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Security and Privacy of Smart Home Systems Based on the Internet of Things and stereo matching algorithms

IEEE INTERNET OF THINGS JOURNAL 2020年第4期7卷 2521-2530页

作者： Yang, Aimin Zhang, Chunying Chen, Yongjie Zhuansun, Yunxi Liu, Huixiang North China Univ Sci & Technol Coll Sci Tangshan 063210 Peoples R China North China Univ Sci & Technol Key Lab Engn Calculat Tangshan City Tangshan 063000 Peoples R China

With the rapid development of the Internet of Things (IoT), security and privacy of smart home systems based on IoT are more and more popular. As the key component of IoT, wireless communication and sensor technology are prerequisites for the security and confidentiality of smart home systems. The smart home systems integrate electronic information technology and computer control. By designing and installing various sensors in the home for collecting data, and then using the IoT platform for data transmission, the remote control of the home running state can be realized. The home security is guaranteed. This article designs IoT architecture of smart home, and then hardware and software are designed according to the system architecture. The hardware part is mainly analyzed from the image recognition module and the speech recognition module. In addition, a stereo matching algorithm for smart video surveillance is proposed to optimize the accuracy of the surveillance system. Finally, the simulation results prove that the designed smart home systems have a low cost and high accuracy. It not only optimizes the performance of smart home systems but also improves the safety factor.

关键词： Smart homes Internet of Things Monitoring Security Hardware Image recognition Zigbee Internet of Things (IoT) security and privacy smart home systems stereo matching algorithms

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Evaluation of stereo matching algorithms and Dynamic Programming for 3D Triangulation 1

Evaluation of Stereo Matching Algorithms and Dynamic Program...

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1st International Conference on Communication and Computer Engineering (ICOCOE)

作者： Huat, Teo Chee Manap, N. A. Univ Tekn Malaysia Melaka Dept Comp Engn Fac Elect & Comp Engn Melaka Malaysia

ISBN: (纸本)9783319076744;9783319076737

A good result of triangulation or known as Three-Dimensional (3D) is depending on the smoothness of the disparity depth map that obtained from the stereo matching algorithms. The smoother the disparity depth map, the better results of triangulation can be achieved. This paper presents the evaluation of the existing stereo matching algorithms in the aspects of the speed of computational on depth map obtained. The stereo matching algorithms that we applied for experimental purpose are basic block matching, sub-pixel accuracy and dynamic programming. The dataset of stereo images that used for the experimental purpose are obtained from Middlebury stereo Datasets. This research is to provide an idea on choosing the better stereo matching algorithms to work on the disparity depth map for the purpose of 3D triangulation applications, as the good result of 3D triangulation is depending on how smooth is the disparity depth map can be obtained.

关键词： Dynamic programming 3D triangulation stereo matching algorithms Depth map

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Exploring HLS Optimizations for Efficient stereo matching Hardware Implementation 13th

Exploring HLS Optimizations for Efficient Stereo Matching Ha...

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13th International Symposium on Applied Reconfigurable Computing (ARC)

作者： Ali, Karim M. A. Ben Atitallah, Rabie Fakhfakh, Nizar Dekeyser, Jean-Luc Univ Valenciennes LAMIH Valenciennes France NAVYA Co Paris France Univ Lille1 CRIStAL Lille France

ISBN: (纸本)9783319562582;9783319562575

Nowadays, FPGA technology offers a tremendous number of logic cells on a single chip. Digital design for such huge hardware resources under time-to-market constraint urged the evolution of High Level Synthesis (HLS) tools. In this work, we will explore several HLS optimization steps in order to improve the system performance. Different design choices are obtained from our exploration such that an efficient implementation is selected based on given system constraints (resource utilization, power consumption, execution time, ... ). Our exploration methodology is illustrated through a case study considering a Multi-Window Sum of Absolute Difference stereo matching algorithm. We implemented our design using Xilinx Zynq ZC706 FPGA evaluation board for gray images of size 640 x 480.

关键词： FPGA High level synthesis stereo matching algorithms

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stereo matching techniques for cloud-top height retrieval

Stereo matching techniques for cloud-top height retrieval

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Conference on Image and Signal Processing for Remote Sensing XII

作者： Anzalone, Anna Isgro, Francesco Tegolo, Domenico INAF Ist Agrofis & Fis Cosm Palermo Italy

ISBN: (纸本)0819464600

This paper presents an ongoing study for the estimation of the cloud-top height by using only geometrical methods. It is based on the hypothesis that an infra-red camera is on board a satellite and pairs of images concern nearly the same scene. stereo-vision techniques are therefore explored in order to test the methodology for height retrieval and in particular results of several techniques of stereo matching are evaluated. This study includes area-based matching algorithms by implementing the basic versions, without considering any further steps of optimisation to improve the results. Dense depth maps are the final outputs whose reliability is verified by computing error statistics with respect to a set of Digital Terrain Elevation Data, used as ground truth for a set of nearly cloud free images. A set of real pairs of images from the Along-Track Scanning Radiometer2 11 mu m data set, has been considered. The evaluated errors range between .75 and .80 km, that is not a particularly bad result if it is compared to the resolution of the ATSR2 pixel (1 km resolution).

关键词： cloud-top height multi view stereo matching algorithms satellite infra-red images

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Disparity Map Estimation Based on Optimization algorithms using Satellite stereo Imagery 4

Disparity Map Estimation Based on Optimization Algorithms us...

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IEEE 2015 International Conference on Signal and Image Processing Applications (ICSIPA)

作者： Qayyum, Abdul Malik, Aamir Saeed Saad, Muhammad Naufal Bin Muhammad Abdullah, Faris Iqbal, Mahboob Univ Teknol PETRONAS Tronoh Elect & Elect Engn Dept Perak Malaysia

ISBN: (纸本)9781479989966

The monitoring of trees and vegetation near high voltage transmission power lines is a tedious job for electrical companies. There are many blackouts occur due to interfering the trees with the power transmission lines in hilly as well as urban areas. This is a big challenge for power distribution companies to monitor the vegetation for avoiding the blackouts and flashovers. To solve these problems, there are many methods are used to monitor the trees and vegetation near transmission power poles. But the existing methods are expensive and time consuming. We proposed the new method based on satellite images to monitor the trees and vegetation. The satellite images provide the cost effective solution to solve the monitoring problem. In this paper, we proposed the stereo matching algorithms to measure the disparity map based on satellite stereo imagery. The height estimation of trees and vegetation near power poles based on depth map which is inversely proportional of the disparity map. For measuring the depth map, the dynamic programming (DP) and block matching with energy minimization has been proposed. These techniques are applied on the satellite stereo images and based on results, our proposed DP algorithm produced more accurate disparity map as compared to the block matching algorithm.

关键词： Pleiades satellite images IKONOS stereo matching algorithms Dynamic programming algorithm Block matching algorithm Energy minimization

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A method for verification of dense disparity maps computed from the matching algorithm implemented in the stereovision system - art. no. 69372Q

A method for verification of dense disparity maps computed f...

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Conference on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007

作者： Rzeszotarski, Dariusz Skulimowski, Piotr Strumillo, Pawel Tech Univ Lodz Inst Elect PL-90924 Lodz Poland

ISBN: (纸本)9780819471246

A stereo matching algorithm implemented in the stereovision system is presented. The algorithm provides dense depth or disparity maps necessary to perform 3D reconstruction of the observed scene. The term "dense" refers to the fact that the algorithm calculates depth value for each pixel of one of stereo images. Along with the implemented stereo matching algorithm, a method of its verification is proposed, by means of generating for each disparity map, a respective certainty map which holds information about likeliness that the respective disparity value was well chosen.

关键词： stereo matching algorithms disparity maps

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Advanced Image Processing Techniques for Enhancing Cargo Capacity Optimization in Intelligent Logistics Vehicles

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TRAITEMENT DU SIGNAL 2023年第6期40卷 2433-2442页

作者： Wang, Huizhen Xian Int Univ Business Sch Xian 710077 Peoples R China

The burgeoning global logistics industry has necessitated the development of intelligent logistics systems as a crucial means to augment efficiency and curtail costs. Paramount to bolstering logistics system performance is the optimization of cargo capacity in logistics vehicles, intrinsically linked to diminishing logistics expenses and augmenting transportation efficiency. Conventional approaches for gauging vehicle cargo capacity, predominantly reliant on manual measurements, have encountered challenges of inefficiency and lack of precision. In response to these impediments, this study advocates an innovative image processing-based methodology for optimizing vehicle cargo capacity. The research initially concentrates on refining stereo matching algorithms, aiming to elevate measurement accuracy and stability amidst complex environmental conditions. This enhancement proves particularly efficacious in measuring cargos with irregular contours and diverse reflective properties, facilitating more precise volume estimations. Additionally, the study introduces a novel methodology for volume calculation, predicated on the statistical analysis of pixel heights in images. This technique, utilizing meticulous camera calibration coupled with the extraction of pixel height data, enables the swift and accurate determination of cargo volume in vehicles, thereby markedly improving measurement efficiency and precision. The progress delineated herein not only paves a novel technological path for optimizing cargo capacity in logistics vehicles but also advances the application of image processing technology within the realm of intelligent logistics. The advancements hold substantial market potential and research significance, presenting a promising avenue for future explorations in this field.

关键词： intelligent logistics cargo capacity optimization image processing stereo matching algorithms volume measurement

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Disparity Map Estimation Based on Optimization algorithms using Satellite stereo Imagery

Disparity Map Estimation Based on Optimization Algorithms us...

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IEEE International Conference on Signal and Image Processing Applications

作者： Abdul Qayyum Aamir Saeed Malik Muhammad Naufal Bin Muhammad Saad Faris Abdullah Mahboob Iqbal Electrical and Electronics Engineering Department Universiti Teknologi PETRONAS Tronoh Perak Malaysia.

ISBN: (纸本)9781479989973

关键词： Pleiades satellite images IKONOS stereo matching algorithms Dynamic programming algorithm Block matching algorithm Energy minimization dynamic programming algorithm block matching vegetation Optimization algorithms MAPPING(MATHEMATICAL) maps trees Trees ENERGY MINIMISATION Power transmission lines images satellites Monitoring problem ELECTRICITY POLE Blackouts

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