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Design of Smart Video Surveillance System for Indoor and Outdoor Scenes 22

Design of Smart Video Surveillance System for Indoor and Out...

引用

2017 22nd International conference on Digital Signal processing (DSP)

作者： Kumar, Himanshu Bhattacharya, Saumik Thomas, Sinnu Susan Gupta, Sumana Venkatesh, K. S. IIT Kanpur Dept Elect Engn Kanpur Uttar Pradesh India

ISBN: (纸本)9781538618950

Smart video surveillance of indoor and outdoor scenes is a challenging task for modern surveillance systems. Different imaging conditions like bad illumination, adverse weather, etc., makes the surveillance process difficult. Recently, researchers have proposed smart surveillance systems with additional features for more accurate monitoring of events, but not much attention is paid to improve the system such that the monitoring process consumes as minimum resources as possible. In this paper, we propose a novel surveillance system that enhances visibility in adverse weather conditions and summarizes the captured videos automatically to reduce storage space. As the summarization process is based on the events in a scene, video interpretation becomes fast and easy. We propose perceptual features that can be used for more meaningful and robust summarization of the video than the existing summarization algorithms. We test the system for both indoor and outdoor scenes and show that the system works well even with multiple moving objects and complex motions.

关键词： Surveillance System image Enhancement Video Summarization

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Digital Computation of Fractional Fourier and Linear Canonical Transforms and Sparse image Representation 9

Digital Computation of Fractional Fourier and Linear Canonic...

引用

9th Annual Summit and conference of the Asia-Pacific-Signal-and-Information-processing-Association (APSIPA ASC)

作者： Koc, Aykut Ozaktas, Haldun M. Bartan, Burak Gundogdu, Erhan Cukur, Tolga ASELSAN Res Ctr Ankara Turkey Bilkent Univ Dept Elect Engn Ankara Turkey Stanford Univ Dept Elect Engn Stanford CA 94305 USA Bilkent Univ Natl Magnet Resonance Res Ctr UMRAM Ankara Turkey

ISBN: (纸本)9781538615423

Fast and accurate digital computation of the fractional Fourier transform (FRT) and linear canonical transforms (LCT) are of utmost importance in order to deploy them in real world applications and systems. The algorithms in O(NlogN) to obtain the samples of the transform from the samples of the input function are presented for several different types of FRTs and ICTs, both in 1D and 2D forms. To apply them in image processing we consider the problem of obtaining sparse transform domains for images. Sparse recovery tries to reconstruct images that are sparse in a linear transform domain, from an underdetermined measurement set. The success of sparse recovery relies on the knowledge of domains in which compressible representations of the image can be obtained. In this work, we consider two- and three-dimensional images, and investigate the effects of the fractional Fourier (FRT) and linear canonical transforms (LCT) in obtaining sparser transform domains. For 2D images, we investigate direct transforming versus several patching strategies. For the 3D case, we consider biomedical images, and compare several different strategies such as taking 2D slices and optimizing for each slice and direct 3D transforming.

关键词： Two dimensional displays image coding Fourier transforms Matrix decomposition Chirp image representation

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A Fast image Match Method Based on Water Wave Optimization and Gray Relational Analysis 9

A Fast Image Match Method Based on Water Wave Optimization a...

引用

9th IEEE International conference on Intelligent Data Acquisition and Advanced Computing systems - Technology and Applications (IDAACS)

作者： Xu, Wei Ye, Zhiwei Hou, Yuqian Hubei Univ Sch Comp Sci Wuhan Hubei Peoples R China

ISBN: (纸本)9781538606971

image match has been widely used in computer vision, pattern recognition and image processing. The matching efficiency is a focus topic in the field and some methods have been presented, such as simplification of similarity measure, application of optimization algorithms. Particle swarm optimization algorithm (PSO) has been utilized successfully for image match. However, it is easy to fall into the local optimum and the accuracy isn't good enough. The Water Wave Optimization (WWO) algorithm is a new evolutionary algorithm, which has been proved to be superior to many leading heuristic optimization algorithms on some benchmarking problems and engineering practical problems. In the paper, gray correlation analysis is used to simplify the calculation of similarity measure, and then WWO is employed to obtain the best matching position fast. Experimental results demonstrate that the proposed approach has higher efficiency and matching accuracy than GPSO and GABCA, meanwhile, it has good anti-noise performance.

关键词： image Match Water Wave Optimization Gray Relational Analysis

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image Reconstruction Based on combination of Modified CoSaMP and Orthogonal Wavelets

Image Reconstruction Based on combination of Modified CoSaMP...

引用

International conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT)

作者： Kanjalkar, Pramod M. Patil, Pooja T. Rao, M. Venu Gopal KL Univ Dept ECE Vaddeswaram 522 502 Andhra Pradesh India Vishwakarma Inst Technol Dept I&C Pune Maharashtra India

ISBN: (纸本)9781509061068

Compressive sensing is a signal processing technique for efficiently acquiring and reconstructing the signals by finding solutions to underdetermined linear systems. Non- linear optimization algorithms are used to solve underdetermined linear system. Greedy algorithms are widely used due to their low complexity than that of non-linear optimization algorithms. The problem with the Greedy algorithms is that some algorithms reduces reconstruction time but quality of reconstruction is affected while some require more reconstruction time with high quality of reconstruction. This is serious issue for the large size images. In this paper we have worked on CoSaMP algorithm and by modifying it we have reduced reconstruction time to reconstruct the sparse image with high quality of reconstruction which solves the above mention problem. Experimentation is performed on Modified CoSaMP using orthogonal filters like db4 , Haar and coif3 for different size of the images and results in terms of PSNR (peak signal to noise ratio), SSIM (Structural similarity index measurement) and runtime have been calculated and compared with OMP, ROMP, OLS and CoSaMP.

关键词： Compressive Sensing (CS) OMP (Orthogonal Matching Pursuit) ROMP (Regularized Orthogonal Matching Pursuit) OLS (Orthogonal Least Square) CoSaMP (Compressive Sampling Matching Pursuit) PSNR SSIM

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Implementation of Parallel Morphological Filter with Different Structuring Elements

Implementation of Parallel Morphological Filter with Differe...

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IEEE International conference on Power, Control, Signals and Instrumentation Engineering (IEEE ICPCSI)

作者： Pandey, Ritesh Kumar Mathurkar, S. S. GCOE Elect & Telecommun Dept Amravati India

ISBN: (纸本)9781538608142

This paper gives comparative analysis of parallel morphological filter with previously designed morphological filters. In this paper, implementation is done for gray image using various structuring elements. In past, multiple systems have been developed that have huge latency and fewer throughputs. This system reduced latency and improved through by using parallel approach. It provides a programmable and efficient implementation of basic morphological operators such as Dilation and Erosion using efficient parallel technique for different applications. It reduces processing time with respect to image dimension. Here performance analysis is based on different shape and size of structuring elements which support parallelism. MATLAB R2013a and Xilinx Design Suite 13.1 ISE are used for synthesizing this architecture that is verified by using Xilinx ISIM Simulator and prototyped on Spartan 3E FPGA Board. The proposed architecture is examined on different gray scale images.

关键词： Morphological filters image processing algorithms MATLAB simulation FPGA model Parallel Morphological Filter

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Development of Robotic Arm for Color Based Goods Sorter in Factory Using TCS3200 Sensor with a Web-Based Monitoring System

Development of Robotic Arm for Color Based Goods Sorter in F...

引用

International conference on Informatics and Computing (ICIC)

作者： Gregorio Imanuel Efraim Panie Achmad Benny Mutiara Faculty of Computer Science and Information Technology Gunadarma University Depok Indonesia

ISBN: (纸本)9781538669228

This system was made due to frequent errors in performing calculation of goods manufactured manually. The issues can be solved by using a TCS3200 sensor that can identifies the color of goods based on the color that has adjusted. The use of this sensor can be a solution that will help increase the productivity of companies. In this paper, it is described the development of color sensor that is used to sort items by color in the industrial world. Technology of this control system assist in making the Internet of Things products, as well as the mechanical systems in the form of a robot arm which consists of four micro servos are designed to pick up and put stuff in the container. The result of the arithmetic processing of goods displayed through a Web page that has been designed. The achievement is using a micro controller NodeMCU in programming sensor to sort items and adjust into the container. It is also included a solution to the color sensor to recognize colors using search algorithms.

关键词： image color analysis Robot sensing systems Color Servomotors Pins Manipulators

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Color image Sharpening Using DST-Based Matrix Low-Pass Butterworth Filters 4

Color Image Sharpening Using DST-Based Matrix Low-Pass Butte...

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IEEE International conference on Consumer Electronics - Taiwan (ICCE-TW)

作者： Tseng, Chien-Cheng Lee, Su-Ling Natl Kaohsiung First Univ Sci & Technol Kaohsiung Taiwan Chang Jung Christian Univ Tainan Taiwan

ISBN: (纸本)9781509040179

In this paper, a color digital image sharpening method is developed by using discrete sine transform (DST) and matrix low-pass Butterworth filters. First, the DST method is used to design matrix Butterworth filters. Then, the un-sharp masking method and the designed matrix low-pass Butterworth filter are employed to develop a color image sharpening algorithm. Finally, Lena digital color image is used to demonstrate the usefulness of the proposed sharpening approach.

关键词： Low pass filters Band-pass filters Color Digital images Filtering algorithms image color analysis Transforms

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Deep Convolutional Networks for Human Sketches by means of the Evolutionary Deep Learning 17

Deep Convolutional Networks for Human Sketches by means of t...

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Joint 17th World Congress of International-Fuzzy-systems-Association / 9th International conference on Soft Computing and Intelligent systems (IFSA-SCIS)

作者： Fujino, Saya Mori, Naoki Matsumoto, Keinosuke Osaka Prefecture Univ Coll Engn Naka Ku 1-1 Gakuencho Sakai Osaka 5998531 Japan Osaka Prefecture Univ Grad Sch Engn Naka Ku 1-1 Gakuencho Sakai Osaka 5998531 Japan

ISBN: (纸本)9781509049172

Recognition of human sketches is one of the most interesting and difficult issues in image recognition. Recently, deep convolutional neural networks (DCNNs) have been successfully applied to various image recognition tasks. Though the DCNN is a very powerful method, the high computational effort required to tune its hyperparameters represents a critical problem. In this paper, we propose a novel method called evolutionary deep learning (evoDL) that uses a genetic algorithm in order to obtain effective deep learning networks. The generalization ability of the network structure obtained using the proposed method is confirmed by a computer experiment.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Hybrid CPU and GPU Computation to Detect Lung Nodule in Computed Tomography images

Hybrid CPU and GPU Computation to Detect Lung Nodule in Comp...

引用

International conference on Informatics and Computing (ICIC)

作者： I Wayan Budi Sentana Naser Jawas Anggun Esti Wardani Department of Information Systems Bali State Polytechnic J1. Raya Bukit Jimbaran Badung Bali Indonesia Department of Computer System STMIK STIKOM Bali Jalan Raya Puputan No. 86 Renon Denpasar Indonesia Radiology Unit Airlangga university Hospital Jalan Mayjen Dr. Moestopo No. 6–8 Surabaya Indonesia

ISBN: (纸本)9781538669228

Lung Nodule is a white patch on the thorax medical image, usually used as an early marker of lung cancer. Although there were some research deals with lung nodule detection, but none of those researches tailoring Graphical processing Unit (GPU) to assist the computing process. This research aims to produce algorithms that can detect lung nodules automatically in CT images, by utilizing a combination of hybrid computing between Central processing Unit (CPU) and Graphical processing Unit. The framework used is Compute Unified Device Architecture, which consists of platform and programming model. The algorithm consists of several steps: read dicom and data normalization, lung segmentation, candidate nodule extraction, and classification. Normalization is required to facilitate calculation by changing the data type ui16 to ui8. Furthermore, segmentation is used to separate the lung parts with other organs, where at this stage the Otsu Algorithm and Moore Neighborhood Tracing (MNT) are used. The next step is Lung Nodule Extraction, which aims to find the nodule candidate. The last step is a classification that utilizes the Support Vector Machine (SVM) to distinguish which one is nodule or not. The algorithm successfully detects near round nodules that are free-standing or not attached to other parts of organs. After undergoing ground truth tests, it was found that under some conditions, the algorithm has not been able to distinguish nodules and other strokes that resemble nodules. While in terms of computing speed is found a very surprising result because overall single CPU computing provides better results compared to hybrid CPU and GPU computing.

关键词： Lung Graphics processing units Support vector machines Computed tomography Central processing Unit Kernel Classification algorithms

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Object Recognition by Machine Vision System of Inspection Line

Object Recognition by Machine Vision System of Inspection Li...

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Int Joint Conf on Int conference on Soft Comp Models in Ind and Environm Applicat / Int Conf on Computat Intelligence in Secur Informat Syst / Int Conf on European Transnat Educ

作者： Petrtyl, Ondrej Brandstetter, Pavel VSB Tech Univ Ostrava Dept Elect Fac Elect Engn & Comp Sci 17 Listopadu 15 Ostrava 70833 Czech Republic

ISBN: (纸本)9783319473642;9783319473635

The paper deals with a machine vision for a recognition and identification of manufactured parts. The inspection line has been constructed. Stepper motors, direct current motors and electromagnetic coils have been used as actuators. Printed circuit boards have been designed and made for a power supplying and signal level conversion. A feedback is acquired by two-position switches. For the practical realization, various construction components have been used, for example buffers for objects prepared for the inspection and inspected objects, manipulation arms and manipulation platform. The main control unit is a compact programmable logical controller, which controls hardware parts during the inspection cycle. The image capturing has been done with a common web camera. algorithms for the image processing has been programmed in MATLAB Simulink. Data between the control system and the image processing system are exchanged via a mutual communication protocol.

关键词： image processing Machine vision MATLAB Programmable logical devices Electric motor

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