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检索条件"主题词=Detection algorithms"

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Fast and accurate vision-based pattern detection and identification

Fast and accurate vision-based pattern detection and identif...

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： J. Bruce M. Veloso Computer Science Department Carnegie Mellon University Pittsburgh PA USA

Fast pattern detection and identification is fundamental problem for many applications of real-time vision systems. The desirable characteristics for a solution are that it requires little computation, localizes a pattern robustly and with high accuracy, and can identify a large number of unique pattern identifiers so that many of these markers can be tracked within a field a view. We will present a system that can accurately track a broad class of patterns both accurately and quickly, when used with a suitable low level vision system that can return calibrated coordinates of regions in an image. Both pattern design and the detection algorithm are considered together to find a solution meeting the above criteria. Along the way, assumptions are verified to make informed choices without relying on guesswork, and allowing similar system to be designed on a solid experimental and statistical basis.

关键词： Machine vision Object detection Robot vision systems Cameras Algorithm design and analysis Computer science Application software Robustness detection algorithms Solids

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Storage-Based Anomaly Intrusion detection Technology Based on D-S Evidence Theory

Storage-Based Anomaly Intrusion Detection Technology Based o...

引用

International Conference on Computer and Electrical Engineering, ICCEE

作者： Jingfeng Xue Fengnian Zhao Xiaolin Zhao Gang Shu School of Software Beijing Institute of Technology Beijing China

The storage operation of normal process in host system is analyzed and an anomaly intrusion detection method based on d-s evidence theory for storage system is proposed. The detector fuses multiple signatures of storage data to decide whether the storage operation flow is normal. Furthermore, six groups of light-computation signatures of storage operation data are used to develop an efficient fusion mechanism to guarantee high performance of the algorithm. Experiment shows that high detection rate can be achieved by such fusion.

关键词： Intrusion detection Statistics Probability Computational complexity Quantization Detectors Fuses detection algorithms Galois fields Uncertainty

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Mean shift technique for image segmentation and Modified Canny Edge detection Algorithm for circle detection

Mean shift technique for image segmentation and Modified Can...

引用

International Conference on Communications and Signal Processing

作者： Nupur J. Gandhi Vandana J. Shah Ravindra Kshirsagar Department of Electronics & Communications Sarvajanik College of Engineering and Technology Surat Department of Electronics Nagpur University

Image segmentation is an important and challenging problem in an image analysis. Segmentation of objects in an image is even more difficult and computationally expensive. In this paper an unsupervised object based image segmentation that is mean shift clustering approach will be studied. One of the most important step is pre-processed image by a standard mean shift based segmentation, which preserves desirable discontinuities present in the image and guarantees over segmentation in the image in their Output. This type of mean shift segmentation technique which clusters the regions instead of image pixels mostly reduces the sensitivity to noise and hence enhances the overall segmentation performance. detection of circle is very important for initial stage of Mean Shift segmentation. It will first detect a circle with Circular Hough Transform and then with Modified Canny Edge detection Algorithm. The Modified Canny Edge detection Algorithm is very fast algorithm to detect circle from the images as compared to Circular Hough Transform.

关键词： Image segmentation Image edge detection Noise Transforms Merging Estimation detection algorithms

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A Failure detection Model Based on Message Delay Prediction

A Failure Detection Model Based on Message Delay Prediction

引用

International Conference on Grid and Cooperative Computing (GCC)

作者： Xiaoguang Ding Zhimin Gu Lei Shi Yaosen Hou School of Computer Science and Technology Beijing Institute of Technology Beijing China School of Information Engineering University of Zhengzhou Zhengzhou China

Failure detection is a key technology to implement a high reliable system. It is usually based on overtime mechanism to determine whether a process is failure or not. With the development of network, old failure detectors without adaptive mechanism can not meet the requirements of QoS of application all the time. Adaptive failure detection requires that the failure detectors can dynamically adjust the detecting quality according to the requirements of applications and the variations of network. A new failure detection model based on the predicted message delay is proposed in this paper. An adaptive failure detection algorithm is discussed and realized, which is based on the prediction from historical messages delay time. Experimental results show that the algorithm can satisfy the userpsilas demand of QoS on the failure detector to some extent.

关键词： Predictive models Detectors detection algorithms Quality of service Heart beat Delay effects Object detection Failure analysis Algorithm design and analysis Grid computing

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Real-time pitch detection on the PDA for cochlear implant applications

Real-time pitch detection on the PDA for cochlear implant ap...

引用

2007 IEEE Dallas Engineering in Medicine and Biology Workshop: Emerging Technologies for Healthcare and Quality of Life

作者： Rohith Ramachandran Philipos C. Loizou Department of Electrical Engineering University of Texas Dallas Richardson TX USA

There is currently a need in cochlear implants to develop speech coding algorithms that provide better access to pitch cues, known to be critical for music perception. Such algorithms require an estimate of the fundamental frequency (F0). This paper presents the implementation of a real-time pitch (F0) detector on a Personal Digital Assistant (PDA). The pitch detection algorithm is based on the autocorrelation function and is implemented real-time on a Dell AXIM Pocket PC. Its performance, in terms of F0 accuracy, is compared against that obtained by the pitch detection algorithm used in STRAIGHT. The implementation details and real-time performance measurements are also provided.

关键词： Cochlear implants Autocorrelation Frequency estimation Electrodes Personal digital assistants detection algorithms Speech coding Detectors Measurement Band pass filters

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detection Algorithm for Color Image by Multiple Surveillance Camera under Low Illumination Based-on Fuzzy Corresponding Map

Detection Algorithm for Color Image by Multiple Surveillance...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Yutaka Hatakeyama Masatoshi Makino Akimichi Mitsuta Kaoru Hirota Department of Computational Intelligence and Systems Science Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology Japan Customer Solutions Development Company Limited Japan

An objects detection algorithm for color dynamic images from two cameras is proposed for a real surveillance system under low illumination. It provides automatic calculation of a Fuzzy Corresponding Map and color similarity for lower luminance conditions, which detects small chromatic regions in CCD camera images under lower illumination. Experimental detection results for two dynamic images from real surveillance cameras in a downtown area in Japan under low luminance conditions show that the proposed algorithm has 15% improved accuracy compared with the independent detection algorithm in the same false alarm rate, which implementability for severe surveillance situation is discussed. The proposed algorithm is being considered for use in a low cost surveillance system at a relatively poor security downtown (shopping mall) area in Japan.

关键词： detection algorithms Color Surveillance Cameras Lighting Object detection Heuristic algorithms Charge coupled devices Charge-coupled image sensors Costs

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The Research on Collision detection Algorithm Based on Simulated Annealing in Visual Scene Simulation of Missile Attack

The Research on Collision Detection Algorithm Based on Simul...

引用

International Conference on Information Technology and Computer Science, ITCS

作者： Ziying Wang Ping Song Kejie Li Intelligent Robotics Institute School of AeroSpace Science and Engineering Beijing Institute of Technology Beijing China

In this paper, a new collision detection algorithm based on simulated annealing algorithm which is effective in searching optimal solution is presented. Basic principle of this new collision detection algorithm is as follows: The time variant parameter used for establishing objective function based on kinetic equation of missile and attacked objective is extracted firstly; Secondly, objective function adopted as condition of collision detection is constructed availing of extracted parameter; Finally, the optimal solution of objective function is got based on simulated annealing algorithm, and whether the collision happens is determined by the optimal solution. The simulated result proves this new algorithm is feasible.

关键词： detection algorithms Simulated annealing Layout Missiles Kinetic theory Aerospace simulation Computer simulation Computational modeling Intelligent robots Equations

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detection of semantic objects using description graphs

Detection of semantic objects using description graphs

引用

IEEE International Conference on Image Processing

作者： X. Giro F. Marques Technical University of Catalonia Catalonia Spain

This paper presents a technique to detect instances of classes (objects) according to their semantic definition in the form of a description graph. Classes are defined as combinations of instances of lower level semantic classes and allow the definition of a semantic tree that organizes classes in semantic levels. At the bottom level of the semantic tree, classes are defined by a perceptual model containing a list of low-level descriptors. The proposed detection algorithm follows a bottom-up/top-down approach, building semantic trees on a region-based representation of the media. The flexibility of the approach is assessed on different examples of planar objects, such as frontal faces, groups of islands, flags and traffic signs.

关键词： Object detection Tree graphs Indexing detection algorithms Face detection Traffic control Explosions Testing MPEG 7 Standard Image databases

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Non-background HOG for pedestrian video detection

Non-background HOG for pedestrian video detection

引用

International Conference on Natural Computation (ICNC)

作者： Jianming Qu Zhijing Liu School of Computer Science and Technology Xidian University Xi'an China

Histogram of Oriented Gradient (HOG) features are proved to be very effective for pedestrian detection in static image. However, most of the background information is wasted when the features are used to detect human in video. Especially in complex environment, the non-eliminated background gradient will affect the detection results. To improve the overall detection performance, a new feature named Non-background HOG is proposed which created a cell map using GMM for the procedure of image gradient calculation in HOG algorithm. This new algorithm not only is capable of reducing the influence of background gradient, but also speeds up the extraction running time. Evaluation experiment demonstrated that the non-background HOG algorithm gives a better performance than classic HOG in pedestrian video detection.

关键词： Feature extraction Humans Computer vision detection algorithms Histograms Support vector machines Training

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Fuzzy systems based automatic freeway incident detection

Fuzzy systems based automatic freeway incident detection

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： E.C.-P. Chang Texas Transportation Institute Texas A and M University College Station TX USA

This paper examines the feasibility of developing the fuzzy systems based automatic incident detection algorithms to improve the implementation of the real-time computerized freeway traffic management systems.

关键词： Fuzzy systems Traffic control detection algorithms Real time systems

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