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image-Based Indoor Localization Using Smartphone Cameras In Textureless Environment

Image-Based Indoor Localization Using Smartphone Cameras In ...

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International conference on Information and Computer Technologies (ICICT)

作者： Ping Zheng Danyang Qin Jianan Bai Lin Ma Department of Electronics and Communication Engineering Heilongjiang University Harbin China Heilongjiang University Harbin China National Mobile Communications Research Laboratory Southeast University Nanjing China Department of Information and Communication Engineering Heilongjiang University Harbin China Department of Electronics and Information Engineering Harbin Institute of Technology Harbin China

In recent years, Location Based Services (LBS) have developed rapidly. There is an urgent need to establish a low-cost and convenient method to get precise positions indoors. Therefore, we choose an easier way of using monocular camera mounted on a mobile terminal to achieve indoor visual positioning. In this paper, two main problems are studied under this condition. Firstly, the feature extraction method is designed to minimize the loss of positioning information while processing quickly in textureless environment. Secondly, the relative direction vector obtained from the epipolar geometry cannot converge at the point to be located due to errors, so a position determination method is proposed to transform the problem of positioning into distance calculation. A WeChat mini program was built for users to obtain location information. Experimental results show that 90% positioning error was less than 0. 5m, and the average error was less than 0.32m.

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A Novel Ant Colony Based Cross-layer QoS Routing Algorithm for Wireless Mesh Networks

A Novel Ant Colony Based Cross-layer QoS Routing Algorithm f...

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2008 11th IEEE International conference on Communication Technology(ICCT2008)

作者： Zhang Hui,Dong Yu-ning,Yang Long-xiang,and Zhu Hong-bo Jiangsu Provincial Key Lab of Wireless communications,College of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China Jiangsu Provincial Key Lab of image processing & image Communication,College of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China

According to the heterogeneous characteristics of wireless mesh networks and the QoS requirements of multimedia applications,we design a novel QoS adaptive architecture for WMNs that is cross-domain,cross-layer and ***,this architecture is mathematically described by using a bi-level programming *** model uses the optimization results of subnets as the optimization parameters or optimization constraints of backbone networks,and combines the features of different network *** on this bi-level programming model,we propose an ant colony optimization based routing *** results show that the bi-level programming model,which fully optimizes various QoS parameters of paths,can effectively adapt to the heterogeneous characteristics of WMNs so as to obtain the optimal path;the proposed routing algorithm,which has both advantages of low complexity and fast convergence speed,can converge to the theoretical optimal solution of bi-level programming model.

关键词： Wireless mesh networks multimedia application QoS Architecture routing algorithm

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Bionic Eyeglass: an Audio Guide for visually Impaired

Bionic Eyeglass: an Audio Guide for Visually Impaired

引用

2006 IEEE Biomedical Circuits and Systems conference (BioCAS 2008)

作者： Kristof Karacs Anna Lazar Robert Wagner David Balya Tamas Roska Mihaly Szuhaj Faculty of Information Technology Pazmany Peter Catholic University Hungary Impaired People Hungarian National Association of Blind and Visually Budapest Hungary

A bionic eyeglass is proposed in this paper, a device that helps blind and visually impaired people in basic tasks of their everyday life by converting visual information into speech. The indoor and outdoor situations and tasks have been selected by a technical committee consisting of blind and visually impaired persons, considering their most important needs and potential practical benefits that an audio guide can provide. Two types of cellular wave computing algorithms are used: general spatial-temporal event detection by analogic subroutines, and recently developed multi-channel mammalian retinal model followed by a classifier. The basic idea is to mimic the way the nervous system discriminates relevant information from the irrelevant - namely realize an attention model. Typical indoor and outdoor event detection processes are considered and explained through examples. We present advances in adaptive color processing and number recognition.

关键词： image color analysis Feature extraction Classification algorithms Pattern recognition visualization Retina Neuromorphics

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Light-weight Super-Resolution Network based on Classified Measurement-domain Features 23

Light-weight Super-Resolution Network based on Classified Me...

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Proceedings of the 2023 6th International conference on Artificial Intelligence and Pattern Recognition

作者： Shuo Li Yinghua Li Dan Xu Ying Zhang Jinglu He School of Communications and Information Engineering Xi'an University of Posts and Telecommunications China Sichuan Jiuzhou Electric Group Co. Ltd. China

ISBN: (纸本)9798400707674

In contemporary research, natural images are frequently reconstructed using methods that are computationally intensive but highly effective. To solve this issue, we propose a light-weight super-resolution(SR) network based on classified measurement-domain features, abbreviated as SRCMF. images of nature can be divided into multiple smaller images for processing purposes. On the basis of this line of reasoning, it is possible to conclude that various image regions present unique recovery challenges and can be processed by models with differing degrees of complexity. Textured regions make supersegmentation more difficult than flat regions. To take advantage of this property, we can manage the various subgraphs of the split using an appropriate SR model, i.e. a simple small model for smooth regions and a complex large model for textured regions. With this as our starting point, we propose the SRCMF, a classification and supersegmentation integrating framework. Specifically, it employs Class Modules to categorize subgraphs based on their recovery difficulty, followed by numerous SRModules to super-score the subgraphs in each category. The computational cost can be drastically reduced because the preponderance of sub-images will travel through fewer networks. ClassSR is founded on a compression-aware image block processing method on the measurement domain, while SRModule is comprised of SR models of varying proportions. When reconstructing natural images, experimental data indicate that our SRCMF can save FLOPs and reduce the computational complexity of reconstruction. This general structure is applicable to additional simple visual duties.

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Multiresolution Point Cloud Compression for Real-Time visualization and Streaming of Large 3D Datasets

Multiresolution Point Cloud Compression for Real-Time Visual...

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Asilomar conference on Signals, Systems & Computers

作者： Dat Thanh Nguyen Daniel Zieger Markus Gambietz Anne D. Koelewijn Marc Stamminger André Kaup Chair of Multimedia Communications and Signal Processing Erlangen Germany Chair of Visual Computing Erlangen Germany Chair of Autonomous Systems and Mechatronics Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen Germany

ISBN: (数字)9798350354058

ISBN: (纸本)9798350354065

In recent years, the integration of point cloud data has been observed across diverse domains such as immersive media, autonomous driving, and healthcare. However, processing and visualizing 3D point cloud data requires more computational power and processing time than typical 2D images or videos. In this paper, we present a multiresolution point cloud visualization approach that enables the encoding and reconstruction of human body point clouds at multiple quality/bitrate levels for streaming or real-time visualization applications. Specifically, we partition the 3D model into cells and build an octree structure to store the point cloud at multiple levels of detail. The hierarchical structure is encoded efficiently for fast loading times. We optimize the resolution selection for each visible node based on the camera viewpoint and the geometric error perceived by the user. We validate the proposed method using a widely known point cloud dataset from the Moving Picture Experts Group. The experiments demonstrate that the method can dynamically adapt the resolution of point clouds and provide faster rendering times compared to well-known point cloud visualization software.

关键词： Point cloud compression Three-dimensional displays image resolution Data visualization Rendering (computer graphics) Cameras Real-time systems Signal resolution Iterative decoding Videos

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An Object Detection System for Automatic Driving: MEC-YOLO Based on "Cloud-Edge-End"

An Object Detection System for Automatic Driving: MEC-YOLO B...

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Natural Language processing (ICNLP), International conference on

作者： Siyuan Liang Xu Zhang School of Communications and Information Engineering Xi’an University of Posts and Telecommunications Xi’an China

ISBN: (数字)9798350349115

ISBN: (纸本)9798350349122

The massive machine type of communication (mMTC) of 5G is the basis for IoT (Internet of Things) development, which can promote automobile industry upgrades: intelligent and green. Automatic driving (AD) is an important trend in intelligent vehicles. With the development of computer vision (CV) technology, pure vision sensor-based solutions are dominating the AD of intelligent vehicles. Due to CV hardware platform energy and cost consumption constraints, meeting the detection speed and accuracy of vehicle AD requirements have become an obvious challenge, especially for new energy vehicles. Combining the advantages of edge computing and IoT based on mMTC, this paper proposes a system called mobile edge computing-you only look once (MEC-YOLO) to solve this problem, which is an energy-efficient and low-cost instance-level vision perception system for AD. In this system, the local hardware platform uses the improved object detection (OD) network to extract features from the locally collected visual data, processes them into a feature extraction queue, uploads them to the edge network nodes to complete the OD task, and transmits the prediction results and trains weights back to the local devices. In addition, the cloud computing center resource can be invoked to supplement edge nodes when the edge computing capacity is insufficient. Furthermore, we develop an AD platform equipped with Jetson for system validation, which improved the detection speed by 93.2% and reduced the GPU resource occupation rate by 90.8% compared to YOLOv4 on the KITTI dataset. The test results verified that the MEC-YOLO proposed in this paper has the advantages of fast detection speed, high accuracy, and low resource occupation rate compared with the traditional OD scheme.

关键词： Cloud computing Accuracy Intelligent vehicles image edge detection Graphics processing units Object detection Feature extraction Hardware Internet of Things Edge computing

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An IR Lock-in Thermography Nondestructive Test System Based on the image Sequence processing

An IR Lock-in Thermography Nondestructive Test System Based ...

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17th World conference on Non-Destructive Testing

作者： Junyan LIU~1 Jingmin DAI~2 Yang WANG~1 Hui LIU~1 Zijun WANG~2 1.School of Mechatronics Engineering,Harbin Institute of Technology,Harbin,P.R.China 2.School of Electronic Engineering and Automation,Harbin Institute of technology,Harbin,P.R.China

Optically stimulated Lock-in thermography (OLT) which is an active thermography technique for NDT is based on propagation and reflection of thermal waves which are launched from the surface into the inspected component by absorption of modulated *** angle images obtained by superposition of the initial thermal wave and its internal reflection display hidden thermal structures down to a certain depth below *** are found by comparing the observed features with expected features provided by theory or by an intact reference *** technique has been widely applied to detect the defection of composite materials and structure in aerospace and automotive *** this study,the law of sine modulated lamp is used as active heat source into sample,and the thermal wave image sequences are collected with JADE MWIR 550 FPA infrared camera made in France Cedip *** special image sequence file formation is studied and *** digital filter algorithm and thermal wave signal single sequence Fourier transform algorithm are researched to obtain the phase angle image of thermal wave on the surface of *** program of IR Lock-in thermography is developed by visual C++ development *** experimental results show that the lock-in thermography software system can be used to detect the subsurface defects.

关键词： Thermal waves Non-destructive test Lock-in thermography Fourier transform

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Architecture and Design of a High Definition Television Production Switcher

Architecture and Design of a High Definition Television Prod...

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SMPTE Technical conference

作者： Edward Hobson T. Takamori Broadcast and Professional Group Sony Electronics Vince Harradine Broadcast and Professional R&D Department Sony Broadcast and Professional Europe Image and Sound Communications Company Sony Corporation Atsugi Japan

In late 1996, the Federal communications Commission ruled the United States would migrate to a digital television broadcasting system. The Commission chose the Grand Alliance transmission scheme and left the picture scanning format to the marketplace. High Definition video, at 1920 times 1080 pixels, interlaced scanning, at a nominal 60 Hertz field rate is one format in the infamous Table 3 of the ATSC document and FCC ruling. This picture format is also well on the way to becoming a universal format. — A new series of digital systems, conforming to the interlaced scanning format of SMPTE 274M- 1995 were recently introduced by Sony. This paper deals with the architecture, enabling technologies, and capabilities of a live and post production vision mixer from this family of equipment. — A modern, digital, high definition vision mixer, and associated digital effects and editing equipment, must provide producers, directors, and the artistic and technical staff employing them with similar capabilities as existing standard definition equipment—the visual effects expected by a sophisticated audience. These requirements are detailed in this paper and the vision mixer described is compared to similar standard definition devices. — The capabilities of the switcher resulted in an architecture for crosspoints, mix effects systems, key and video processing, control and external interfaces. Operational and maintenance aspects are also key factors in an architecture and include considerations for size, mass, power consumption and heat loads. Picture size and shape may change but control room and remote broadcast vehicle designs dictate limitations on these specifications. Trade-offs in capability and architecture are enumerated. — The data rates employed in HDTV (more than 5 times the rate of SMPTE 125M and SMPTE 259M) required additional new technologies, including the development of a series of Application Specific Integrated Circuits which perform the same functions employed i

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Adapting CBAM and IAL to Bayesian Loss-based Crowd Counting 23

Adapting CBAM and IAL to Bayesian Loss-based Crowd Counting

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Proceedings of the 2023 6th International conference on Artificial Intelligence and Pattern Recognition

作者： Huimin Du Yu Hao Xiaoyang Zhang Ying Liu Center for Image and Information Processing School of Communications and Information Engineering Xi'an University of Posts and Telecommunications China

ISBN: (纸本)9798400707674

Probability-originated crowding counting strategy has advantages of providing additional spatial information of pedestrians and smaller model scale. This paper proposes a novel Bayesian Loss-based crowd counting model which integrates the Convolutional Block Attention Module (CBAM)and Instance Attention Loss (IAL) to further address typical issues in crowd counting such as complicated background, occlusion, and uneven crowd distribution. After adapting the VGG-19 as the front-end network to efficiently extract visual features, the CBAM is implemented as the intermediate process to concentrate on the key features with the attention mechanism, before using the back-end network to output the predicted density map. To handle the deviation of manual labeled head positions in the dataset and improve the training efficiency, the IAL where only 90% of the annotation points with the smallest deviation from the prediction is adapted by the approach. Experiments results on two benchmarking datasets demonstrated the network's efficiency in enhancing headcount accuracy by significantly optimized the MAE(mean absolute error) and MSE(mean square error).

关键词： Bayesian loss CBAM IAL crowd counting density map

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Voice for the mute

Voice for the mute

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International conference on Technologies for Sustainable Development (ICTSD)

作者： Amiya Kumar Tripathy Dipti Jadhav Steffi A. Barreto Daphne Rasquinha Sonia S. Mathew School of Computing and Security Sciences Edith Cowan University Perth Australia Department of Computer Engineering Don Bosco Institute of Technology Mumbai India

ISBN: (纸本)9781479981885

Many ways of communications are used between human and computer, one of them includes using gesture which is considered to be one of the most natural ways in a virtual reality system. Because of its intuitiveness and its capability of helping the hearing impaired and speaking impaired. Hand gestures enable deaf people to communication during their daily lives rather than by speaking. A sign language is a language which, instead of using sound, uses visually transmitted gesture signs which simultaneously combine hand shapes, orientation and movement of the hands, arms, lip-patterns, body movements and facial expressions to express the speaker's thoughts. in order to bridge this gap of sign to speech, Voice fOr the Mute (VOM) aims to develop a system that will take real time images and convert them to speech with text as an intermediate taking into considerations all the limitations observed by a 2D system we will be considering only fingering spelling in our system i.e. Take input in the form of finger-spelling of alphabetic signs and providing the resultant voice output. The system will be using a webcam for the input and processing of the signs will be done using Microsoft visual Studio as an IDE and OpenCv modules. With this proposed system we aims to help the speech impaired community.

关键词： Speech Assistive technology Gesture recognition image edge detection Training Libraries Skin

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