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检索条件"任意字段=International Conference on Computer Vision and Image Processing, CVIP 2016"

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Using Web images as Additional Training Resource for the Discriminative Generalized Hough Transform 6

Using Web Images as Additional Training Resource for the Dis...

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6th international conference on image processing Theory, Tools and Applications (IPTA)

作者： Mader, Alexander Oliver Schramm, Hauke Meyer, Carsten Kiel Univ Appl Sci Inst Appl Comp Sci Kiel Germany Univ Kiel CAU Fac Engn Dept Comp Sci Kiel Germany

ISBN: (纸本)9781467389105

Many algorithms in computer vision, e.g., for object localization, are supervised and need annotated training data. One approach for object localization is the Discriminative Generalized Hough Transform (DGHT). It achieves state-of-the-art performance in applications like iris and epiphysis localization, if the amount and quality of training data is sufficient. This motivates techniques for extending the training corpus with limited manual effort. In this paper, we propose an active learning scheme to extend the training corpus by automatically and efficiently harvesting and selecting suitable Web images. We aim at improving localization performance, while reducing the manual supervision to a minimum. Our key idea is to estimate the benefit of a particular candidate Web image by analyzing its Hough space generated using an initial DGHT model. We show that our method performs similarly to a manual selection of Web images as well as a computationally intensive state-of-the-art approach.

关键词： Dataset Expansion Active Learning image Selection Object Localization Discriminative Generalized Hough Transform

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Differential evolution algorithm-based range image registration with a novel point descriptor

Differential evolution algorithm-based range image registrat...

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2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Li, Taifeng Gao, Liang Pan, Quanke Li, Peigen State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)1601324421

Range image registration plays increasingly important role in a variety of research fields. In general, the registration results are sensitive to many practical factors, such as the sizes, geometries, and initial positions of the range images. This paper is such an attempt to register two range images with different sizes under complex initial situations. First, in coarse registration, a novel point descriptor is designed based on the electrostatic field theory. In term of the identified properties space, a good source of prior information is achieved. Then, combine with the coarse registration, an enhanced differential evolution algorithm is proposed for fine registration. Experiment results reveal that the proposed methods are able to provide competitive results to solve the challenging registration problems when compared with the other methods. © CSREA Press.

关键词： Optimization

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Real-Time image Distortion Correction: Analysis and Evaluation of FPGA-Compatible Algorithms

Real-Time Image Distortion Correction: Analysis and Evaluati...

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international conference on Reconfigurable Computing and FPGAs (ReConFig)

作者： Di Febbo, Paolo Mattoccia, Stefano Dal Mutto, Carlo Univ Bologna DISI Bologna Italy Aquifi Inc Palo Alto CA USA

ISBN: (纸本)9781509037070

image distortion correction is a critical preprocessing step for a variety of computer vision and image processing algorithms. Standard real-time software implementations are generally not suited for direct hardware porting, so appropriated versions need to be designed in order to obtain implementations deployable on FPGAs. In this paper, hardware-compatible techniques for image distortion correction are introduced and analyzed in details. The considered solutions are compared in terms of output quality by using a geometricaln-error-based approach, with particular emphasis on robustness with respect to increasing lens distortion. The required amount of hardware resources is also estimated for each considered approach.

关键词： Field programmable gate arrays (FPGA)

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Simulation-based visual analysis of individual and group dynamic behavior

Simulation-based visual analysis of individual and group dyn...

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2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Gasiorowski, Pawel Vassilev, Vassil Ouazzane, Karim Vinyl Factory London United Kingdom School of Computing London Metropolitan University London United Kingdom

ISBN: (纸本)1601324421

The article presents a new framework for individual and group dynamic behavior analysis with wide applicability to video surveillance and security, accidents and safety management, customer insight and computer games. It combines graphical multi-agent simulation and motion pattern recognition for performing visual data analysis using an object-centric approach. The article describes the simulation model used for modeling the individual and group dynamics which is based on the analytical description of dynamic trajectories in closed micro-worlds and the individual and group behavior patterns exhibited by the agents in the visual scene. The simulator is implemented using 3D graphics tools and supports real-time event log analysis for pattern recognition and classification of the individual and group agent’s behavior. © CSREA Press.

关键词： computer games

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Real-Time Detection of Hand Gestures 21

Real-Time Detection of Hand Gestures

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21st international conference on Methods and Models in Automation and Robotics (MMAR)

作者： Muzyka, Piotr Frydrysiak, Marek Roszkowska, Elzbieta Wroclaw Univ Technol Elect Fac PL-50370 Wroclaw Poland Wroclaw Univ Technol Fac Elect Dept Cybernet & Robot PL-50370 Wroclaw Poland

ISBN: (纸本)9781509018666

This paper presents one of the approaches to the gesture recognition problem, which might be valuable in development of social robots, companions for deaf-mute people or in design of new control methods. A universal PC application for gesture recognition in image sequence acquired from a simple USB camera in real-time was made. The application recognises hand gestures which indicate chosen letters from the sign language alphabet and can be adjusted to any hand-shape pattern. The algorithm is resistant to most lighting changes, different sizes and shapes of users' hands and background patterns.

关键词： Gesture recognition Pattern matching image processing computer vision NI vision

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Low-latency image processing for vision-based navigation systems

Low-latency image processing for vision-based navigation sys...

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2016 IEEE international conference on Robotics and Automation, ICRA 2016

作者： Čížek, Petr Faigl, Jan Masri, Diar Dept. of Computer Science Faculty of Electrical Engineering Czech Technical University in Prague Czech Republic

ISBN: (纸本)9781467380263

This paper concerns a problem of the latency reduction in the vision-based mobile robot navigation, which is considered as the crucial system property to determine a control command based on visual data in practical deployments of mobile robots. The problem is addressed by a processor centric FPGA-based System-on-Chip design allowing power and computationally efficient on-line image processing. The proposed architecture is considered in an autonomous vision-based navigation with a teach-and-repeat algorithm based on detection and tracking of image salient points. The architecture has been evaluated and compared with a CPU-based solution on different platforms and the results indicate that the proposed FPGA-based implementation outperforms pure CPU solutions in the overall latency, speed, and power consumption. © 2016 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Review on image segmentation based on color space and its hybrid

Review on image segmentation based on color space and its hy...

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2016 international conference on Control Instrumentation Communication and Computational Technologies, ICCICCT 2016

作者： Maheswari, S. Korah, Reeba Department of Electronics Sathyabama University Chennai India Alliance University Bangalore India

ISBN: (纸本)9781509052400

In the field of image processing, to be more specific new technologies are emerging in the domain of segmentation. This is because the new change that has taken place in computer processing application using color images hence color image segmentation is a kind of interest for the recent researchers. In image segmentation, color space plays a vital role. Different types of color space are RGB, HSV, and CIE XYZ etc. The RGB color space is not trust worthy or very accurate for computer vision applications. It is unsuitable for an application like human hand tracking and gesturing. This paper gives a review of the use of different focus of color space like RGB and HSV, as well as for hybrid combination of RGB-HSV. A hybrid technique is proposed that can produce complete information even in a poor background and can give improved color preserve information which is highly useful for hand gesturing. © 2016 IEEE.

关键词： image segmentation

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An Active Contour Method Using Harmonic Mean

An Active Contour Method Using Harmonic Mean

引用

IEEE international conference on Signal and image processing (ICSIP)

作者： Razi, Amir Wang, Wei-Wei Feng, Xiang-Chu Xidian Univ Sch Math & Stat Xian Shaanxi Peoples R China

ISBN: (纸本)9781509023776

Active Contour method has been shown very effective in detecting the contour of region(s)-of-interest(ROI) and is widely used in image processing and computer vision. In this work, we aim to improve the performance of Zhang's method in detecting boundary of ROIs. Specifically, we will generalize the CV energy functional and give a new special case. The new energy functional penalize the approximation error (of the original image by a constant) weaker than the CV energy functional, which can better preserve the subtle difference between the intensity of ROIs and that of the background, thus can effectively segment images, especially images with low contrast. The resulted two-phase constant approximation is the harmonic mean instead of the arithmetic mean. Based on this, we improve Zhang's active contour method by using the harmonic mean. We apply the proposed method on synthetic and real images and the segmentation results show that the proposed method is robust to noise and intensity contrast. Additionally, the proposed method is less sensitive than Zhang's method to parameter selection.

关键词： image segmentation active contour chan-vese model level set signed pressure force

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INTELLIGENT EMBEDDED VIDEO MONITORING SYSTEM FOR HOME SURVEILLANCE

INTELLIGENT EMBEDDED VIDEO MONITORING SYSTEM FOR HOME SURVEI...

引用

international conference on Inventive Computation Technologies (ICICT)

作者： Shete, Virendra V. Ukunde, Niraj MITCOE Dept Elect & Telecommun Pune Maharashtra India

ISBN: (纸本)9781509012855

Since few years there is tremendous growth in the research of surveillance system especially in computer vision based surveillance system. This paper proposes a monitoring system which includes motion detection algorithm is implemented along with some alarming features. The system proposed in this paper is IOT based image processing unit with internet connectivity so that data can be transferred to any remote server for example Cloud. The motion detection feature of a system provides necessary isolation of most significant video clips that eliminates time consuming reviewing process required in normal video surveillance system. The main idea behind this system is to detect the presence of any moving object especially a human and then start recording a video from the motion is detected. The video clip can be stored locally as well as uploaded to cloud server so that it can be viewed from anywhere in the world and necessary alarms then generated by the system. There are several micro controllers are available that can be interfaced along with digital camera to achieve this goal.

关键词： Digital image processing motion detection computer vision video surveillance

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The Development of Markov Random Field Theory and Applications on image Segmentation Algorithm

The Development of Markov Random Field Theory and Applicatio...

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international conference on Communication and Electronics Systems (ICCES)

作者： Zhang, Renqian Huang, Yuru Fu, Sirui Fudan Univ Renqian Zhang Elect Engn Informat Dept Shanghai Peoples R China Beijing Univ Technol Beijing Peoples R China Lanzhou Univ Lanzhou Peoples R China

ISBN: (纸本)9781509010660

image segmentation algorithm is to divide the images into several regions with specific and unique characteristics, and is an important technology to extract the interested target. image segmentation is the key step to realize the research from general image processing into image analysis, and is vital preprocessing method of image recognition and computer vision. We cannot obtain correct recognition if we do not have correct segmentation. Nevertheless, the only basis of segmentation process is brightness or color of pixels in an image. In the processing of computer automatic segmentation, we experience several problems, such as uneven illumination, effect of noise, indistinct part in image, and shadow, and these factors may cause false segmentation. In order to overcome the disadvantages of the traditional segmentation algorithm, in this paper, we propose a novel segmentation algorithm based on Markov Random Field. The segmentation algorithm proposed in this paper is based on Markov Random Field Mode and Bayesian theory, and we determine the objective function in image segmentation problem on the basis of optimality criterion of statistical decision and estimation theory. Some optimization algorithms are used to obtain the maximum possible distribution of Markov Random Field which satisfy these conditions. The experimental result reflects the effectiveness and robustness of our algorithm. As a supplement, we analyze the development trend of the Markov Random Field theory.

关键词： Markov Random Field image segmentation Bayesian theory mathematical optimization algorithm design

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