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Real-Time Human Pose Recognition in Parts from Single Depth Images [chapter]

Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, Andrew Blake
2013 Studies in Computational Intelligence  
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information.  ...  We take an object recognition approach, designing an intermediate body parts representation that maps the difficult pose estimation problem into a simpler per-pixel classification problem.  ...  We thank the many skilled engineers in Xbox, particularly Robert Craig, Matt Bronder, Craig Peeper, Momin Al-Ghosien, and Ryan Geiss, who built the Kinect tracking system on top of this research.  ... 
doi:10.1007/978-3-642-28661-2_5 fatcat:ltt4bcflfnbdrd6yjqa7vdskmi

Real-time human pose recognition in parts from single depth images

Jamie Shotton, Toby Sharp, Alex Kipman, Andrew Fitzgibbon, Mark Finocchio, Andrew Blake, Mat Cook, Richard Moore
2013 Communications of the ACM  
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information.  ...  We take an object recognition approach, designing an intermediate body parts representation that maps the difficult pose estimation problem into a simpler per-pixel classification problem.  ...  We thank the many skilled engineers in Xbox, particularly Robert Craig, Matt Bronder, Craig Peeper, Momin Al-Ghosien, and Ryan Geiss, who built the Kinect tracking system on top of this research.  ... 
doi:10.1145/2398356.2398381 fatcat:ov3jdqq4ufhpjlkvyylwlsruoi

Real-time human pose recognition in parts from single depth images

Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, Andrew Blake
2011 CVPR 2011  
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information.  ...  We take an object recognition approach, designing an intermediate body parts representation that maps the difficult pose estimation problem into a simpler per-pixel classification problem.  ...  We thank the many skilled engineers in Xbox, particularly Robert Craig, Matt Bronder, Craig Peeper, Momin Al-Ghosien, and Ryan Geiss, who built the Kinect tracking system on top of this research.  ... 
doi:10.1109/cvpr.2011.5995316 dblp:conf/cvpr/ShottonFCSFMKB11 fatcat:nwq7ufwe2fcihjjr2w4f36rmg4

Principal direction analysis-based real-time 3D human pose reconstruction from a single depth image

Dong-Luong Dinh, Hee-Sok Han, Hyun Jae Jeon, Sungyoung Lee, Tae-Seong Kim
2013 Proceedings of the Fourth Symposium on Information and Communication Technology - SoICT '13  
In this paper, we present a novel approach to recover a 3D human pose in real-time from a single depth human silhouette using Principal Direction Analysis (PDA) on each recognized body part.  ...  Human pose estimation in real-time is a challenging problem in computer vision.  ...  INTRODUCTION Recovering 3D human body poses from a sequence of images in real-time is a challenging problem in computer vision.  ... 
doi:10.1145/2542050.2542071 dblp:conf/soict/DinhHJLK13 fatcat:dk4iqs53gvfj7efpnbyfiepzyi

Space-Time Representation of People Based on 3D Skeletal Data: A Review [article]

Fei Han, Brian Reily, William Hoff, Hao Zhang
2017 arXiv   pre-print
This paper presents a comprehensive survey of existing space-time representations of people based on 3D skeletal data, and provides an informative categorization and analysis of these methods from the  ...  Recently, skeleton-based human representations have been intensively studied and kept attracting an increasing attention, due to their robustness to variations of viewpoint, human body scale and motion  ...  Gall, A survey on human A. Kipman, A. Blake, Real-time human pose recognition in parts from motion analysis from depth data, in: Time-of-Flight and Depth Imaging.  ... 
arXiv:1601.01006v3 fatcat:zgpmw3xqunajtctu4e7minjyx4

Real-time gymnast detection and performance analysis with a portable 3D camera

Brian Reily, Hao Zhang, William Hoff
2017 Computer Vision and Image Understanding  
"Real-time human pose recognition in parts from single depth images" [5] September 25, 2017 September 25, 2017 https://www.youtube.com/v/LRK8vK6NXfg https://www.youtube.com/v/IFTE_Lna9So  ...  gradients • SVM sliding window classifier -Single class: human vs not human -Trained on a large variety of gymnast poses; robust to changes in body size and orientation • Need to detect when the  ...  Feet are assumed to the lower of the two long vectors Timing spins • Find the times when the feet achieve greatest deviation in x • Fit to a cubic spline, to interpolate the exact time of an extrema •  ... 
doi:10.1016/j.cviu.2016.11.006 fatcat:efrgzd66ynf2rjnitqemp6sjfq

3D Action Recognition from Novel Viewpoints

Hossein Rahmani, Ajmal Mian
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
The proposed model is able to generalize to real depth images of unseen poses without the need for re-training or fine-tuning.  ...  Experiments on two multiview and three single-view benchmark datasets show that the proposed method dramatically outperforms existing state-of-the-art in action recognition.  ...  We learn a single model for all poses and views without using action labels and show that our model generalizes to real depth images of unseen human poses acquired from novel views without re-training  ... 
doi:10.1109/cvpr.2016.167 dblp:conf/cvpr/RahmaniM16 fatcat:zjhym2yw4jgsblnxu7hjy7b6g4

An Improved Approach for 3D Hand Pose Estimation Based on a Single Depth Image and Haar Random Fores

2015 KSII Transactions on Internet and Information Systems  
The results confirmed its practical use in classifying hand area and successfully tracked and recovered the 3D hand pose in a real time fashion.  ...  Through the experiment, we were able to prove that the proposed method showed improvement rates in hand part recognition and a performance of 20-30 fps.  ...  Fig. 11 . 11 Real-time hand region classification of depth images from the Kinect sensor Fig. 12 12 shows real-time 3D hand pose estimation by fitting of hand skeleton from input images from the Kinect  ... 
doi:10.3837/tiis.2015.08.023 fatcat:udw2paxne5b2rizzdqlyarjnqq

Human Pose Recognition Based on Depth Image Multifeature Fusion

Haikuan Wang, Feixiang Zhou, Wenju Zhou, Ling Chen
2018 Complexity  
The recognition of human pose based on machine vision usually results in a low recognition rate, low robustness, and low operating efficiency.  ...  A new data set is then established to train the random forest classifier, and a random forest two-way voting mechanism is adopted to classify the pixels on different parts of the human body depth image  ...  Therefore, a human pose recognition method based on depth image multifeature fusion is proposed in this paper.  ... 
doi:10.1155/2018/6271348 fatcat:kuibab4e7fenhkvkp2csgesdfe

Poster: Real time hand pose recognition with depth sensors for mixed reality interfaces

Byungkyu Kang, Mathieu Rodrigue, Tobias Hollerer, Hwasup Lim
2013 2013 IEEE Symposium on 3D User Interfaces (3DUI)  
We present a method for predicting articulated hand poses in realtime with a single depth camera, such as the Kinect or Xtion Pro, for the purpose of interaction in a Mixed Reality environment and for  ...  This object recognition approach to predict hand poses results in relatively low computation, high prediction accuracy and sets the groundwork needed to utilize articulated hand movements for 3D tasks  ...  ACKNOWLEDGEMENTS This work was supported in part by NSF CAREER grant IIS-0747520 and ONR grant N00014-09-1-1113.  ... 
doi:10.1109/3dui.2013.6550233 dblp:conf/3dui/KangRHL13 fatcat:bveortwberfojisthvnnocfdia

Hand Part Classification Using Single Depth Images [chapter]

Myoung-Kyu Sohn, Dong-Ju Kim, Hyunduk Kim
2015 Lecture Notes in Computer Science  
In this paper we present a method for hand part classification and joint estimation from a single depth image. We apply random decision forests(RDF) for hand part classification.  ...  Finally we apply our algorithm to the real depth image from conventional 3D camera and show the experiment result.  ...  [8] use depth images acquired by a time-of-flight camera for hand gesture recognition.  ... 
doi:10.1007/978-3-319-16631-5_19 fatcat:4mmhtqjkovhmrd4y7le3qpgcj4

3D Point Cloud Descriptor for Posture Recognition

Margarita Khokhlova, Cyrille Migniot, Albert Dipanda
2018 Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
action recognition, gait analysis, human-computer interaction.  ...  The proposed algorithm preserves spatial contextual information about a 3D object in a video sequence and can be used as an intermediate step in human-motion related Computer Vision applications such as  ...  (Shotton et al., 2013) , which proposes a real-time algorithm which segments a human body from a corresponding depth map and locates skeleton joints.  ... 
doi:10.5220/0006541801610168 dblp:conf/visapp/KhokhlovaMD18 fatcat:6oaxr2ehmvfkfhb6vzave6fp6q

Real-Time Human Pose Estimation and Gesture Recognition from Depth Images Using Superpixels and SVM Classifier

Hanguen Kim, Sangwon Lee, Dongsung Lee, Soonmin Choi, Jinsun Ju, Hyun Myung
2015 Sensors  
In the gesture recognition method, gestures are recognized from the pose information of a human body.  ...  In this paper, we present human pose estimation and gesture recognition algorithms that use only depth information.  ...  The authors were involved in writing the paper, the literature review and the discussion of the results. Conflicts of Interest The authors declare no conflict of interest. Sensors 2015, 15  ... 
doi:10.3390/s150612410 pmid:26016921 pmcid:PMC4507703 fatcat:jecsx4r4hffu5p2vhe24asy7lu

Automated video surveillance for preventing suicide attempts

W. Bouachir, R. Noumeir
2016 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016)  
Nowadays, computer vision methods for real-time video analysis have experienced impressive progress.  ...  Inmate suicide by hanging is documented as a major cause of death in prisons.  ...  Acknowledgement This work was supported by research grants from the Natural Sciences and Engineering Research Council of Canada, MITACS, and an industrial funding from Aerosystems International Inc.  ... 
doi:10.1049/ic.2016.0081 dblp:conf/icdp/BouachirN16 fatcat:ynobrjr6djgw7jvsqjhe5ptucq

Accurate 3D Human Pose Recognition via Fusion of Depth and Motion Sensors

S. B. Nam, S. U. Park, J. H. Park, M. D. Zia Uddin, T. S. Kim
2015 International Journal of Future Computer and Communication  
To achieve an accurate and stable recognition of human poses in real-time, in this study, we propose to use inertial measurement units (IMUs) which are used to estimate the orientation of body limbs and  ...  Lately, 3D HPR is widely performed using a depth imaging sensor, but this approach has limitations: 1) orientations of body parts cannot be accurately recognized and 2) it suffers from occlusion.  ...  To verify our methodology, we have performed real-time pose recognition in 3D.  ... 
doi:10.18178/ijfcc.2015.4.5.412 fatcat:6syuitbfwzbmxn7umn4ntubksm
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