Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Filters
























1,269 Hits in 4.3 sec

Evaluating and Improving the Depth Accuracy of Kinect for Windows v2

Lin Yang, Longyu Zhang, Haiwei Dong, Abdulhameed Alelaiwi, Abdulmotaleb El Saddik
2015 IEEE Sensors Journal  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (17.8 MB)
https://web.archive.org/web/20230105045608/https://arxiv.org/pdf/2212.13844v1.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL. The file type is application/pdf.

Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:

2022 pre-print arXiv:2212.13844v1 fatcat:akmjb4kjrze4nczxvxpob7pwgu
In this paper, we measure the depth accuracy of the newly released Kinect v2 depth sensor, and obtain a cone model to illustrate its accuracy distribution.  ...  We then evaluate the variance of the captured depth values by depth entropy. In addition, we propose a trilateration method to improve the depth accuracy with multiple Kinects simultaneously.  ...  ACKNOWLEDGMENT The authors extend their appreciation to the Deanship of Scientific Research at King Saud University, Riyadh, Saudi Arabia for funding this work through the International Research Group  ... 
doi:10.1109/jsen.2015.2416651 fatcat:vkdt2ywty5db3n4dajyuna5rom
Multiple Versions
Citation

Lin Yang, Longyu Zhang, Haiwei Dong, Abdulhameed Alelaiwi, Abdulmotaleb El Saddik. "Evaluating and Improving the Depth Accuracy of Kinect for Windows v2." IEEE Sensors Journal 15.8 (2015) 4275-4285

Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications

S. Zennaro, M. Munaro, S. Milani, P. Zanuttigh, A. Bernardi, S. Ghidoni, E. Menegatti
2015 2015 IEEE International Conference on Multimedia and Expo (ICME)  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (3.7 MB)
https://web.archive.org/web/20170809042107/http://www.dei.unipd.it/~munaro/media/Zennaro_ICME2015.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL. The file type is application/pdf.

Microsoft Kinect had a key role in the development of consumer depth sensors being the device that brought depth acquisition to the mass market.  ...  After an accurate analysis of the accuracy of the two sensors under different conditions, two sample applications, i.e., 3D reconstruction and people tracking, are presented and used to compare the performance  ...  Fig. 9 . 9 a) Depth accuracy and b) depth standard deviation of Kinect v1 and v2 at all ranges. Fig. 10 . 10 Depth resolution of Kinect v1 and v2 at all ranges.  ... 
doi:10.1109/icme.2015.7177380 dblp:conf/icmcs/ZennaroMMZBGM15 fatcat:dyjpj4pnbvgw3ngrc7kgd4pble
Citation

S. Zennaro, M. Munaro, S. Milani, P. Zanuttigh, A. Bernardi, S. Ghidoni, E. Menegatti. "Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications." 2015 IEEE International Conference on Multimedia and Expo (ICME) (2015) 1-6

Stability of Kinect for range of motion analysis in static stretching exercises

Fatemeh Mortazavi, Ali Nadian-Ghomsheh, Slavko Rogan
2018 PLoS ONE  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (8.3 MB)
https://web.archive.org/web/20190303222251/http://pdfs.semanticscholar.org/bc84/b8cd34bab60644fbc13218cf2c2996edddb8.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL. The file type is application/pdf.

The Microsoft Kinect v1 and v2 technologies apply depth information and machine vision techniques to generate 3D coordinates of a set of anatomical landmarks on the human body regarded as Kinect joints  ...  The purpose of this study was to evaluate stability of Kinect for ROM measurement during static stretching exercises.  ...  [13] , measured the depth accuracy of the Kinect v2 depth sensor and reported that the position of the target object observed by three Kinect sensors has 51.22 mm displacement in average.  ... 
doi:10.1371/journal.pone.0200992 pmid:30040848 pmcid:PMC6057630 fatcat:65l7dii3ozgjnjhnshhury34hm
DOAJ
Citation

Fatemeh Mortazavi, Ali Nadian-Ghomsheh, Slavko Rogan. "Stability of Kinect for range of motion analysis in static stretching exercises." PLoS ONE 13.7 (2018) e0200992

Evaluating Automatic Body Orientation Detection for Indoor Location from Skeleton Tracking Data to Detect Socially Occupied Spaces Using the Kinect v2, Azure Kinect and Zed 2i

Violeta Ana Luz Sosa-León, Angela Schwering
2022 Sensors  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (7.6 MB)
https://web.archive.org/web/20220520182230/https://mdpi-res.com/d_attachment/sensors/sensors-22-03798/article_deploy/sensors-22-03798.pdf?version=1652782898

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL. The file type is application/pdf.

Experimental results show accuracy above 90% for the Kinect v2, 96% for the Azure Kinect, and 89% for the Zed 2i for assessing socially relevant body orientation.  ...  In our user study implementing the system, we compared the capabilities and skeleton tracking datasets from three depth camera sensors, the Kinect v2, Azure Kinect, and Zed 2i.  ...  Informed Consent Statement: Informed consent was obtained from all subjects involved in the study.  ... 
doi:10.3390/s22103798 pmid:35632211 pmcid:PMC9146255 fatcat:ixja32hnf5gzvn2ty4kqxbeamu
DOAJ
Citation

Violeta Ana Luz Sosa-León, Angela Schwering. "Evaluating Automatic Body Orientation Detection for Indoor Location from Skeleton Tracking Data to Detect Socially Occupied Spaces Using the Kinect v2, Azure Kinect and Zed 2i." Sensors 22.10 (2022) 3798

An Improved Feature-Based Method for Fall Detection

2019 Tehnički Vjesnik  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (1.4 MB)
https://web.archive.org/web/20200209035509/https://hrcak.srce.hr/file/329374

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL. The file type is application/pdf.

Our approach is evaluated on a public dataset, TST fall detection dataset v2. The results show that our approach achieves an accuracy of 93.56%, which is better than other typical methods.  ...  Aiming at improving the efficiency and accuracy of fall detection, this paper fuses traditional feature-based methods and Support Vector Machine (SVM).  ...  Compared with the sliding window based method, the former one lets the accuracy and efficiency be improved by an order of magnitude.  ... 
doi:10.17559/tv-20190411015902 fatcat:ih6zqbcc6ngbvkqbla4dd7kn4y
DOAJ
Citation

"An Improved Feature-Based Method for Fall Detection." Tehnički Vjesnik 26.5 (2019)

Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study

Justin Amadeus Albert, Victor Owolabi, Arnd Gebel, Clemens Markus Brahms, Urs Granacher, Bert Arnrich
2020 Sensors  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (15.6 MB)
https://web.archive.org/web/20201012221931/https://res.mdpi.com/d_attachment/sensors/sensors-20-05104/article_deploy/sensors-20-05104-v2.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL. The file type is application/pdf.

Our results showed that the improved hardware and the motion tracking algorithm of the Azure Kinect camera led to a significantly higher accuracy of the spatial gait parameters than the predecessor Kinect  ...  In this study, we evaluated the motion tracking performance of the latest generation of the Microsoft Kinect camera, Azure Kinect, compared to its predecessor Kinect v2 in terms of treadmill walking using  ...  We acknowledge the support of the Deutsche Forschungsgemeinschaft and Open Access Publishing Fund of University of Potsdam. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20185104 pmid:32911651 fatcat:52drn65zwzfz5o72idx42kwta4
DOAJ
Citation

Justin Amadeus Albert, Victor Owolabi, Arnd Gebel, Clemens Markus Brahms, Urs Granacher, Bert Arnrich. "Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study." Sensors 20.18 (2020) 5104

A Post-Rectification Approach of Depth Images of Kinect v2 for 3D Reconstruction of Indoor Scenes

Jichao Jiao, Libin Yuan, Weihua Tang, Zhongliang Deng, Qi Wu
2017 ISPRS International Journal of Geo-Information  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (12.2 MB)
https://web.archive.org/web/20180728034028/https://res.mdpi.com/def5020006a21e0e610e12ca0095889bf200f13793d83632e05f5658a6fa0adb9f8d8c24620ce70660dd79cc221b7b41df6bbe64d2b43eb9345ef74f7754a146e2a572d7b4d3b79edb125af00285ec1ab1077bcd49b3898561867992ff342f847e1edf0bae94b948bc40d86c402a8914edab7e18081dec041f5ba7b534613cdfe6acc07cde332b?filename=&attachment=1

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL. The file type is application/pdf.

In other studies, the Microsoft Kinect for Windows v2 (Kinect v2) is utilized to complete this task, however, the accuracy and precision of depth information and the accuracy of correspondence between  ...  In this paper, we propose a post-rectification approach of the depth images to improve the accuracy and precision of depth information.  ...  The depth accuracy of the Kinect v2 is evaluated by the expectation of an offset matrix of the depth image, and the depth precision is evaluated by the standard deviation [20, 22] .  ... 
doi:10.3390/ijgi6110349 fatcat:4drmb3rmgbennnkeols4qg2zny
DOAJ Szczepanski
Citation

Jichao Jiao, Libin Yuan, Weihua Tang, Zhongliang Deng, Qi Wu. "A Post-Rectification Approach of Depth Images of Kinect v2 for 3D Reconstruction of Indoor Scenes." ISPRS International Journal of Geo-Information 6.11 (2017) 349

3-D Markerless Tracking of Human Gait by Geometric Trilateration of Multiple Kinects

Lin Yang, Bowen Yang, Haiwei Dong, Abdulmotaleb El Saddik
2018 IEEE Systems Journal  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (13.2 MB)
https://web.archive.org/web/20230104223608/https://arxiv.org/pdf/2301.00726v1.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL. The file type is application/pdf.

Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:

2022 pre-print arXiv:2301.00726v1 fatcat:dibyjykhmzcsvbhyu6kfd6p5lq
The accuracy of the proposed system is quantitatively evaluated and verified by a comparison with a commercial medical system (Delsys Trigno Smart Sensor System).  ...  A geometric principle-based trilateration method is proposed for optimizing the accuracy of the measured gait data.  ...  Recently, Kinect for Windows v2 sensor [14] , [15] has been released with improved specifications.  ... 
doi:10.1109/jsyst.2016.2553518 fatcat:wgf7ohg45zcdvd2dh3pccghfp4
Multiple Versions
Citation

Lin Yang, Bowen Yang, Haiwei Dong, Abdulmotaleb El Saddik. "3-D Markerless Tracking of Human Gait by Geometric Trilateration of Multiple Kinects." IEEE Systems Journal 12.2 (2018) 1393-1403

Repurposing the Microsoft Kinect for Windows v2 for external head motion tracking for brain PET

P J Noonan, J Howard, W A Hallett, R N Gunn
2015 Physics in Medicine and Biology  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (2.5 MB)
https://web.archive.org/web/20170829222207/https://spiral.imperial.ac.uk/bitstream/10044/1/27676/6/P%20J%20Noonan%20et%20al%202015%20Phys.%20Med.%20Biol.%2060%208753.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL. The file type is application/pdf.

A method for measuring rigid body type head motion using the Microsoft Kinect v2 is described with results presenting ⩽0.5 mm spatial accuracy.  ...  Restraining head movement during the scan does not eliminate motion entirely and can be unpleasant for the subject.  ...  The Kinect v2 was released in July 2014 and represents a significant improvement over the Kinect v1 sensor.  ... 
doi:10.1088/0031-9155/60/22/8753 pmid:26528727 fatcat:gbxsx6e7ojbt5pz556zrypxcv4
Open Access
Citation

P J Noonan, J Howard, W A Hallett, R N Gunn. "Repurposing the Microsoft Kinect for Windows v2 for external head motion tracking for brain PET." Physics in Medicine and Biology 60.22 (2015) 8753-8766

Toward evaluation of visual navigation algorithms on RGB-D data from the first- and second-generation Kinect

Marek Kraft, Michał Nowicki, Adam Schmidt, Michał Fularz, Piotr Skrzypczyński
2016 Machine Vision and Applications  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (3.3 MB)
https://web.archive.org/web/20171013044558/http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/5a7/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjEwMDcvczAwMTM4LTAxNi0wODAyLTYucGRm.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL. The file type is application/pdf.

Asus Xtion Pro Live, have some important limitations with respect to their range, field of view, and depth measurements accuracy.  ...  and SLAM, can benefit from the improved parameters.  ...  The RPE is well suited for measuring the drift of a VO system, like the one we apply in our evaluation of the Kinect v1 and Kinect v2 data.  ... 
doi:10.1007/s00138-016-0802-6 fatcat:qnozxatzsncwbm2wjidlh3o34a
Citation

Marek Kraft, Michał Nowicki, Adam Schmidt, Michał Fularz, Piotr Skrzypczyński. "Toward evaluation of visual navigation algorithms on RGB-D data from the first- and second-generation Kinect." Machine Vision and Applications 28.1-2 (2016) 61-74

Assessment and Rating of Motor Cerebellar Ataxias With the Kinect v2 Depth Sensor: Extending Our Appraisal

Takeru Honda, Hiroshi Mitoma, Hirotaka Yoshida, Kyota Bando, Hiroo Terashi, Takeshi Taguchi, Yohane Miyata, Satoko Kumada, Takashi Hanakawa, Hitoshi Aizawa, Shiro Yano, Toshiyuki Kondo (+3 others)
2020 Frontiers in Neurology  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (1.8 MB)
https://web.archive.org/web/20200315094409/https://fjfsdata01prod.blob.core.windows.net/articles/files/497061/pubmed-zip/.versions/1/.package-entries/fneur-11-00179/fneur-11-00179.pdf?sv=2015-12-11&sr=b&sig=ADI67CzuXnsGFPhU65nPd4gDZCZOBt2PsAqSr0q%2B7aI%3D&se=2020-03-15T09%3A44%3A39Z&sp=r&rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fneur-11-00179.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL. The file type is application/pdf.

We developed a Kinect v2. sensor system with a novel algorithm to measure and evaluate movements for two tests of Scale for the Assessment and Rating of Ataxia (SARA): the nose-finger test and gait.  ...  For the nose-finger test, we evaluated and compared accuracy, regularities and smoothness in the movements of the index finger and the proximal limbs between cerebellar patients and control subjects.  ...  The experimental protocol was approved by the Ethics Committee of Tokyo Medical University (2017-035), National Center of Neurology and Psychiatry (A2018-104) and Tokyo Metropolitan Institute of Medical  ... 
doi:10.3389/fneur.2020.00179 pmid:32218767 pmcid:PMC7078683 fatcat:onlp32welbda3fnjk4ygf7ljb4
DOAJ
Citation

Takeru Honda, Hiroshi Mitoma, Hirotaka Yoshida, Kyota Bando, Hiroo Terashi, Takeshi Taguchi, Yohane Miyata, Satoko Kumada, Takashi Hanakawa, Hitoshi Aizawa, Shiro Yano, Toshiyuki Kondo, Hidehiro Mizusawa, Mario Manto, Shinji Kakei. "Assessment and Rating of Motor Cerebellar Ataxias With the Kinect v2 Depth Sensor: Extending Our Appraisal." Frontiers in Neurology (2020) 179

INTEGRATION OF KINECT AND LOW-COST GNSS FOR OUTDOOR NAVIGATION

D. Pagliari, L. Pinto, M. Reguzzoni, L. Rossi
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (1.9 MB)
https://web.archive.org/web/20180601205258/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/565/2016/isprs-archives-XLI-B5-565-2016.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL. The file type is application/pdf.

The characteristics and the potentiality of the Kinect sensor have been widely studied for indoor applications.  ...  In this work the accuracy and the field of application of the new generation of Kinect sensor have been tested outdoor, considering different lighting conditions and the reflective properties of the emitted  ...  The depth measurement accuracy of the Kinect v2 sensor has been evaluated outdoor, considering the depth response on a shaded planar surface.  ... 
doi:10.5194/isprs-archives-xli-b5-565-2016 fatcat:qdr2shye5va3xozjhflrfpwkbu
DOAJ
Citation

D. Pagliari, L. Pinto, M. Reguzzoni, L. Rossi. "INTEGRATION OF KINECT AND LOW-COST GNSS FOR OUTDOOR NAVIGATION." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2016) 565-572

INTEGRATION OF KINECT AND LOW-COST GNSS FOR OUTDOOR NAVIGATION

D. Pagliaria, L. Pinto, M. Reguzzoni, L. Rossi
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (1.9 MB)
https://web.archive.org/web/20180601205258/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/565/2016/isprs-archives-XLI-B5-565-2016.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL. The file type is application/pdf.

The characteristics and the potentiality of the Kinect sensor have been widely studied for indoor applications.  ...  In this work the accuracy and the field of application of the new generation of Kinect sensor have been tested outdoor, considering different lighting conditions and the reflective properties of the emitted  ...  The depth measurement accuracy of the Kinect v2 sensor has been evaluated outdoor, considering the depth response on a shaded planar surface.  ... 
doi:10.5194/isprsarchives-xli-b5-565-2016 fatcat:flbrccqdwbctppy4cjlyl5vqly
DOAJ
Citation

D. Pagliaria, L. Pinto, M. Reguzzoni, L. Rossi. "INTEGRATION OF KINECT AND LOW-COST GNSS FOR OUTDOOR NAVIGATION." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2016) 565-572

SUN RGB-D: A RGB-D scene understanding benchmark suite

Shuran Song, Samuel P. Lichtenberg, Jianxiong Xiao
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (5.1 MB)
https://web.archive.org/web/20150906075500/http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Song_SUN_RGB-D_A_2015_CVPR_paper.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL. The file type is application/pdf.

Perhaps one of the main reasons is the lack of a large-scale benchmark with 3D annotations and 3D evaluation metrics.  ...  In this paper, we introduce an RGB-D benchmark suite for the goal of advancing the state-of-the-arts in all major scene understanding tasks.  ...  Efros and Szymon Rusinkiewicz for valuable discussion.  ... 
doi:10.1109/cvpr.2015.7298655 dblp:conf/cvpr/SongLX15 fatcat:d6huvfgrfngvjg6wr65hspou2e
Citation

Shuran Song, Samuel P. Lichtenberg, Jianxiong Xiao. "SUN RGB-D: A RGB-D scene understanding benchmark suite." 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015) 567-576

Gesture Detection Towards Real-Time Ergonomic Analysis for Intelligent Automation Assistance [chapter]

Chika Edith Mgbemena, John Oyekan, Ashutosh Tiwari, Yuchun Xu, Sarah Fletcher, Windo Hutabarat, Vinayak Prabhu
2016 Advances in Intelligent Systems and Computing  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (703.1 kB)
https://web.archive.org/web/20200305115952/https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/10522/Gesture_detection_towards_real-time_ergonomic_analysis_for_intelligent_automation_assistance_2016.pdf;jsessionid=802E0F047C0B42B2C3E6F97830713268?sequence=3

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL. The file type is application/pdf.

This paper presents an application developed to detect gestures towards triggering real-time human motion data capture on the shop floor for ergonomic evaluations and risk assessment using the Microsoft  ...  Manual handling involves transporting of load by hand through lifting or lowering and operators on the manufacturing shop floor are daily faced with constant lifting and lowering operations which leads  ...  The authors would like to acknowledge the Petroleum Technology Development Fund, PTDF Nigeria for supporting this work by sponsoring the PhD of one of the authors.  ... 
doi:10.1007/978-3-319-41697-7_20 fatcat:vxgycqt3n5gcjnastymjbw53wq
Citation

Chika Edith Mgbemena, John Oyekan, Ashutosh Tiwari, Yuchun Xu, Sarah Fletcher, Windo Hutabarat, Vinayak Prabhu. "Gesture Detection Towards Real-Time Ergonomic Analysis for Intelligent Automation Assistance." Advances in Intelligent Systems and Computing (2016) 217-228

« Previous Showing results 1 — 15 out of 1,269 results