检索结果-内蒙古大学图书馆

36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Kumar, Bambam Sharma, Prabhat Upadhyay, Rohit Singh, Dharmendra Singh, K. P. Indian Inst Technol Roorkee Dept Elect & Commun Engn Roorkee Uttar Pradesh India Instrument Res & Dev Estab Dehra Dun Uttarakhand India Indian Inst Technol BHU Dept Elect Engn Varanasi Uttar Pradesh India

ISBN: (纸本)9781509033324

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： MMW imaging DWT SVD ANN

来源：评论

学校读者我要写书评

暂无评论

Video Frame Extraction for 3D Reconstruction 8

Video Frame Extraction for 3D Reconstruction

引用

8th Computer Science and Electronic Engineering (CEEC)

作者： Clift, Louis G. Clark, Adrian F. Univ Essex Sch Comp Sci & Elect Engn Colchester Essex England

ISBN: (纸本)9781509020508

This paper addresses the problem of using live and pre-recorded video sources in 3D reconstruction systems. Typical photogrammetry packages use images generated from digital photography cameras such as DSLRs. 3D reconstruction algorithms require the intrinsic information to be stored in the EXIF header of a digital photograph. Live video systems don't store this information and more importantly don't produce a concise sequence of distinct frames. This paper presents an approach to using both live and pre-recorded video sources with 3D Structure from Motion systems through the implementation of a pre-processor. This approach filters the video feed with the aid of the Laplacian operator and feature-based methods to create an optimal sequence for both on-line and off-line 3D reconstruction systems.

关键词： image processing video filtering 3D reconstruction

来源：评论

学校读者我要写书评

暂无评论

Student Research Highlights: MACHe - Model-Based Algorithm for Classification of Helicopters

引用

IEEE AEROSPACE AND ELECTRONIC systems MAGAZINE 2016年第8期31卷 38-40页

作者： Gaglione, Domenico Univ Strathclyde Ctr Signal & Image Proc CeSIP Glasgow Lanark Scotland Univ Strathclyde Elect & Elect Engn 99 George St Glasgow G1 1RD Lanark Scotland

Secondary motions of a target, such as rotating blades of a helicopter's main rotor, induce a Doppler modulation around the main Doppler shift. This represents a unique feature of the target itself, known as micro-Doppler signature, and can be used for classification purposes. In this student research highlight a model-based automatic helicopter classification algorithm is presented. It is a parametric classification approach based on a sparse signal recovery method and it is independent of both the initial position of the blades and the aspect angle. The algorithm is tested on simulated and real data.

关键词： Helicopters Blades Classification algorithms Doppler radar Rotors Doppler effect

来源：评论

学校读者我要写书评

暂无评论

Experimental Analysis of Visual Inverted Pendulum Servoing System 16th

引用

Joint Conference of the 16th Asia Simulation Conference / SCS International Autumn Simulation Multi-Conference (AsiaSim/SCS AutumnSim)

作者： Du, Dajun Zhan, Bin Li, Wangpei Fei, Minrui Yang, TaiCheng Shanghai Univ Sch Mechatron Engn & Automat Shanghai Key Lab Power Stn Automat Technol Shanghai 200072 Peoples R China Univ Sussex Dept Engn & Design Brighton BN1 9QT E Sussex England

ISBN: (纸本)9789811026690;9789811026683

This paper is concerned with experimental analysis of visual inverted pendulum servoing system. Firstly, visual inverted pendulum servoing system is introduced, and three typical image processing algorithms are described. These three algorithms are then employed to process the image of inverted pendulum captured by camera. Comparative experiments are operated, and the detection precision and real time performance are analyzed. This lays a solid foundation for future control research of visual inverted pendulum servoing system.

关键词： Machine vision image processing Inverted pendulum Computational time Computational error

来源：评论

学校读者我要写书评

暂无评论

Parallel Randomized KD-tree Forest on GPU Cluster for image Descriptor Matching

Parallel Randomized KD-tree Forest on GPU Cluster for Image ...

引用

IEEE International Symposium on Circuits and systems (ISCAS)

作者： Hu, Linjia Nooshabadi, Saeid Ahmadi, Majid Michigan Tech Dept Comp Sci Houghton MI 49931 USA Univ Windsor Dept Elect & Comp Engn Windsor ON Canada

ISBN: (纸本)9781479953417

Many high dimensional data mining applications involve the nearest neighbor search (NNS) on a KD-tree. Randomized KD-tree forest enables fast medium and large scale NNS among high dimensional data points. In this paper, we present massively parallel algorithms for the construction of KD-tree forest, and NNS on a cluster equipped with massively parallel architecture (MPA) devices of graphical processing unit (GPU). This design can accelerate the KD-tree forest construction and NNS significantly for the signature of histograms of orientations (SHOT) 3D local descriptors by factors of up to 5.27 and 20.44, respectively. Our implementations will potentially benefit realtime high dimensional descriptors matching.

关键词： Nearest neighbor search

来源：评论

学校读者我要写书评

暂无评论

GPU-accelleration of image rendering and sorting algorithms with the OpenCLframework

GPU-accelleration of image rendering and sorting algorithms ...

引用

作者： Anders, SöderholmJustus, Sörman Linköping University

Today's computer systems often contains several different processing units aside from the CPU. Among these the GPU is a very common processing unit with an immense compute power that is available in almost all computer systems. How do we make use of this processing power that lies within our machines? One answer is the OpenCL framework that is designed for just this, to open up the possibilities of using all the different types of processing units in a computer system. This thesis will discuss the advantages and disadvantages of using the integrated GPU available in a basic workstation computer for computation of image processing and sorting algorithms. These tasks are computationally intensive and the authors will analyze if an integrated GPU is up to the task of accelerating the processing of these algorithms. The OpenCL framework makes it possible to run one implementation on different processing units, to provide perspective we will benchmark our implementations on both the GPU and the CPU and compare the results. A heterogeneous approach that combines the two above mentioned processing units will also be tested and discussed. The OpenCL framework is analyzed from a development perspective and what advantages and disadvantages it brings to the development process will be presented.

关键词：

来源：评论

学校读者我要写书评

暂无评论

NASA Technical Reports Server (Ntrs) 20130011239: Vectorized Rebinning Algorithm for Fast Data Down-Sampling

引用

2016年

NASA Technical Reports Server (Ntrs) 20130011239: Vectorized Rebinning Algorithm for Fast Data Down-Sampling by NASA Technical Reports Server (Ntrs); NASA Technical Reports Server (Ntrs); published by

关键词： (ntrs) 20130011239: algorithm algorithms aronstein, david data compression data sampling dean, bruce down-sampling image processing nasa technical reports server (ntrs) rebinning sampled data systems sampling signal processing smith, jeffrey

来源：评论

学校读者我要写书评

暂无评论

Inversion of GPR data: 2D forms reconstruction for cavities based on born approximation, TSVD regularization and image processing algorithms

Inversion of GPR data: 2D forms reconstruction for cavities ...

引用

International Conference on Information Technology for Organizations Development, IT4OD 2016

作者： Harkat, Houda Bennani, Saad Dosse Mansouri, Anas Slimani, Abdellatif Laboratory Renewable Energy and Intelligent Systems Faculty of Science and Technology Fez Morocco National School of Applied Sciences Fez Laboratory Renewable Energy and Intelligent Systems Faculty of Science and Technology Fez Morocco

ISBN: (纸本)9781467376891

This paper represents a literature review of research works concerning the reconstruction of forms of buried objects in an homogeneous soil, applied for the reconstruction of forms of underground cavities. First, we will set modeling as integral function, of the nonlinear inverse problem to solve. In general, this problem is solved through a regularization technique, the TSVD technical (Trunced Singular Value Decomposition), which is more efficient than the method of Thikhonov, because of its simplicity and minimal cost calculation. Regularization techniques are employed because the experimental data are still affected by noise. Secondly, we will discuss the influence of the choice of certain parameters, the quality of the reconstructed tomographic images. Third, we will take advantage from the image processing module of the Opencv Library to estimate the shape of the buried cavities, based on the treatment of the resulting images, using Douglas-Peucker algorithm. The case studied here is the one of a dispersive low conductivity half-space, where is embedded the anomaly which is a cavity filled with a dielectric. © 2016 IEEE.

关键词： Singular value decomposition

来源：评论

学校读者我要写书评

暂无评论

Virtual 3D city model as a priori information source for vehicle localization system

引用

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES 2016年 63卷 1-22页

作者： Dawood, Maya Cappelle, Cindy El Najjar, Maan E. Khalil, Mohamad El Hassan, Bachar Pomorski, Denis Peng, Jing Univ Lille 1 LAGIS CNRS UMR 8164 Lille France Lebanese Univ Doctoral Sch Sci & Technol AZM Ctr Res Biotechnol Tripoli Lebanon Univ Technol Belfort Montbeliard Lab Syst & Transports Belfort France

This paper aims at demonstrating the usefulness of integrating virtual 3D models in vehicle localization systems. Usually, vehicle localization algorithms are based on multi-sensor data fusion. Global Navigation Satellite systems GNSS, as Global Positioning System GPS, are used to provide measurements of the geographic location. Nevertheless, GNSS solutions suffer from signal attenuation and masking, multipath phenomena and lack of visibility, especially in urban areas. That leads to degradation or even a total loss of the positioning information and then unsatisfactory performances. Dead-reckoning and inertial sensors are then often added to back up GPS in case of inaccurate or unavailable measurements or if high frequency location estimation is required. However, the dead-reckoning localization may drift in the long term due to error accumulation. To back up GPS and compensate the drift of the dead reckoning sensors based localization, two approaches integrating a virtual 3D model are proposed in registered with respect to the scene perceived by an on-board sensor. From the real/virtual scenes matching, the transformation (rotation and translation) between the real sensor and the virtual sensor (whose position and orientation are known) can be computed. These two approaches lead to determine the pose of the real sensor embedded on the vehicle. In the first approach, the considered perception sensor is a camera and in the second approach, it is a laser scanner. The first approach is based on image matching between the virtual image extracted from the 3D city model and the real image acquired by the camera. The two major parts are: 1. Detection and matching of feature points in real and virtual images (three features points are compared: Harris corner detector, SIFT and SURF). 2. Pose computation using POSIT algorithm. The second approach is based on the on board horizontal laser scanner that provides a set of distances between it and the environment. This set of di

关键词： Localization Data fusion image processing Intelligent vehicle GPS 3D-GIS

来源：评论

学校读者我要写书评

暂无评论

A software system for automated identification and retrieval of moth images based on wing attributes

引用

PATTERN RECOGNITION 2016年 51卷 225-241页

作者： Feng, Linan Bhanu, Sir Heraty, John Univ Calif Riverside Bourns Coll Engn Ctr Res Intelligent Syst Riverside CA 92521 USA Univ Calif Riverside Dept Entomol Riverside CA 92521 USA

Manually collecting, identifying, archiving and retrieving specimen images is an expensive and time-consuming work for entomologists. There is a clear need to introduce fast systems integrated with modern image processing and analysis algorithms to accelerate the process. In this paper, we describe the development of an automated moth species identification and retrieval system (SPIR) using computer vision and pattern recognition techniques. The core of the system is a probabilistic model that infers Semantically Related Visual (SRV) attributes from low-level visual features of moth images in the training set, where moth wings are segmented into information-rich patches from which the local features are extracted, and the SRV attributes are provided by human experts as ground-truth. For the large amount of unlabeled test images in the database or added into the database later on, an automated identification process is evoked to translate the detected salient regions of low-level visual features on the moth wings into meaningful semantic SRV attributes. We further propose a novel network analysis based approach to explore and utilize the co-occurrence patterns of SRV attributes as contextual cues to improve individual attribute detection accuracy. Working with a small set of labeled training images, the approach constructs a network with nodes representing the SRV attributes and weighted edges denoting the co-occurrence correlation. A fast modularity maximization algorithm is proposed to detect the co-occurrence patterns as communities in the network. A random walk process working on the discovered co-occurrence patterns is applied to refine the individual attribute detection results. The effectiveness of the proposed approach is evaluated in automated moth identification and attribute-based image retrieval. In addition, a novel image descriptor called SRV attribute signature is introduced to record the visual and semantic properties of an image and is used to compar

关键词： Entomological image identification and retrieval Semantically related visual attributes Attribute co-occurrence pattern detection

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：