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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VI"

共 15616 条记录，以下是4441-4450 订阅

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A Semi-Autonomous Tracked Robot Detection of Gun and Human Movement Using Haar Cascade Classifier for Military Application

A Semi-Autonomous Tracked Robot Detection of Gun and Human M...

引用

International conference on Nascent Technologies in the Engineering Field (ICNTE)

作者： Mohammad Zahirul Islam Ali Ahsan Ratul Acharjee BRAC University Dhaka Bangladesh

The evolutionary process of modern robotics helps the military forces to revamp their aged systems with today's advanced technology. For defending any kind of criminal activities like hostage situation created by any extremist or a militant group the uses of all terrain military assistance robot has increased from past time. In this paper we have approached a stair climbing robot with some creative features which can assist a military group to complete a mission or achieve any milestone. We have focused on reliable designs and unique stair climbing mechanisms with the detection of stairs through image processing. Moreover detecting the human movement and different kind of guns using the image processing algorithms helps us to upgrade our system into a semi-autonomous robot. Using radio frequency communication protocol, wide range of working space is achieved which helps the user to control the robot from a safe distance from the crime zone. Experimental analysis of the system justify the reliability as well as the efficiency of the design and the algorithms for practical scenario.

关键词： Stairs Cameras Robot vision systems Meters image processing Training

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Efficient implementation of integrall image algorithm on NviDIA CUDA 13

Efficient implementation of integrall image algorithm on NVI...

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13th International conference on Advanced systems and Electric Technologies, IC_ASET 2018

作者： Afif, Mouna Said, Yahia Atri, Mohamed Faculty of Sciences of Monastir University of Monastir 5000 Tunisia

ISBN: (纸本)9781538644492

GPU computing makes it possible to perform more efficient implementation results by trying to optimize tasks that require massively parallel computing due to its particular capabilities. This is the main reason for the increase in the number of implemented GPU algorithms. Compared to the CPU, GPU computing has proved its efficiency in accelerating the processing of algorithms. This paper presents an implementation of the integral image algorithm on GPU by using the programming language CUDA. Integral image is important and crucial step in many image-processing algorithms. We also show a comparison between the performance of our algorithm on CPU and GPU on as well as the accelerations obtained. We also compare our algorithm with other GPU implementations using the programming language CUDA. The achieved results show clearly the efficiency of our algorithm. We achieve high speedup results comparing to other CPU and the GPU implementations. © 2018 IEEE.

关键词： Graphics processing unit

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A Comparative Study of Different Methods using Electrical Capacitance Tomography for Water-Dominated Multiphase Vertical Flows

A Comparative Study of Different Methods using Electrical Ca...

引用

IEEE International conference on Signal processing, Information, Communication & systems (SPICSCON)

作者： Md. Sazzad Hossain Md. Towsif Abir Md. Asiful Islam Bangladesh University of Engineering and Technology Dhaka

ISBN: (数字)9781728142944

ISBN: (纸本)9781728142951

In this paper, different algorithms used in conventional electrical capacitance tomography, such as, Landweber method, Tikhonov regularization method and Linear Back Projection method have been explored in regard to water-dominated vertical flows. Imaging of multiphase flows holding water as continuous phase (i.e. water-dominated flows) is a very challenging task because of the high permittivity of water. However, as opposed to existing literature, it is shown that it is still possible to image water-dominated flows with conventional electrical capacitance tomography. A comparison among the effectiveness of different methods for successful image reconstruction of different types of vertical flows has been presented as well. This work shows a potential direction towards imaging water-dominated multiphase flow using electrical capacitance tomography.

关键词： image reconstruction Permittivity Electrical capacitance tomography Capacitance measurement Jacobian matrices Iterative algorithms

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SLAM Problem for Autonomous Underwater Vehicle using SVSF Filter 25

SLAM Problem for Autonomous Underwater Vehicle using SVSF Fi...

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25th International conference on systems, Signals and image processing (IWSSIP)

作者： Demim, Fethi Nemra, Abdelkrim Abdelkadri, Hassen Louadj, Kahina Hamerlain, Mustapha Bazoula, Abdelouahab EMP BP 17 Algiers Algeria Univ Bouira Lab Informat Math & Phys LIMPAF Bouira Algeria CDTA Div Robot Algiers Algeria

ISBN: (纸本)9781538669792

This paper addresses the problem of simultaneous localization and mapping (SLAM) for Autonomous Underwater Vehicle (AUV) equipped with a Mechanically Scanned Imaging Sonar (MSIS) as principal sensor operating in structured environments such as marine platforms, harbors, or dams. Our contribution has introduced a method based on the Smooth Variable Structure Filter (SVSF) to solve this problem. The SVSF is known to be very robust to modeling errors and uncertainties. This filter merges the information from various sensors (Doppler Velocity Logs (DVL), the MTi motion reference unit (MRU)) and the observations from the feature extraction based line in order to estimate the vehicle's motion and to construct a map in partially structured environments. The SVSF-SLAM algorithm is implemented with a datasets obtained in an abandoned marine experiment. The proposed algorithm is validated and provides an accurate estimation which gives a good robustness compared to the EKF/N H infinity-SLAM algorithms.

关键词： Autonomous underwater vehicle localization problem map building acoustic image processing

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Inspection on Infrared-Based image processing 21

Inspection on Infrared-Based Image Processing

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21st International Multi Topic conference, INMIC 2018

作者： Ur Rehman, Sadiq Mohsin Zakai, Fatima Adeel, Muhammad Hamdard Institute of Engineering and Technology Faculty of Engineering Science and Technology Hamdard University Karachi Pakistan

ISBN: (纸本)9781538675366

Infrared radiations have a large wavelength of 0.7 μn to 1mm compared to the visible light wavelength. All objects above 5 degrees temperature emit IR radiations. It is not possible to see the IR wave directly from the human eye without any aided sensing device. Infrared images contain insufficient contract and having a high rate of background noise which makes it difficult to view the captured image clearly. There are several factors (e.g. background nature and clutter characteristics etc.) based on which the performance of the imaging system gets affected. The most important parameters for the quality of the infrared image are the radiation pattern and the temperature difference between background and object. In this paper, inspection has been performed on Infrared (IR) image processing. A detailed study can be seen on IR detectors, a difference in visible images and IR images and on methods for non-uniform correction in IR signal processing. Theirs exist a variety of algorithms for the infrared image processing, some of which that are discussed in this paper are wavelet transformation, median filter, frame averaging, and spatiotemporal filtering. There are many other IR image processing algorithms which are used according to the specific requirement, to enhance the efficiency of IR image processing system, there is an extreme requirement of adaptive algorithms so that an optimum result can be achieved for IR image processing. Similarly there exists multiple IR imaging systems which are still used in different scenarios of IR image processing. © 2018 IEEE.

关键词： Imaging systems

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8th International conference on Biomimetic and Biohybrid systems, Living Machines 2019

8th International Conference on Biomimetic and Biohybrid Sys...

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8th International conference on Biomimetic and Biohybrid systems, Living Machines 2019

ISBN: (纸本)9783030247409

The proceedings contain 42 papers. The special focus in this conference is on Biomimetic and Biohybrid systems. The topics include: Rose-Inspired Micro-device with Variable Stiffness for Remotely Controlled Release of Objects in Robotics;robotic Simulator of Vocal Fold Paralysis;drosophibot: A Fruit Fly Inspired Bio-Robot;crab-Like Hexapod Feet for Amphibious Walking in Sand and Waves;highly-Integrated Muscle-Spindles for Pneumatic Artificial Muscles Made from Conductive Fabrics;insect Behavior as High-Sensitive Olfactory Sensor for Robotic Odor Tracking;foveated image processing for Faster Object Detection and Recognition in Embedded systems Using Deep Convolutional Neural Networks;design, Optimization and Characterization of Bio-Hybrid Actuators Based on 3D-Bioprinted Skeletal Muscle Tissue;chemotaxis Based virtual Fence for Swarm Robots in Unbounded Environments;determination of Artificial Muscle Placement for Biomimetic Humanoid Robot Legs;design of a Canine Inspired Quadruped Robot as a Platform for Synthetic Neural Network Control;heads or Tails? Cranio-Caudal Mass Distribution for Robust Locomotion with Biorobotic Appendages Composed of 3D-Printed Soft Materials;tuning a Robot Servomotor to Exhibit Muscle-Like Dynamics;manufacturing Artificial Wings Based on the Manduca sexta Hawkmoth;robots that Imagine – Can Hippocampal Replay Be Utilized for Robotic Mnemonics?;a Robust and Efficient Cooler Design Inspired by Leaf Venation;bayesian Optimization of a Quadruped Robot During 3-Dimensional Locomotion;latent Morality in algorithms and Machines;a Window into the Robot ‘mind’: Using a Graphical Real-Time Display to Provide Transparency of Function in a Brain-Based Robot;robust Postural Stabilization with a Biomimetic Hierarchical Control Architecture;speedy Whegs Climbs Obstacles Slowly and Runs at 44Â km/hour.

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Radial Scanning Scheme for Massively Parallel video Coding 10

Radial Scanning Scheme for Massively Parallel Video Coding

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International conference on Signals and Electronic systems (ICSES)

作者： Luczak, Adam Karwowski, Damian Domanski, Marek Poznan Univ Tech Fac Elect & Telecommun Poznan Poland

ISBN: (纸本)9781538667682

This article presents a scheme of image blocks scanning, called radial scanning, that enables massive parallelization of video compression and decompression. The proposed scheme enables parallel processing of image blocks when still using the context-based coding paradigm. Compared to other competitive schemes of image blocks scanning, the proposed scheme allows higher degree of computations parallelization in a video codec. Due to using the context-based coding the proposed scheme does not negatively affect the compression performance of a video encoder.

关键词： video compression radial scanning parallel processing of data AVC HEVC

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Space Telescope image reconstruction based on Combined Convex Relaxation and Non Convex Minimization algorithms

Space Telescope Image reconstruction based on Combined Conve...

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IEEE conference on Recent Advances in Intelligent Computational systems (RAICS)

作者： Althaf, A. P. Byjubai, T. P. Govt Engn Coll Dept Appl Elect & Instrumentat Kozhikode Kerala India

ISBN: (纸本)9781538673362

One of the main challenges in space communication is the difficulty in the transmission and processing of large amount of data from satellite to earth. Also, space telescope image reconstruction with sampling rate less than Nyquist rate is preferred in space mission. Compressive sensing (CS) is a sampling theory that allows to capture and represent compressible signals at a rate significantly below Nyquist rate, by exploring the sparsity structure of the signal. Hence a novel image reconstruction technique based on CS to address the problems of space telescope image reconstruction is proposed in this paper. The common reconstruction algorithms for CS which comes under the class of Convex Relaxation, Non-Convex Minimization algorithms, Greedy Iterative Algorithm, and Iterative Thresholding algorithms are used for space telescope image reconstruction.A combination algorithm of convex relaxation and Non-Convex Minimization algorithms is proposed to enhance the quality of the reconstructed *** analysis of the proposed method is performed and it is found that the proposed method gives better result than the classical reconstruction algorithms of CS.

关键词： Compressive Sensing Convex Relaxation Non-Convex Minimization Iterative Thresholding

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Towards GPU Accelerated HyperSpectral Depth Estimation in Medical Applications

Towards GPU Accelerated HyperSpectral Depth Estimation in Me...

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conference on Design of Circuits and Integrated Circuits (DCIS)

作者： Jaime Sancho Gemma Urbanos Luisa Ruiz Marta villanueva Gonzalo Rosa Alberto Diaz Manuel villa Miguel Chavarrías Alfonso Lagares Rubén Salvador Eduardo Juárez César Sanz Research Center on Software Technologies and Multimedia Systems Universidad Politécnica de Madrid (UPM) Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12) Madrid España CentraleSupélec

ISBN: (数字)9781728191324

ISBN: (纸本)9781728191331

HyperSpectral (HS) images are commonly used for classification tasks in different domains, such as medicine. In this field, a recent use is the differentiation between healthy tissues and different types of cancerous tissues. To this end, different machine learning techniques have been proposed to generate classification maps that indicate the type of tissue corresponding to each pixel in the image. These 2D representations can be used stand-alone, but they can not be properly registered with other valuable data sources like Magnetic Resonance Imaging (MRI), which can improve the accuracy of the system. For this reason, this paper builds the foundations of a multi-modal classification system that will incorporate 3D information into HS images. Specifically, we address the acceleration of one of the hotspots in depth estimation tools/algorithms. MPEG-I Depth Estimation Reference Software (DERS) provides high-quality depth maps relying on a global energy optimizer algorithm: Graph Cuts. However, this algorithm needs huge processing times, preventing its use during surgical operations. This work introduces GoRG (Graph cuts Reference depth estimation in GPU), a GPU accelerated DERS able to produce depth maps from RGB and HS images. In this paper, due to the lack of HS multi-view datasets at the moment, results are reported on RGB images to validate the acceleration strategy. GoRG shows a ×25 average speed-up compared to baseline DERS 8.0, reducing total computation time from around one hour for 8 frames to only a few minutes. A consequence of our parallelization is an average decrease of 1.6 dB in Weighted-to-Spherically-Uniform Peak-Signal-to-Noise-Ratio (WS-PSNR), with some remarkable disparities approaching 4 dB. However, using Structural Similarity Index (SSIM) as metric results come closer to baseline DERS. Effectively, an average decrease of only 1.20% is achieved showing that the obtained speed-up gains compensate the subjective quality losses.

关键词： Cameras Estimation Graphics processing units Acceleration Magnetic resonance imaging Three-dimensional displays Smoothing methods

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FRONT SEAT CHILD OCCUPANCY DETECTION USING ROAD SURVEILLANCE CAMERA imageS 25

FRONT SEAT CHILD OCCUPANCY DETECTION USING ROAD SURVEILLANCE...

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25th IEEE International conference on image processing (ICIP)

作者： Balci, Burak Alkan, Bensu Elihos, Alperen Artan, Yusuf HAVELSAN Inc Ankara Turkey

ISBN: (纸本)9781479970612

Camera based traffic enforcement solutions has been ubiquitously employed in many roadways around the world. Toll violation detection, red light violation detection, speed violation detection are typically the most common usages of camera systems towards traffic enforcement. However, there are other enforcement areas that need attention such as front seat child occupancy violation, which is a major safety concern in many countries. In this study, we propose a novel automated technique towards child occupancy detection in front seat of vehicles using deep learning algorithms. Using a camera system placed on an overhead gantry, installed on a high way in Turkey, real world images are captured during day and night time. We performed experiments using 1000 real world images and achieved an overall accuracy of 92 %.

关键词： Traffic Enforcement Convolutional Neural Network Face Detection image Classification

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