Sainath T.J. Hazen MIT Computer Science and Artificial Intelligence Laboratory Cambridge MA USA

In this paper, we present a noise robust landmark detection and segmentation algorithm using a sinusoidal model representation of speech. We compare the performance of our approach under noisy conditions against two segmentation methods used in the SUMMIT segment-based speech recognizer, a full segmentation approach and an approach that detects segment boundaries based on spectral change. The word error rate of the spectral change segmentation method degrades rapidly in the presence of noise, while the sinusoidal and full segmentation models degrade more gracefully. However, the full segmentation method requires the largest computation time of the three approaches. We find that our new algorithm provides the best tradeoff between word accuracy and computation time of the three methods. Furthermore, we find that our model is robust when speech is contaminated by various noise types

关键词： Acoustic signal detection Speech recognition Acoustic noise Hidden Markov models Noise robustness Working environment noise Speech analysis Mathematical model change detection algorithms Error analysis

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A New Real-Time Eye Tracking for Driver Fatigue detection

A New Real-Time Eye Tracking for Driver Fatigue Detection

引用

International Conference on ITS Telecommunications (ITST)

作者： Zutao Zhang Jiashu Zhang School of Mechanical Engineering Southwest Jiaotong University Chengdu China Sichuan Key Laboratory of Signal and Information Processing Southwest Jiaotong University Chengdu China

Driver fatigue is one of the important factors that cause traffic accidents. The vision-based facial expression recognition technique is the most prospective method to detect driver fatigue. In this paper, we present a new driver fatigue detection based on unscented Kalman filter and eye tracking in this paper. The face is located using Haar algorithm firstly, which has good robustness in terms of head motions, variable lighting conditions, the change of hair and having glasses, etc. Secondly, the geometric properties and projection technique are used for eye location. Thirdly, we propose a new real time eye tracking method based on unscented Kalman Filter. Finally, driver fatigue can be detected whether the eyes are closed over 5 consecutive frames using vertical projection matching. The experimental results show validity of our method for driver fatigue detection under variable realistic conditions

关键词： Fatigue Face detection Eyes Road accidents Robustness Face recognition change detection algorithms Hair Glass Target tracking

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An Algorithm on Collision detection by Computing the Minimum Distance between Two Convex Polyhedra

An Algorithm on Collision Detection by Computing the Minimum...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Hanjun Jin Yanlin Wang Xiaorong Wang Jia Fu Department of Computer Science Central China Normal University Wuhan Hubei China

The problem of tracking the distance between two convex polyhedra is finding applications in many areas of robotics, including intersection detection, collision detection, and path planning. An algorithm for computing the minimum distance between two convex polyhedra is presented. The algorithm applies to polyhedral objects that can be represented as convex hulls of its vertex value in three-dimensional space. Nonlinear programming techniques are then employed to compute the minimum distance between two convex polyhedra, and according to the minimum distance, it can conclude whether or not the objects has collided at some time. The simulation results demonstrate the performance of this new method

关键词： Object detection change detection algorithms Inference algorithms Computer science Application software Orbital robotics Path planning Robot programming Computational modeling Virtual environment

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T-detectors Maturation Algorithm with in-Match Range Model

T-detectors Maturation Algorithm with in-Match Range Model

引用

International IEEE Conference on Intelligent Systems, IS

作者： Jungan Chen Zhejiang Wanli University Ningbo Zhejiang China

Negative selection algorithm is used to generate detector for change detection, anomaly detection. But it can not be adapted to the change of self data because the match threshold must be set at first. To solve the problem, I-TMA-GA and TMA-MRM inspired from the maturation of T-cells are proposed. But genetic algorithm is used to evolve the detector population with minimal selfmax. In this paper, to achieve the maximal coverage of nonselves, genetic algorithm is used to evolve the detector population with minimal match range with selfmax and selfmin. An augmented algorithm called T-detectors maturation algorithm based on min-match range model is proposed. The proposed algorithm is tested by simulation experiment for anomaly detection and compared with NSA, I-TMA-GA and TMA-MRM. The results show that the proposed algorithm is more effective than others

关键词： Detectors Genetic algorithms change detection algorithms Artificial immune systems Immune system Intelligent systems Testing Humans Intrusion detection Telephony

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Moving object segmentation based on wavelet transform and fuzzy clustering

Moving object segmentation based on wavelet transform and fu...

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Consumer Communications and Networking Conference, CCNC IEEE

作者： Haihua Liu Changsheng Xie Yi Lei Zhouhui Chen National Storage System Special Laboratory Huazhong University of Science and Technology Wuhan China College of Electronics and Information Engineering South Central University of Nationalities Wuhan China

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