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View invariant human action recognition using histograms of 3D joints
2012
2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
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In this paper, we present a novel approach for human action recognition with histograms of 3D joint locations (HOJ3D) as a compact representation of postures. ...
In addition, due to the design of our spherical coordinate system and the robust 3D skeleton estimation from Kinect, our method demonstrates significant view invariance on our 3D action dataset. ...
[33] define a view-invariant representation of actions based on the theory of 2D and 3D invariants. ...
doi:10.1109/cvprw.2012.6239233
dblp:conf/cvpr/XiaCA12
fatcat:s6y7h3chu5azrmd5ey6zzu5dfq
Skeleton based View Invariant Human Action Recognition using Convolutional Neural Networks
2019
International journal of recent technology and engineering
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The skeletal based human action recognition has its significant applications in the field of human computer interaction and human recognition from surveillance videos. ...
The task of human action recognition in this paper is performed in three stages. ...
The problem is considered to solve by making the 3D human skeleton joint location immune to view variations with the help of sequence based view invariant transform. ...
doi:10.35940/ijrte.b3547.078219
fatcat:xiyh5cn47zfn3nm776amdrjaye
Efficient Pose-Based Action Recognition
[chapter]
2015
Lecture Notes in Computer Science
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Despite of its efficiency, our approach achieves state-of-the-art accuracy on four different benchmarks. We further investigate differences of 2d and 3d pose data for action recognition. ...
Action recognition from 3d pose data has gained increasing attention since the data is readily available for depth or RGB-D videos. ...
This work was carried out in the project automatic activity recognition in large image databases which is funded by the German Research Foundation (DFG). ...
doi:10.1007/978-3-319-16814-2_28
fatcat:67snrpw325hylgxtnhrocey4ae
Human action recognition using multiple views
2011
Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding - J-HGBU '11
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Additionally, we discuss some of the shortcomings of multi-view camera setups and outline our thoughts on future directions of 3D human action recognition. ...
This paper presents a review and comparative study of recent multi-view 2D and 3D approaches for human action recognition. The approaches are reviewed and categorized due to their nature. ...
They apply a cylindrical histogram and compute an invariant measure of the distribution of reconstructed voxels, which later was used by Pierobon et al. [37] for human action recognition. ...
doi:10.1145/2072572.2072588
dblp:conf/mm/Holte0TM11
fatcat:d6xmw4zwqjcapbatbg2256oyca
A View-invariant Framework for Fast Skeleton-based Action Recognition using a Single RGB Camera
2019
Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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View-invariant action recognition using a single RGB camera represents a very challenging topic due to the lack of 3D information in RGB images. ...
Taking advantage of this impressive progress, we propose a simple framework for fast and view-invariant action recognition using a single RGB camera. ...
The main contributions of this paper may be summarized as follows: • A novel framework for fast view-invariant human action recognition using a single RGB camera. • Comparison of two different view-invariant ...
doi:10.5220/0007524405730582
dblp:conf/visapp/GhorbelPBPDAO19
fatcat:g7565vyywnb6fkw2rrzzx54jf4
Histogram of Oriented Principal Components for Cross-View Action Recognition
[article]
2015
arXiv
pre-print
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HOPC is also used for the detection of Spatio-Temporal Keypoints (STK) in 3D pointcloud sequences so that view-invariant STK descriptors (or Local HOPC descriptors) at these key locations only are used ...
We have evaluated the performance of our proposed descriptors against nine existing techniques on two cross-view and three single-view human action recognition datasets. ...
ACKNOWLEDGMENT We thank the authors of [29] for providing the Northwestern-UCLA Multiview Action3D dataset and especially Dr Jiang Wang for answering our questions about the implementation of AOG [29 ...
arXiv:1409.6813v2
fatcat:mfxdqn53cnfhlhcm2ya6rjko4y
HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition
[article]
2014
arXiv
pre-print
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Existing techniques for 3D action recognition are sensitive to viewpoint variations because they extract features from depth images which change significantly with viewpoint. ...
In contrast, we directly process the pointclouds and propose a new technique for action recognition which is more robust to noise, action speed and viewpoint variations. ...
HOPC: Histogram of Oriented Principal Components for Action Recognition ...
arXiv:1408.3809v4
fatcat:wdyeedcg2vdw3nwcs27xql6hne
Arm-hand Action Recognition Based on 3D Skeleton Joints
2017
DEStech Transactions on Engineering and Technology Research
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In this paper, a simple and reliable method for arm-hand action recognition is proposed based on the representation of 3D skeleton joints. ...
Finally, arm-hand action recognition is implemented by training SVMs using different kernel functions and parameters. ...
Figure 1 . 1 20 Human Joints achieved from Kinect view.
Figure 3 . 3 Draw circle action in 45 degree view.
Figure 4 . 4 Overview of the proposed method. ...
doi:10.12783/dtetr/icca2016/6018
fatcat:v2dzizyfffehpepvlpkahf6qem
HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition
[chapter]
2014
Lecture Notes in Computer Science
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Existing techniques for 3D action recognition are sensitive to viewpoint variations because they extract features from depth images which change significantly with viewpoint. ...
In contrast, we directly process the pointclouds and propose a new technique for action recognition which is more robust to noise, action speed and viewpoint variations. ...
HOPC: Histogram of Oriented Principal Components for Action Recognition ...
doi:10.1007/978-3-319-10605-2_48
fatcat:5hq7seu2sbhm3ezf3vwdfv6ipq
Fusion of Skeletal and Silhouette-Based Features for Human Action Recognition with RGB-D Devices
2013
2013 IEEE International Conference on Computer Vision Workshops
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Based on human silhouettes Silhouettes have been used extensively for human action recognition. ...
The silhouette of the human body has been proven to be Pick-up and throw from the MSR Action3D dataset [11] useful for action recognition [16] . ...
doi:10.1109/iccvw.2013.19
dblp:conf/iccvw/ChaaraouiPF13
fatcat:jb5bhxrmmvb47hcbyms6yn37hq
Learning Action Recognition Model from Depth and Skeleton Videos
2017
2017 IEEE International Conference on Computer Vision (ICCV)
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Analysis of human actions based on 3D skeleton data has become popular recently, due to its robustness and view-invariant representation. ...
Depth sensors open up possibilities of dealing with the human action recognition problem by providing 3D human skeleton data and depth images of the scene. ...
Proposed Approach This section presents a view-invariant human action recognition model using a depth camera. The proposed architecture is illustrated in Fig. 1 . ...
doi:10.1109/iccv.2017.621
dblp:conf/iccv/RahmaniB17
fatcat:m5bienrtybfrbnouuom5lwzgra
Space-Time Representation of People Based on 3D Skeletal Data: A Review
[article]
2017
arXiv
pre-print
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Spatiotemporal human representation based on 3D visual perception data is a rapidly growing research area. ...
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 ...
Srivastava, Action recognition using rate-invariant
[161] C. Zhang, Y. ...
arXiv:1601.01006v3
fatcat:zgpmw3xqunajtctu4e7minjyx4
Combining Pose-Invariant Kinematic Features and Object Context Features for RGB-D Action Recognition
2019
International Journal of Machine Learning and Computing
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Using RGB, depth and skeletal joints, the proposed framework extracts a novel set of pose-invariant motion kinematic features based on 3D scene flow and captures the motion of body parts with respect to ...
Action recognition using RGB-D cameras is a popular research topic. ...
ACKNOWLEDGEMENTS This research is supported by the BeingTogether Centre, a collaboration between Nanyang Technological University (NTU) Singapore and University of North Carolina (UNC) at Chapel Hill. ...
doi:10.18178/ijmlc.2019.9.1.763
fatcat:etvpm6gfnfasjgetbcinuugpda
Human Pose Estimation and Activity Recognition From Multi-View Videos: Comparative Explorations of Recent Developments
2012
IEEE Journal on Selected Topics in Signal Processing
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We report a comparison of the most promising methods for multi-view human action recognition using two publicly available datasets: the INRIA Xmas Motion Acquisition Sequences (IXMAS) Multi-View Human ...
Finally, we discuss some of the shortcomings of multi-view camera setups and outline our thoughts on future directions of 3D body pose estimation and human action recognition. ...
Nikolaidis, Informatics, and Telematics Institute, Center for Research and Technology Hellas, Greece, and Department of Informatics, Aristotle University of Thessaloniki, Greece, for their support on the ...
doi:10.1109/jstsp.2012.2196975
fatcat:2sqvghpigzczzlrrl3iziyg63a
Computer Based Human Gesture Recognition With Study Of Algorithms
2013
IOSR Journal of Computer Engineering
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Two different approaches in gesture recognition is related to 3D model and related to appearance-based.3D model is used to provide information related the body parts like thumb, position of palm, joint ...
Gesture recognition is a technology of computer science with the goal of interpreting human gestures or human motion via mathematical algorithms. ...
A view-based approach to the representation and recognition of human movement using temporal templates is presented. ...
doi:10.9790/0661-1124150
fatcat:waqx335o2rgezj7c3omkiie4di
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