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10th International Conference on Intelligent systems - Theories and Applications (SITA)

作者： Oulhiq, Ridouane Ibntahir, Saad Sebgui, Marouane Guennoun, Zouhair Mohammed V Univ LEC Lab Rabat Morocco Mohammed V Univ EMI Rabat Morocco

ISBN: (纸本)9781509002207

Fingerprinting is one of the most used biometrics for people identification, it relays on image processing and classification algorithms. In this work we propose and test a framework that enables fingerprint detection using a set of image pre-processing algorithm. Concerning the features extraction, we propose the use of the number of bifurcations in image localities, and we propose the use of Artificial Neural Network (ANN) for the classification. The performance of our framework is evaluated for three different activation functions and show that we can reach an accuracy of 81%.

关键词： fingerprint recognition neural networks minutiae extraction image pre-processing logistic sigmoid

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Optimization of image processing techniques to detect and reconstruct the image of concealed blade for MMW imaging system

Optimization of image processing techniques to detect and re...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Bambam Kumar Prabhat Sharma Rohit Upadhyay Dharmendra Singh K P Singh Department of Electronics & Communication Engineering Indian Institute of Technology Roorkee Roorkee India Instrument Research and Development Establishment Raipur Dehradun Uttarakhand Department of Electronics Engineering Indian Institute of Technology (BHU) Varanasi India

ISBN: (纸本)9781509033331

The concealed weapon, like blade, detection and identification is one of the most puzzling task faces by security agency. Researchers have demonstrated MMW imaging systems to detect concealed targets like gun, knife and scissors but detection of small size target like blade with different orientation is still challenging due to resolution limitation of MMW imaging system. The success of small size concealed target detection depends upon scanning step size of imaging system and dielectric property of covering cloths and hidden object. Therefore, resolution enhancement techniques may play a very important role for small size concealed target detection. To perceive such challenges, active v-band MMW radar conjunction with image processing techniques has been demonstrated for detection and identification of concealed blade and obtained two dimensional good quality of images of concealed blade under different cloths at various angle. For this purpose, a critical analysis of various signal and image processing has been carried out and integrated following algorithms like singular value decomposition (SvD) for clutter reduction, discrete wavelet transform (DWT) for resolution enhancement, thresholding for target detection and in last artificial neural network (ANN) based algorithm for rotation invariant target identification. An image processing based methodology has been proposed by which the concealed target like blade can be successfully detected.

关键词： Blades Discrete wavelet transforms image resolution Imaging Radar imaging Artificial neural networks

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Marine vessel Detection Comparing GPRS and Satellite images for Security Applications

Marine Vessel Detection Comparing GPRS and Satellite Images ...

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International Conference on Wireless Communications, Signal processing and Networking

作者： Sajan Amabdiyil v. P. Mahadevan Pillai Dintu Thomas Optical Image processing & Security products Centre for Development of Imaging Technology Thiruvanthapuram-695027 Kerala India Communication Engineering Department SCMS School of Engineering and Technology Ernakulum Kerala India Department of Optoelectronics University of Kerala Kariavattom Thiruvanthapuram-69558 India

ISBN: (纸本)9781467393393

Unauthorized and unregistered sea going fishing vessels are being used for criminal activities in the coastal areas. The issue of piracy against merchant ships using illegal fishing vessels poses a significant threat to world shipping. Unfortunately counter piracy efforts and maritime security of our own and other nation enforcement often affects the innocent fishermen who conduct the trans-border fishing. Hence a proper vessel monitoring system is required to protect the maritime security without tampering the routine fishing activity of the sea going fishermen. This paper discusses about the feasibility of a system for the detection of registered marine fishing vessels comparing the satellite images and GPRS signal information. A review on various algorithms for identifying marine boats from satellite images is also conducted in this paper.

关键词： vessel Monitoring systems Satellite images GPRS Trans-border fishing

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Surveillance System Mobile Object Using Segmentation algorithms

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IEEE LATIN AMERICA TRANSACTIONS 2015年第7期13卷 2441-2446页

作者： Osorio, R. Lopez, I. Savage, J. Pena, M. Lomas, v. Lefranc, G. Univ Nacl Autonoma Mexico IIMAS UNAM Mexico City 04510 DF Mexico Univ Nacl Autonoma Mexico Fac Ingn Lab Biorobot Mexico City 04510 DF Mexico Inst Politecn Nacl Ctr Invest & Estudios Avanzados CINVESTAV Unidad Saltillo Saltillo Coahuila Mexico Pontificia Univ Catolica Valparaiso Escuela Ingn Elect Valparaiso Chile

In this paper a segmentation algorithm is used to detect moving objects and to integrate it to a supervision and surveillance systems, in a parking lot, as a first step. One of the way to moving detection in image sequences is the moving object segmentation by background model, very well-known technique that it permit to know what objects are moving. This can be employed, in the second stage, to identify and to follow objects

关键词： Multivariate patterns image processing SvM Fuzzy ARTMAP

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A wavelet based method for image reconstruction from gradient data with applications

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MULTIDIMENSIONAL systems AND SIGNAL processing 2015年第3期26卷 717-737页

作者： Sevcenco, Ioana S. Hampton, Peter J. Agathoklis, Panajotis Univ Victoria Dept Elect & Comp Engn Victoria BC V8P 5C2 Canada

In this paper, an algorithm for image reconstruction from gradient data based on the Haar wavelet decomposition is proposed. The proposed algorithm has two main stages. First, the Haar decomposition of the image to be reconstructed is obtained from the given gradient data set. Then, the Haar wavelet synthesis is employed to produce the image. The proposed algorithm is based on the relationship between the Haar analysis and synthesis filters and the model for the discretized gradient. The approach presented here is based on the one by Hampton et al. (IEEE J Sel Top Signal Process 2(5):781-792, 2008) for wavefront reconstruction in adaptive optics. The main strength of the proposed algorithm lies in its multiresolution nature, which allows efficient processing in the wavelet domain with complexity . In addition, obtaining the wavelet decomposition of the image to be reconstructed provides the possibility for further enhancements of the image, such as denoising or smoothing via iterative Poisson solvers at each resolution during Haar synthesis. To evaluate the performance of the proposed algorithm, it is applied to reconstruct ten standard test images. Experiments demonstrate that the algorithm yields results comparable in terms of solution accuracy to those produced by well-known benchmark algorithms. Further, experiments show that the proposed algorithm is suitable to be employed as a final step to reconstruct an image from a gradient data set, in applications such as image stitching or image morphing.

关键词： image reconstruction Gradient Haar decomposition Poisson solver

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OpenCL programmable exposed datapath high performance low-power image signal processor

OpenCL programmable exposed datapath high performance low-po...

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Norchip

作者： Joonas Multanen Heikki Kultala Matias Koskela Timo viitanen Pekka Jääskelainen Jarmo Takala Aram Danielyan Cristóvão Cruz Tampere University of Technology Finland Noiseless Imaging Ltd Finland

Sophisticated computational imaging algorithms require both high performance and good energy-efficiency when executed on mobile devices. Recent trend has been to exploit the abundant data-level parallelism found in general purpose programmable GPUs. However, for low-power mobile use cases, generic GPUs consume excessive amounts of power. This paper proposes a programmable computational imaging processor with 16-bit half-precision SIMD floating point vector processing capabilities combined with power efficiency of an exposed datapath. In comparison to traditional vLIW architectures with similar computational resources, the exposed datapath reduces the register file traffic and complexity. These and the specific optimizations enabled by the explicit programming model enable extremely good power-performance. When synthesized on a 28nm ASIC technology, the accelerator consumes 71mW of power while running a state-of-the-art denoising algorithm, and occupies only 0.2mm 2 of chip area. For the algorithm, energy usage per frame is 7mJ, which is 10x less than the best found GPU-based implementation.

关键词： Radio frequency Registers vLIW Computer architecture Signal processing algorithms Hardware Ports (Computers)

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A Modular Approach for Cloth Modelling in virtual Fitting Room

A Modular Approach for Cloth Modelling in Virtual Fitting Ro...

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IEEE International Conference on Industrial and Information systems

作者： Yashwanth Kanduri Sanugula Durga Prasad Computer Science & Engineering National Institute of Technology Warangal Telangana India

The application is an augmented virtual reality application where the user is recognized at close range and can virtually try clothes. The unique point about this application is the fact that there'll be image processing and computer vision used to determine size of shirt and waist and so on of a person using the Kinect v2 perceptual computing kit rather than just allowing the user to try on virtual clothes. These clothes can be showcased online among the friends or can be directly used for printing and manufacturing the shirt using CO_2 laser from a robotic arm which is out of scope of this paper. The modelling of cloth which is supposed to be augmented on the virtual human body is being designed with competent geometric algorithms rather than just relying on Gaming or Motion Control Frameworks. The results are tested on latest Kinect v2 sensor which provides user a compelling experience to opt for. The paper initially overviews the major technical components for complete virtual try-on system, followed by elucidating several key challenges such as calibration of Kinect and estimation of measurements for individual subjects like outfits, etc. Eventually we discuss key details of the implementation using Kinect v2. Quality of these steps is the key to achieve seamless try-on experience for users.

关键词： Skin image color analysis Elbow Thumb Streaming media Biological system modeling Biological system modeling image colour analysis Streaming video game player Thumb fitting room Elbow modular approach Textile fabrics skin Dress shirts Clothing virtual Consumers

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Unsupervised Feature Selection Algorithm Based on Sparse Representation

Unsupervised Feature Selection Algorithm Based on Sparse Rep...

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International Conference on systems and Informatics

作者： Guoqing Cui Jie Yang Masoumeh Zareapoor Jiechen Wang Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Complex Network and Control Lab Shanghai Jiao Tong University

ISBN: (纸本)9781509055227

Feature selection, as a preprocessing step to machine learning, plays a pivotal role in removing irrelevant data, reducing dimensionality and improving performance evaluations. Recent years, sparse representation has become a useful tool for both supervised and unsupervised feature selection. So far, most of these algorithms still have many problems such as large computation load, performance with poor stability. Thus, this paper proposes a new unsupervised feature selection algorithm via sparse representation (UFSSR), with respect to efficiency and effectiveness. Firstly, this paper reconstructs part of data matrix via sparse representation, which makes the proposed algorithm be robust and independent of domain knowledge. Then, to reduce the reconstruction error, a new feature evaluation function is given to rank all features. Theoretical analysis and experiments compared with many popular algorithms on a set of datasets demonstrate the improvements brought by UFSSR.

关键词： Unsupervised feature selection Sparse representation Feature evaluation function Computation load Stability

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Hyperspectral image Compression algorithms-A Review

Hyperspectral Image Compression Algorithms-A Review

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International Conference on Artificial Intelligence and Evolutionary algorithms in Engineering systems (ICAEES)

作者： Babu, K. Subhash Ramachandran, v. Thyagharajan, K. K. Santhosh, Geeta Jawaharlal Nehru Technol Univ Kakinada CSE Dept Kakinada Andhra Pradesh India RMD Engn Coll Kavaraipettai Tamil Nadu India NIT Dimapur 797103 Nagaland India SSN Coll Engn Kalavakkam MCA Dept Madras 603110 Tamil Nadu India

ISBN: (纸本)9788132221357;9788132221340

Satellite-based remote sensing applications require collection of high volumes of image data of which hyperspectral images are a particular type. Hyperspectral images are collected by high-resolution instruments over a very large number of wavelengths on board a satellite/airborne vehicle and then sent onwards to a ground station for further processing. Compression of hyperspectral images is undertaken to reduce the on-board memory requirement, communication channel capacity, and the download time. Compression algorithms can be either lossless or lossy. The purpose of this paper is to review a number of compression techniques employed for onsite processing of hyperspectral image data, to reduce the transmission overhead. A review of the theory of hyperspectral images and the compression techniques employed therein with emphasis on recent research developments is presented. Recent research on video compression techniques for hyperspectral imaging (HSI) is also discussed.

关键词： Hyperspectral imaging Compression Lossless Lossy

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Output Control algorithms of Dynamic Positioning and Disturbance Rejection for Robotic vessel

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IFAC-PapersOnLine 2015年第11 11期48卷 295-300页

作者： Wang, Jian Pyrkin, Anton A. Bobtsov, Alexey A. Borisov, Oleg I. Gromov, vladislav S. Kolyubin, Sergey A. vlasov, Sergey M. Institute of Automation Hangzhou Dianzi University Xiasha Higher Education Zone HangzhouZhejiang Province310018 China Department of Control Systems and Informatics ITMO University Kronverkskiy av. 49 Saint Petersburg197101 Russia Laboratory "Control of Complex Systems" Institute for Problems of Mechanical Engineering Bolshoy pr. V.O. 61 Saint Petersburg199178 Russia Department of Engineering Cybernetics Norwegian University of Science and Technology TrondheimNO-7491 Norway

In this paper two control problems for a surface robotic vessel are addressed. One is design of a dynamic positioning (DP) system. The other deals with advanced dynamic positioning (ADP) which is extended by an unknown disturbance rejection. Considered plant is represented as a MIMO system which comprised of three independent SISO channels. For the DP problem all SISO channels are controlled by virtual control inputs generated using a robust approach, so called, "consecutive compensator". Then after an inverse MIMO transformation real control signals are calculated for robotic actuators. For the APD problem we design the cancellation scheme for channels with input delays that may be caused by a command transmission via the radio channel or computational complexity of the image processing. To finalize the investigation proposed DP algorithm is applied to the robotic complex of vessel motion modeling. © 2015

关键词： Dynamic positioning Disturbance rejection image processing Inverse problems MIMO systems Nonlinear systems Radio transmission Robotics Robust control Control problems Control signal Output control Robotic actuators Robotic complexes Robust approaches vessel motions virtual control

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