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IEEE signal processing and Communications Applications (SIU)

作者： Mahmut Dirik Adnan Fatih Kocamaz Emrah Dönmez Inonu Universitesi Malatya Malatya TR

In this study, a new control model for differential drive mobile robots was developed by using image-based decision tree method(DTM). Developed mobile robot control model was designed in an obstacle-free environment. The wheel encoder sensor was designed as a controller capable of independent positioning by using real-time images from overhead cameras on the bird's eye view. In this new method, a virtual triangular area between the target and the robot was created. These triangular base angles were calculated on the image. Decision tree controller was determined as the difference between the base angles by branching. Decision Tree leaves control determines the left and right wheel speeds depending on the difference model design was carried out. The developed new controller model was tested on Khepera IV robot. In practice, the robot's speed and angle of the body was carried uncensored control and it was observed to find the target in different applications. Application of the results and performance of the system was shown.

关键词： Mobile robots Decision trees Cameras Robot vision systems Pulse width modulation

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image-based clustering analysis of massive vehicle networking data

Image-based clustering analysis of massive vehicle networkin...

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International conference on Wireless Communications and signal processing (WCSP)

作者： Zhonghui Chen Zhipeng Xie Xinxin Feng College of Physics and Information Engineering Fuzhou University Fuzhou China

ISBN: (纸本)9781509028610

In order to make full use of the massive vehicle networking data and dig out the characteristics of the vehicle driving behaviors, the analysis of the massive vehicle networking data is indispensable. And clustering analysis is an effective way to extract the information which can guide and supervise the vehicles. In this paper, we propose a novel initial clustering center selection algorithm based on the image recognition. In addition, in order to shorter the time of the clustering algorithm, we improve the ε-Link based on the massive vehicle networking data. We refer to image-based clustering algorithm applied on matching map of the vehicle networking data and ultimately obtain the traffic hot spot map of the urban roads by the clustering analysis. We evaluate our algorithm by doing thorough simulation on the massive data of vehicles in Fuzhou city. The result shows that when compared to the traditional clustering algorithms with great randomness in selection, the image-based clustering algorithm consumes less time in the case of massive vehicle networking data. And through the analysis of the trajectory data, the traffic hot spot map can be formed and practically reflects the practical traffic flow of Fuzhou city.

关键词： Vehicles Roads Clustering algorithms Algorithm design and analysis Urban areas Trajectory Approximation algorithms

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A divide-and-conquer dictionary learning algorithm and its performance analysis

A divide-and-conquer dictionary learning algorithm and its p...

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International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Subhadip Mukherjee Chandra Sekhar Seelamantula Department of Electrical Engineering Indian Institute of Science Bangalore India

ISBN: (纸本)9781479999897

We address the problem of learning a sparsifying synthesis dictionary over large datasets that occur in numerous signal and image processing applications, such as inpainting, super-resolution, etc. We develop a dictionary learning algorithm that exploits the similarity of the training examples to reduce the training time. Training datasets containing correlated examples typically occur in image processing applications, as the datasets contain the patches extracted from natural images as training vectors. Our algorithm employs a divide- and-conquer approach, where one leverages the correlation within the training examples to segment the dataset into clusters containing similar examples, and learn local dictionaries for each of them. This constitutes the divide step of the algorithm. In the conquer step, a global dictionary is trained using the atoms of the local dictionaries as the training examples. We analyze the run-time complexity and the representation error of the proposed divide-and-conquer dictionary learning algorithm, and compare the performance with the batch and online dictionary learning algorithms, both on synthesized dataset and natural images. The analysis reveals that the proposed algorithm has an asymptotic complexity that is linear and logarithmic in the number of training examples, corresponding to sequential and parallel implementations, respectively.

关键词： Dictionaries Training Complexity theory Clustering algorithms Algorithm design and analysis Correlation Encoding

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image reconstruction from discrete orthogonal Racah moments

Image reconstruction from discrete orthogonal Racah moments

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Canadian conference on Electrical and Computer Engineering (CCECE)

作者： Yexiao Wu Simon Liao Applied Computer Science The University of Winnipeg Winnipeg Manitoba

ISBN: (纸本)9781467387224

In this research, a matrix notation method to extract discrete orthogonal Racah moments is proposed to reduce the computation time. To verify this new computational method, the image reconstructions from higher orders of Racah moments are performed. Our experimental results show that the Racah moments computing time has been reduced tremendously, while the testing image can be reconstructed completely by Racah moments of orders up to 510 without any error.

关键词： image reconstruction Testing Algorithm design and analysis signal processing algorithms Pattern recognition Real-time systems

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FISHEYE VIDEO CODING USING ELASTIC MOTION COMPENSATED REFERENCE FRAMES

FISHEYE VIDEO CODING USING ELASTIC MOTION COMPENSATED REFERE...

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IEEE International conference on image processing

作者： Ashek Ahmmed Miska M. Hannuksela Moncef Gabbouj Department of Signal Processing Tampere University of Technology Tampere Finland Nokia Technologies Tampere Finland

ISBN: (纸本)9781467399623

Fisheye cameras have become extremely popular in applications where the goal is to capture large fields of view with only one camera. However, the wide-angle fisheye imagery has special characteristics that may not be very well suited for modern video codecs that employ block-based translational motion model. This model fails to describe complex deformable motion which is often present in fisheye videos. In this paper, we advocate for the usage of elastic motion model in compensating such a complex motion. The presented design enables the re-use of existing codecs, such as HEVC, without modifications in low-level coding tools. Experimental results show that a savings in bit rate of up to 6.54% is achievable over standalone HEVC if the elastic motion compensated prediction is used as an additional reference frame.

关键词： Solid modeling Cameras Bit rate Video sequences Video coding Encoding Deformable models

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Self-Awareness for Autonomous Systems

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PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

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image Enhancement under Low Luminance with Strong Light Weakening

Image Enhancement under Low Luminance with Strong Light Weak...

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International conference on Wireless Communications and signal processing

作者： Beibei Feng Yibin Tang Lin Zhou Ying Chen Jinxiu Zhu College of IOT Engineering Hohai University School of Information Science and Technology Southeast University

ISBN: (纸本)9781509028610

In low luminance images (night scene), it suffers from various problems, e.g., low overall brightness, poor contrast and serious lack of information. However, in some scenario, strong light also appears in these images. In this case, the regions of high and low luminance both exist, which introduces a more complicated situation for image enhancement. In this paper, we present an enhancement method via dark channel prior to adaptively improve the contrast of given images, especially those containing strong light. To fully use of image dehazing, haze images are firstly obtained from original low luminance images, where the transmittance template is sequentially estimated by the dark channel prior. Later, we design a modified mapping transmittance function to optimize such template, where the factor of strong light is well taken into account. Moreover, to compensate the detail loss in strong light areas, an optimal model is further built to improve the aforementioned template. With a set of dehazing manipulations, enhanced images are finally achieved. Experimental results show that the proposed algorithm not only improves the brightness and contrast of traditional low luminance images, but also can deal with images with strong light, where the regions of strong light are efficiently suppressed.

关键词： Dark channel Haze image Strong light Transmittance template

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design and Implementation of image processing Algorithms for Cardiac Blockage Detection on FPGA

Design and Implementation of Image Processing Algorithms for...

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IEEE Annual India conference

作者： Shrinivas B Mudigoudar Abdul Imran Rasheed Electronic and Communication Engineering Department M. S. Ramaiah University of Applied Sciences Bengaluru India

ISBN: (纸本)9781509036479

Nowadays, major health issues are concerned with heart problems say, heart attack. The main cause for heart attack is plaque. The Cardiac Plaque is waxy substance buildup inside the coronary arteries. Plaque results blockages inside the coronary arteries. The cardiac angiogram or cardiac catheterization is an approach used for the diagnosis of coronary blockages. It is an expensive and invasive approach to detect cardiac blockages. So, the angiogram is a conventional approach to diagnose cardiac blockages. In this paper, cardiac blockages are detected by means of Canny edge detector and Watershed image processing algorithms implemented on FPGA (Hardware implementation). The proposed design consumes power of 118 mW and maximum operating frequency is 338.295 MHz and minimum period is 2.956 ns.

关键词： Angiogram CABG (Coronary Artery Bypass Surgery) Catheterization Plaque PSNR (Peak signal to Noise Ratio)

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Asic design of low power VLSI architecture for different multiplier algorithms using compressors

Asic design of low power VLSI architecture for different mul...

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International conference on Industrial and Information Systems, ICIIS

作者： R. Abhilash Sanjay Dubey M. C. Chinnaaiah Department of ECE BVRIT Telangana India

In most of the digital systems, adders and multipliers are the fundamental components in the design of many applications domains such as a digital signal processing especially for multimedia application such as graphics 3D depends on extensive number of multiplication, scientific and numerical applications. This paper proposes a novel Compressors for low power VLSI architecture of different multiplier Algorithms and their ASIC design. Purely combinational logic is used in the design of these multipliers. The partial product bits are obtained by ANDing of both multiplier and multiplicand bit. Then the partial Products are summed using compressor technique. In this paper the proposed novel 4-2 and 5-2 compressors architecture achieve low energy consumption, when used for different multipliers. All the proposed architectures are designed using Verilog HDL and are simulated using Xilinx tool for functionality verification. The physical verification is also done using the 180nm tsmc technology library, operating in slow (balanced-tree) conditions generated by Encounter (R) compiler. In particular, the results were compared with conventional multiplier algorithms and found that the proposed compressors when used in multiplier algorithms are more efficient in terms of power.

关键词： Compressors Logic gates Adders Algorithm design and analysis signal processing algorithms Multiplexing Power demand

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FPGA-based image analyzer for calibration of stereo vision rigs

FPGA-based image analyzer for calibration of stereo vision r...

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IEEE NPSS conference on Real Time

作者： Aleksander Mielczarek Dariusz Makowski Piotr Perek Andrzej Napieralski Przemysław Sztoch Lodz University of Technology Department of Microelectronics and Computer Science Lodz Poland FINN Ltd. Lodz Poland

The paper presents a versatile solution facilitating calibration of stereoscopic camera rigs for 3D cinematography. Manual calibration of the rig can easily take several hours. The proposed device eases this process by providing the operator with several predefined layouts of the images from the cameras. The image Analyzer is a compact stand-alone device, designed for the portable 19" racks. Almost all of the video processing is performed on a modern Xilinx FPGA. It is supported by ARM computer to provide control and video streaming over the Ethernet. The article presents its hardware design, as well as FPGA firmware and software architectures.

关键词： Indexes

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