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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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Research on automatic indication values of pointer gauges based on computer vision

Research on automatic indication values of pointer gauges ba...

引用

China international conference on Electricity Distribution (CICED)

作者： Shen, Xin Cao, Min Lu, Yong Zhang, Linshan Yunnan Elect Power Res Inst Kunming Peoples R China

ISBN: (纸本)9781467390682

This paper mainly discusses the application of computer visual technology in embedded image recognition system. We propose and realize a new system called automatic recognition system of analog display instruments using computer vision. After the brief introduction of the characteristics of computer visual technology and embedded system, this paper analyzes the principles and the developing status of computer visual technology used in embedded system, proposes the automatic recognition system of analog display instruments using computer vision, which is on the basis of the application characteristics. Its working principles are just like the principles of the visual system of human being, "analyzing" the images "viewed" by the system, and obtaining the information needed. This paper designs the software and hardware system through focusing on the digital image processing technology and the application circumstances of the embedded system. The following key problems have been studied: how to realize automatic recognition of analog display instruments, how to solve automatic judgment of different kinds of indicator dial, how to eliminate disturbance cased by light and circumstances while exact result, how to realize the image collecting with high quality while low cost, how to improve the efficiency of data collection and image recognition( speed and accuracy) and how to correspond the each module design in hardware and software to improve the system's performance and stabilization. At the end, this paper designs automatic recognition program of analog display instruments

关键词： computer vision pointer gauge Orthogonal Least Square(OLS) method improved angle method

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High speed edge detection implementation using compressor cells over rsda

High speed edge detection implementation using compressor ce...

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2016 international conference on Interfaces and Human computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and computer Graphics, Visualization, computer vision and image processing, CGVcvip 2016

作者： Abouelfarag, Ahmed El-Shenawy, Marwa Khatab, Esraa Department of Computer Engineering Arab Academy for Science Technology and Maritime Transport Egypt

ISBN: (纸本)9789898533524

Recently. computer vision is playing an important role in many essential applications, such as medical image analysis, visual surveillance, etc. Many of these applications are subject to a "real-Time constraint", therefore it requires a fast and reliable computation system. Edge detection is the approach used most frequently for segmenting images based on changes in intensity, it extracts important structural information needed for high-level functionality and reduces the amount of data that needs to be processed. There are various kernels employed to achieve edge detection, such as Sobel, Robert, and Prewitt, upon which, the most commonly used is Sobel. This paper introduces a novel type of operator cells on the Reconfigurable Static Data-flow Architecture (RSDA), which is a scalable architecture optimized for the computation of image and video. This enhancement shows significant improvement, as it decreases the computational 26%, compared to using the conventional adder cells, and also decreases the LUTs and hardware resources of the architecture. A comparison between the conventional adders and different types of compressors has been exploited based on results from simulation on Isim simulator and a flooring plan using PlanAhead tool.

关键词： Edge detection

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Multiple Object Tracking based on Modified Algorithm of GMMCP Tracker

Multiple Object Tracking based on Modified Algorithm of GMMC...

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IEEE international conference on Signal and image processing (ICSIP)

作者： Li Wei Li Xingwei Natl Def Univ Coll Machatron Engn Changsha Hunan Peoples R China

ISBN: (纸本)9781509023776

We formulate multiple object tracking (MOT) as a Generalized Maximum Multi Clique problem (GMMCP) without any simplified version in problem formulation or optimization, which makes full use of image evidence. Afterwards, we solve the GMMCP through Mixed Binary-Integer Program (MBIP) and obtain the final motion trajectories of the multiple objects. In order to improve the algorithm's performance, we employ Aggregated Dummy Nodes (ADN) and modify the feature of object appearance. We performed experiments and evaluated our algorithm on three video sequences including TUD-Stadtmitte, TUD-Crossing and Parking-Lot 2. We compared our method with some state-of-art methods and showed that the algorithm we proposed performs an excellent precision in multiple object tracking.

关键词： multiple object tracking GMMCP tracker Binary-Integer Program computer vision

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Implementation of HCI Software Interface based on image Identification and Segmentation Algorithms

Implementation of HCI Software Interface based on Image Iden...

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Online international conference on Green Engineering and Technologies (IC-GET)

作者： Zuo, Haichun Guangzhou Nanyang Coll Guangzhou 510900 Guangdong Peoples R China

ISBN: (纸本)9781509045563

In this paper, we propose the new implementation of HCI software interface based on the image identification and the segmentation algorithms. Human-computer interaction refers to using the dialogue between man and computer language, in a certain way of the interaction, to determine the task of the exchange of the information between people and the computer process. The meaning of the image recognition technology is very wide, mainly refers to through the computer, using mathematical method, a system for the front-end to obtain images of treatment have been carried out in accordance with the specific purpose. image segmentation is one of the most important content in the field of computer vision is the first to realize automatic image analysis and pattern recognition problem which is also one of the classic problems of image processing. We combine the mentioned techniques to form the optimized novel perspective of the HCI interface design that is innovative. The experimental simulation verifies the feasibility of the approach.

关键词： Software Interface image Identification image Segmentation HCI Algorithm Implementation

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An educational tool for understanding discrete Fourier transforms

An educational tool for understanding discrete Fourier trans...

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

作者： Deligiannidis, Leonidas Wentworth Institute of Technology Department of Computer Science and Networking 550 Huntington Avenue BostonMA02115 United States

ISBN: (纸本)1601324421

In this paper we present a light-weight image Analysis tool targeted at undergraduate students. More specifically, our tool enables undergraduate students to interact with the application in real time to understand how Fourier Transforms work (FT). This is achieved by displaying intermediate results in different windows in the application’s canvas, while the user interacts with the tool’s controls. The user is also able to add functionality to the tool or modify existing capabilities in order to understand better the way FTs work. This way, the students can introduce and experiment with new algorithms which can be implemented programmatically and incorporated in the tool’s library. © CSREA Press.

关键词： Discrete Fourier transforms

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Medical image Retrieval and Quantitative estimations via Ray-based Methods 26

Medical Image Retrieval and Quantitative estimations via Ray...

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26th international conference on computer Graphics and vision, GraphiCon 2016

作者： Esmaeilishahmirzadi, Nasibeh Institute for Information Technologies Mathematics and Mechanics Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia

The main goal of this paper is to review some existing text-based and content-based image retrieval systems and methods. The images should be indexed properly to be saved and retrieved. It is suggested although images have some features different from texts but some techniques in text retrieval such as artificial intelligence and relevance feedback can be used to improve the image retrieval systems. In addition, due to the importance of on-time diagnosis of lung cancer, an algorithm based on CT images processing is introduced. This proposed algorithm is described in order to determine area of tumor. The algorithm has three stages and result is shown in histogram of images. © Proceedings of the 26th international conference on computer Graphics and vision, GraphiCon 2016. All rights reserved.

关键词： Search engines

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An Aerocraft Photogrammetry Position Sensing System

An Aerocraft Photogrammetry Position Sensing System

引用

IEEE international conference on Signal and image processing (ICSIP)

作者： Xu, Tao Yang, Chao Cai, Bin Zhu, Yongli Syst Engn Res Inst Aviat Syst Res Dept Beijing Peoples R China

ISBN: (纸本)9781509023776

Landing aerial crafts, such as helicopters, on the board of naval vessels of small or medium size is a difficult and risky task for pilots since the tonnages are not large enough which makes the ships always swinging along with ocean waves. Thus the landing areas are moving all the way with six degrees of freedom randomly. Even, this mission will become dangerous and deadly when the weather is stormy. Here, we design a real-time and automatic position sensing system to track, locate and help a helicopter to land on deck safely under all weather conditions. For the sake of practical application, we have not only adopted some ready and mature computational technologies from image processing, photogrammetry and computer vision, but also chosen some simple but effective optical elements to reduce the computational complexity. The system is composed of camera units, image-processing unit, controlling system and fiber optical communication unit. Experimental results show our system is capable of all-weather, real-time, robust and automatic landing mission.

关键词： Photogrammetry position sensing camera calibration image processing

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Preliminary Investigation of Walking Motion Using a Combination of image and Signal processing

Preliminary Investigation of Walking Motion Using a Combinat...

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international conference on Computational Science and Computational Intelligence (CSIC)

作者： Schneider, Bradley Banerjee, Tanvi Wright State Univ Dept Comp Sci & Engn Fairborn OH 45324 USA

ISBN: (纸本)9781509055104

We present the results of analyzing gait motion in first-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera as well as validated using the ground truth dataset. Our preliminary results indicate that the extraction of activity from the video in a controlled setting shows strong promise of being utilized in different activity monitoring applications such as in the eldercare environment, as well as for monitoring chronic healthcare conditions.

关键词： video analysis motion and tracking algorithms and applications gait analysis activity detection

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image compression and denoising algorithm based on multi-resolution discrete cosine transform

Image compression and denoising algorithm based on multi-res...

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

作者： Zhao, Yanjun Belkasim, Saeid Computer Science Department Troy University TroyAL United States Computer Science Department Georgia State University AtlantaGA United States

ISBN: (纸本)1601324421

- Discrete cosine transform (DCT) and wavelet transform coding system are the most popular image compression methods. Although DCT has outstanding energy compaction properties, blocking artifacts impact its performance. Wavelet avoids blocking artifacts;it is also the most popular approach to doing image compression and denoising simultaneously. However wavelet has higher computational complexity. Exploring an image in different resolutions reveals its dominant information in comparison to redundant one. We propose a novel multi-resolution DCT;based on our multi-resolution DCT, we propose a novel algorithm to do image compression and denoising simultaneously. Our algorithm achieves multi-resolution analysis, avoids blocking artifacts, has excellent energy compaction property and is ideal for parallel computing. Compared to wavelet, our algorithm has good computation accuracy and efficiency. © CSREA Press.

关键词： Discrete cosine transforms

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MAX-MIN CONVOLUTIONAL NEURAL NETWORKS FOR image CLASSIFICATION 23

MAX-MIN CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE CLASSIFICATI...

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23rd IEEE international conference on image processing (ICIP)

作者： Blot, Michael Cord, Matthieu Thome, Nicolas Univ Paris 06 Sorbonne Univ CNRS LIP6 UMR 7606 4 Pl Jussieu F-75005 Paris France

ISBN: (纸本)9781467399616

Convolutional neural networks (CNN) are widely used in computer vision, especially in image classification. However, the way in which information and invariance properties are encoded through in deep CNN architectures is still an open question. In this paper, we propose to modify the standard convolutional block of CNN in order to transfer more information layer after layer while keeping some invariance within the network. Our main idea is to exploit both positive and negative high scores obtained in the convolution maps. This behavior is obtained by modifying the traditional activation function step before pooling. We are doubling the maps with specific activations functions, called MaxMin strategy, in order to achieve our pipeline. Extensive experiments on two classical datasets, MNIST and CIFAR-10, show that our deep MaxMin convolutional net outperforms standard CNN.

关键词： Convolutional neural network pooling activation function invariance image representation classification

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