Filters








2,737 Hits in 7.6 sec

A Spatial Division Clustering Method and Low Dimensional Feature Extraction Technique Based Indoor Positioning System

Yun Mo, Zhongzhao Zhang, Weixiao Meng, Lin Ma, Yao Wang
2014 Sensors  
In terms of fine localization, based on the Kernel Principal Component Analysis method, the proposed positioning system outperforms its counterparts based on other feature extraction methods in low dimensionality  ...  To solve these issues, in this paper we propose a positioning system based on the Spatial Division Clustering (SDC) method for clustering the fingerprint dataset subject to physical distance constraints  ...  In sum, the Kernel PCA algorithm deployed in the proposed indoor positioning system is more capable of extracting the features of RSS with low dimensionality in an office environment, its robustness and  ... 
doi:10.3390/s140101850 pmid:24451470 pmcid:PMC3926643 fatcat:3hbunoppprfg7p5uxinrre4rq4

A Survey of Machine Learning for Indoor Positioning

Ahasanun Nessa, Bhagawat Adhikari, Fatima Hussain, Xavier Fernando
2020 IEEE Access  
In fingerprint-method clustering is performed based on these extracted features. Feature extraction is also important for NLOS identification and mitigation.  ...  The fingerprinting position method based on RSSI measurement can be used for RFID-based indoor positioning systems [65] .  ... 
doi:10.1109/access.2020.3039271 fatcat:htzgf2mwp5gmjbx3cczg5rl7ru

Indoor versus outdoor scene recognition for navigation of a micro aerial vehicle using spatial color gist wavelet descriptors

Anitha Ganesan, Anbarasu Balasubramanian
2019 Visual Computing for Industry, Biomedicine, and Art  
A binary and multiclass support vector machine (SVM) classifier with linear and non-linear kernels was used to classify indoor versus outdoor scenes and indoor scenes, respectively.  ...  In this paper, we have also discussed the feature extraction methodology of several, state-of-the-art visual descriptors, and four proposed visual descriptors (Ohta color-GIST descriptors, Ohta color-GIST  ...  Availability of data and materials The datasets used and/or analyzed for indoor versus outdoor scene categorization and indoor scene categorization are available from the corresponding author on reasonable  ... 
doi:10.1186/s42492-019-0030-9 pmid:32240408 fatcat:5ik3pd24izf7toiio343kcu72m

Indoor positioning and wayfinding systems: a survey

Jayakanth Kunhoth, AbdelGhani Karkar, Somaya Al-Maadeed, Abdulla Al-Ali
2020 Human-Centric Computing and Information Sciences  
In particular, the paper reviews different computer vision-based indoor navigation and positioning systems along with indoor scene recognition methods that can aid the indoor navigation.  ...  The article concludes with a brief insight into future directions in indoor positioning and navigation systems.  ...  Compared to 2-dimensional image feature based approaches 3-dimensional features and RGB-D image-based methods are more reliable for indoor navigation.  ... 
doi:10.1186/s13673-020-00222-0 fatcat:m7lt5zdcjbbsvlh7fwatjvpx6y

Machine Learning Based Indoor Localization Using Wi-Fi RSSI Fingerprints: An Overview

Navneet Singh, Sangho Choe, Rajiv Punmiya
2021 IEEE Access  
To provide good direction for future research, we discuss the current challenges and potential solutions related to ML-based indoor localization systems.  ...  Based on various practical issues related to large delays, high design cost, and limited performance, conventional localization techniques are not practical for indoor IoT applications.  ...  However, LDA is not applicable for nonlinear applications [130] . 6) t-SNE t-SNE is a nonlinear, unsupervised, and manifold-based feature extraction method that maps high-dimensional data to low-dimensional  ... 
doi:10.1109/access.2021.3111083 fatcat:7o6zb7kycrgftfpsukuwnsl24m

Extended Spectral Regression for efficient scene recognition

Liyuan Li, Weixun Goh, Joo Hwee Lim, Sinno Jialin Pan
2014 Pattern Recognition  
In the ESR-based scene recognition, we first propose an enhanced lowlevel feature representation which combines the scale, orientation, spatial position, and local appearance of a local feature.  ...  Then, an efficient Bag-of-Words (BOW) based method is developed which employs ESR to encapsulate local visual features with their semantic, spatial, scale, and orientation information for scene recognition  ...  , spatial position, and visual appearance of a local feature.  ... 
doi:10.1016/j.patcog.2014.03.012 fatcat:qmywq66dsbg5hknv5jgximwnqe

A Survey of Recent Indoor Localization Scenarios and Methodologies

Tian Yang, Adnane Cabani, Houcine Chafouk
2021 Sensors  
The key localization techniques like RSSI-based fingerprinting technique are presented using supervised machine learning methods, namely SVM (support vector machine), KNN (K nearest neighbors) and NN (  ...  In this survey, a large number of existing techniques are presented for different indoor network structures and channel conditions, divided as LOS (light-of-sight) and NLOS (non light-of-sight).  ...  The program is cofinanced by the Normandy Region and the European Union. Europe is committed in Normandy with the European Regional Development Fund (ERDF).  ... 
doi:10.3390/s21238086 pmid:34884090 fatcat:juacgglap5f5jaezn3w2lrur3u

A State-of-the-Art Survey on Multidimensional Scaling Based Localization Techniques

Nasir Saeed, Haewoon Nam, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini
2019 IEEE Communications Surveys and Tutorials  
Generally, the most popular localization/positioning system is the global positioning system (GPS). GPS works well for outdoor environments but fails in indoor and harsh environments.  ...  In this paper, a comprehensive survey is presented for MDS and MDS-based localization techniques in WSNs, IoT, cognitive radio networks, and 5G networks.  ...  All of the above mentioned indoor positioning systems are based on a specific ranging technique.  ... 
doi:10.1109/comst.2019.2921972 fatcat:5vaody5gybfproeakhrr5ch4eu

3-D Data Models [chapter]

2017 Encyclopedia of GIS  
Synonyms 3D data clustering; 3D Geo-DBMS; 3D spatial indexing; Access method; Urban data management; Vector quantization  ...  Acknowledgements This study was supported by TUBITAK-The Scientific and Technological Research Council of Turkey research grant [grant number: 112Y050].  ...  Grid-Based Algorithms Grid-based algorithm is the clustering technique that quantizes a space or region into a finite number of cells.  ... 
doi:10.1007/978-3-319-17885-1_100004 fatcat:6o75kluwh5dknle7cvmgmnsnja

Intelligent image classification-based on spatial weighted histograms of concentric circles

Bushra Zafar, Rehan Ashraf, Nouman Ali, Mudassar Ahmed, Sohail Jabbar, Kashif Naseer, Awais Ahmad, Gwanggil Jeon
2018 Computer Science and Information Systems  
However, SPM is not rotation-invariant and does not allow a change in pose and view point, and it represents the image in a very high dimensional space.  ...  Spatial Pyramid Matching (SPM) is a popular technique that computes the spatial layout of the 2-D image space.  ...  Clustering reduces the high dimensional feature space; hence as a result of clustering, each descriptor is mapped to a visual word and the final representation of the image is the histogram of visual words  ... 
doi:10.2298/csis180105025z fatcat:gqfhh3xxavf3bad4t44p3ujcjm

3D Models [chapter]

2017 Encyclopedia of GIS  
Synonyms 3D data clustering; 3D Geo-DBMS; 3D spatial indexing; Access method; Urban data management; Vector quantization  ...  Acknowledgements This study was supported by TUBITAK-The Scientific and Technological Research Council of Turkey research grant [grant number: 112Y050].  ...  Grid-Based Algorithms Grid-based algorithm is the clustering technique that quantizes a space or region into a finite number of cells.  ... 
doi:10.1007/978-3-319-17885-1_100007 fatcat:n7jatghxh5filenbpkconn44hu

A State-of-the-Art Survey on Multidimensional Scaling Based Localization Techniques [article]

Nasir Saeed, Haewoon Nam, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini
2019 arXiv   pre-print
Generally, the most popular localization/ positioning system is the Global Positioning System (GPS). GPS works well for outdoor environments but fails in indoor and harsh environments.  ...  In this paper, a comprehensive survey is presented for MDS and MDS based localization techniques in WSNs, Internet of Things (IoT), cognitive radio networks, and 5G networks.  ...  All of the above mentioned indoor positioning systems are based on a specific ranging technique.  ... 
arXiv:1906.03585v1 fatcat:n2erdwcivfgflncbrunexyidwi

Interoperability, XML Schema [chapter]

2017 Encyclopedia of GIS  
Geospatial Semantic Integration Geospatial Semantic Web Geospatial Semantic Web: Applications Geospatial Semantic Web, Interoperability Geospatial Semantic Web: Personalization Indexing, Hilbert R-Tree, Spatial  ...  The intelligence extraction step is performed by image interpreters through spectral and object-based classification techniques as well as varying forms of automated and manual feature extraction methods  ...  It offers a standard way to encode spatial features, feature properties, feature geometries, and the location of the feature geometries based on a standard data model.  ... 
doi:10.1007/978-3-319-17885-1_100625 fatcat:bgxdhdxa4bewzcggrogz56rdpi

2D/3D Sensor Exploitation and Fusion for Enhanced Object Detection

Jiejun Xu, Kyungnam Kim, Zhiqi Zhang, Hai-Wen Chen, Yuri Owechko
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
This paper describes a method for object (e.g., vehicles, pedestrians) detection and recognition using a combination of 2D and 3D sensor data.  ...  ., clusters of 3D points) containing potential objects are extracted from the corresponding input point cloud in an unsupervised manner.  ...  Most of the existing clustering methods rely on spatial decomposition techniques that find subdivisions and boundaries to allow the data to be grouped together based on a measure of "proximity.  ... 
doi:10.1109/cvprw.2014.119 dblp:conf/cvpr/XuKZCO14 fatcat:enczztlksnd6vbwmmnbohp3zfi

Scene search based on the adapted triangular regions and soft clustering to improve the effectiveness of the visual-bag-of-words model

Zahid Mehmood, Naila Gul, Muhammad Altaf, Toqeer Mahmood, Tanzila Saba, Amjad Rehman, Muhammad Tariq Mahmood
2018 EURASIP Journal on Image and Video Processing  
This article presents a novel adapted triangular area-based technique, which computes local intensity order pattern (LIOP) features, weighted soft codebooks, and triangular histograms from the four triangular  ...  The position of an object within an image is obtained by analyzing the content-based properties like shape, texture, and color, while compositional properties present the image layout and include the photographic  ...  ., patch-level and image-level, are employed for feature fusion. For compact representation of high-dimensional feature vector, clustering technique based on k-means is used to formulate a codebook.  ... 
doi:10.1186/s13640-018-0285-7 fatcat:pnmnmssgkjdhxmmu4cmffst65i
« Previous Showing results 1 — 15 out of 2,737 results