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International conference on Computer Vision and image processing, CVIP 2016

作者： Mohanty, Aparna Ahmed, Alfaz Goswami, Trishita Das, Arpita Vaishnavi, Pratik Sahay, Rajiv Ranjan Department of Electrical Engineering Indian Institute of Technology Kharagpur Kharagpur India Department of Computer Science and Technology Indian Institute of Engineering Science and Technology Shibpur Kolkata India Sardar Vallabhai National Institute of Technology Surat Surat India

ISBN: (纸本)9789811021060

Current pose estimation methods make unrealistic assumptions regarding the body postures. Here, we seek to propose a general scheme which does not make assumptions regarding the relative position of body parts. Practitioners of Indian classical dances such as Bharatnatyam often enact several dramatic postures called Karanas. However, several challenges such as long flowing dresses of dancers, occlusions, change of camera viewpoint, poor lighting etc. affect the performance of state of- the-art pose estimation algorithms [1, 2] adversely. Body postures enacted by practitioners performing Yoga also violate the assumptions used in current techniques for estimating pose. In this work, we adopt an image recognition approach to tackle this problem. We propose a dataset consisting of 864 images of 12 Karanas captured under controlled laboratory conditions and 1260 real-world images of 14 Karanas obtained from Youtube videos for Bharatnatyam. We also created a new dataset consisting of 400 real-world images of 8 Yoga postures. We use two deep learning methodologies, namely, convolutional neural network (CNN) and stacked auto encoder (SAE) and demonstrate that both these techniques achieve high recognition rates on the proposed datasets. © Springer Science+Business Media Singapore 2017.

关键词： image recognition

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A double-integrator system for distributed optimization of convex cost functions 29

A double-integrator system for distributed optimization of c...

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第29届中国控制与决策会议

作者： Ngoc-Tu Tran Xuan Feng Wen-Yuan Xu Na Zhan Xi Wang School of Automation Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control(Huazhong University of Science and Technology) Ministry of Education Hubei Electric Power Company

ISBN: (纸本)9781509046584

In this paper,the distributed optimization problem is investigated under a second-order multi-agent *** the proposed algorithm,each agent solves the optimization via local computation and information exchange with its neighbors through the communication ***,in comparison with the existing second-order distributed optimization algorithms,the proposed algorithm is much simpler due to one coupled information exchange among the agents is *** achieve the optimization,the distributed algorithm is proposed based on the consensus method and the gradient *** optimal solution of the problem is thus obtained with the design of Lyapunov function and the help of LaSallel's Invariance Principle.A numerical simulation example and comparison of proposed algorithm with existing works are presented to illustrate the effectiveness of the theoretical result.

关键词： Second-order multi-agent systems Distributed optimization Consensus Lyapunov function Gradient algorithm

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Heuristic-modified region filling algorithms for A-B connection searching problem

Heuristic-modified region filling algorithms for A-B connect...

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International conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS)

作者： Vladan Vučković Boban Arizanović Faculty of Electronic Engineering University of Nis Nis Serbia

ISBN: (纸本)9781538618011

This paper presents optimized connection searching method based on region filling algorithms. The proposed method is optimized using the heuristic and is intended for maze-solving. In specific cases, the proposed algorithm performs better than variants which do not use heuristic and it depends on the maze structure and position of the starting and ending pixel.

关键词： Floods Heuristic algorithms Algorithm design and analysis Standards Time complexity Filling image processing

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Comparative study of AES, RSA, genetic, affine transform with XOR operation, and watermarking for image encryption

Comparative study of AES, RSA, genetic, affine transform wit...

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International conference on Recent Innovations in Signal processing and Embedded systems (RISE)

作者： Avinash Ray Anjali Potnis Prashant Dwivedy Shahbaz Soofi Uday Bhade Department of Electrical & Electronics Engineering National Institute of Technical Teachers' Training & Research Bhopal Madhya Pradesh INDIA

ISBN: (纸本)9781509047611;9781509047604

In present scenario whole world is moving towards digital communication for fast and better communication. But in this a problem arises with security i.e. when we have to transmit information (either data or image) over internet or to store information at any random location then its security is very important. To protect our information from hackers we use a technique i.e. Encryption. In this paper we use image as information and use different types of encryption techniques to encrypt it and protect it from hackers. After that we find various parameters from each image encryption technique and then compare each technique's parameters from one another. After that we search for the best result and then proceed forward with that technique for future scope.

关键词： Encryption Watermarking Genetic algorithms Ciphers Public key PSNR

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Video Quality Assessment Metrics for Infrared Video Frames using Different Edge Detection algorithms

Video Quality Assessment Metrics for Infrared Video Frames u...

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International conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC)

作者： K. Sai Prasad Reddy K. Nagabhushan Raju Department of Electronics Sri Krishnadevaraya University Anantapuramu India Department of Instrumentation Sri Krishnadevaraya University Anantapuramu India

ISBN: (纸本)9781538632444

Infrared signal processing algorithms and architectures are important for the development of a high performance infrared imaging systems. Infrared signal processing deals with two types of processing sensor signal processing and infrared image processing for contrast enhancement and target detection. The sensor signal processing primarily deals with non uniformity correction for infrared sensors. Assessing the quality of the Infrared video frame is a complex and firm process since human's opinion is affected by physical and psychological parameters. Infrared Video frame quality assessment plays an important role in the field of video processing. Structural Similarity Index has become a standard among image quality metrics. It is a framework for quality assessment based on the degradation of structural information of video frame. In this paper SSIM values are computed and compared for Infrared video frames by applying different edge detection approaches by using different color models to assess the quality of the frames. Experimental results comparisons demonstrate the effectiveness of the proposed method.

关键词： image edge detection image color analysis Laplace equations Detectors Indexes Computational modeling Mathematical model

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Automatic license plate recognition in difficult conditions — Technical report

Automatic license plate recognition in difficult conditions ...

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

作者： Petr Hurtik Marek Vajgl University of Ostrava Institute for Research and Applications of Fuzzy Modeling Ostrava Czech Republic

ISBN: (纸本)9781509049189

By a car license plate recognition, we mean a software system processing images and providing an alphanumeric transcription of car plates included in an image. We divide the task into four sub-tasks: license plate localization, license plate extraction, characters segmentation and characters recognition. All four sub-tasks are discussed in the context of standard approaches and own solution based on a chain of standard and soft computing image processing algorithms is presented. In this chain, the F-transform approximate pattern matching algorithm plays the crucial role. For the solution, we presented recognition ability for a dataset which includes 500 images with difficult conditions.

关键词： Automobiles Licenses Character recognition Cameras image segmentation image edge detection Transforms

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A pen locating scheme for large-size electronic whiteboards

A pen locating scheme for large-size electronic whiteboards

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IEEE International Workshop on Imaging systems and Techniques (IST)

作者： Wenjie Zhou Xiaohui Duan Center for Wireless Communication and signal processing Peking University Beijing China Peking University Beijing Beijing CN

One of the key technologies of the large-size electronic whiteboard is pen locating, but most existing technologies have their weaknesses. In this paper, a pen locating algorithm and its prototype are proposed. Using Spatial-based watermark embedding method, the pen-locating algorithm generates watermarked blocks by embedding watermark information into the background image on the screen. The pen detects the watermarked blocks on the screen and when the watermarked blocks are detected, the pen can be located through the analysis of the image block location and the distance between the pen and the image block. The algorithm is tested by simulation and the locating error of the prototype system is 1.7 pixels approximately.

关键词： Watermarking Correlation Gaussian noise Signal processing algorithms Prototypes Gold image resolution

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The study of effectiveness of a high-performance crystal lattice parametric identification algorithm based on CUDA technology

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Journal of Physics: conference Series 2019年第5期1368卷

作者： A S Shirokanev D V Kirsh A V Kupriyanov Samara National Research University Moskovskoe Shosse 34A Samara Russia 443086 Image Processing Systems Institute of RAS - Branch of the FSRC 'Crystallography and Photonics' RAS Molodogvardejskaya street 151 Samara Russia 443001

The study of substances with a crystal structure is a complex multi-step process. The key step in the crystalline substance analysis is the unit cell parameter estimation. The estimation of the crystal lattice unit cell parameters is a particular problem that involves the search of the crystal lattice model's parameters according to the information which can be extracted from the substance. In these recent times, the most accurate information about the substance structure can be obtained with the electron microscope whose linear resolution is high enough to observe the atomic structure of a substance. The problem of parameter estimation in this case means the reconstruction of the three-dimensional crystal lattice with 2-dimentional images received by an electron microscope, and the estimation of the crystal lattice unit cell parameters by reconstructed lattice. In the previous papers the crystal lattice parametric identification algorithms based on solving the local optimization problem were presented. However, the analysis of a large crystal lattice database requires a lot of computations. In this paper, a high-performance crystal lattices parametric identification algorithm using the CUDA technology is proposed. The investigation of the algorithm effectiveness is carried out on the GPU GeForce NVidia GTX 1070 Ti. With data dimension more than 32 translations the acceleration is higher than 70. The algorithm runs more efficiently at the use of a large number of CUDA-blocks.

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Design and implementation of blowfish algorithm using reconfigurable platform

Design and implementation of blowfish algorithm using reconf...

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International conference on Recent Innovations in Signal processing and Embedded systems (RISE)

作者： Shraphalya B. Nalawade Dhanashri H. Gawali Department of Electronics and Telecommunication Engineering Savitribai Phule Pune University Pune

ISBN: (纸本)9781509047611;9781509047604

Security is an important issue during communication and data transmission. There are many ways to provide security. One method to ensure security is the use of cryptographic algorithms such as DES, AES, RC5, Blowfish etc. Cryptography is a method used for encoding the data which may be hacked by the unauthorized person. In this paper FPGA based design and implementation of Blowfish algorithm has been proposed. For RTL coding VHDL has been used and Virtex-5XC5VLX50T FPGA device used as a reconfigurable platform for implementation of Blowfish algorithm. The aim of this system is to evaluate performance of Blowfish algorithm on reconfigurable platform in terms of power consumption and throughput. For testing purpose image data and ECG data has been used as plaintext.

关键词： Encryption Field programmable gate arrays Throughput Power demand Signal processing algorithms

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Possibility theory in image processing

Possibility theory in image processing

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IEEE International conference on Computational Intelligence and Virtual Environments for Measurement systems and Applications

作者： Olivier Strauss Laboratoire d'Informatique de Robotique et de Micro-électronique de Montpellier (LIRMM) Université Montpellier Montpellier France

ISBN: (纸本)9781509042548

Summary form only given. Digital image processing refers to the set of algorithms used to transform, filter, enhance, modify, analyze, distort, fuse, etc., digital images. Most of these algorithms are designed to mimic an underlying physical operation defined in the continuous illumination domain and formerly achieved via optical or electronic filters or through manipulations, including painting, cutting, moving or pasting of image patches. It also allows more sophisticated transformations (associated to more or less complex algorithms) which would be impossible to process by analog means. It may be quite hard to completely transpose an operation from the continuous to the discrete domain. Such a transposition usually relies on methods that ensure a kind of interplay between continuous and discrete domains. The interplay between the continuous and the discrete domain usually involves a convolution with a point spread function, when the measurement model is supposed to be linear, while the interplay between the discrete and the continuous domain is ensured by interpolation or more generally approximation methods, which also involve a convolution with a reconstruction kernel. Performing a precise identification of the point spread function of an imager is usually pretty challenging. Moreover, modeling the imaging process by a point spread function could be considered as an approximation of a more complex (and not shift-invariant) phenomenon (e.g. radial distortion or chromatic aberrations).

关键词： Filtering theory Kernel Algorithm design and analysis Optical filters image resolution Possibility theory

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